Part 1 Course Project
14 Feb 2025
library(tidyverse)## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.0.4
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(dplyr)Overview
This document contains instructions on the course
project for STA 141A Winter 2025. This document is made with
R markdown. The rmd file to generate this
document is available on the course website.
Background
In this project, we analyze a subset of data collected by Steinmetz et al. (2019). While this document provides the basic understanding of the experiments, it is highly recommended that one consults the original publication for a more comprehensive understanding in order to improve the quality of the analysis report.
In the study conducted by Steinmetz et al. (2019), experiments were performed on a total of 10 mice over 39 sessions. Each session comprised several hundred trials, during which visual stimuli were randomly presented to the mouse on two screens positioned on both sides of it. The stimuli varied in terms of contrast levels, which took values in {0, 0.25, 0.5, 1}, with 0 indicating the absence of a stimulus. The mice were required to make decisions based on the visual stimuli, using a wheel controlled by their forepaws. A reward or penalty (i.e., feedback) was subsequently administered based on the outcome of their decisions. In particular,
- When left contrast > right contrast, success (1) if turning the
wheel to the right and failure (-1) otherwise.
- When right contrast > left contrast, success (1) if turning the
wheel to the left and failure (-1) otherwise.
- When both left and right contrasts are zero, success (1) if holding the wheel still and failure (-1) otherwise.
- When left and right contrasts are equal but non-zero, left or right will be randomly chosen (50%) as the correct choice.
The activity of the neurons in the mice’s visual cortex was recorded during the trials and made available in the form of spike trains, which are collections of timestamps corresponding to neuron firing. In this project, we focus specifically on the spike trains of neurons from the onset of the stimuli to 0.4 seconds post-onset. In addition, we only use 18 sessions (Sessions 1 to 18) from four mice: Cori, Frossman, Hence, and Lederberg.
Data structure
A total of 18 RDS files are provided that contain the records from 18
sessions. In each RDS file, you can find the name of mouse from
mouse_name and date of the experiment from
date_exp.
Five variables are available for each trial, namely
feedback_type: type of the feedback, 1 for success and -1 for failurecontrast_left: contrast of the left stimuluscontrast_right: contrast of the right stimulustime: centers of the time bins forspks
spks: numbers of spikes of neurons in the visual cortex in time bins defined intimebrain_area: area of the brain where each neuron lives
Take the 11th trial in Session 5 for example, we can see that the
left contrast for this trial is 1 the right contrast is 0, and the
feedback (i.e., outcome) of the trial is 1. There are a total of 1077
neurons in this trial from 10 areas of the brain. The spike trains of
these neurons are stored in session[[5]]$spks[[11]] which
is a 1077 by 40 matrix with each entry being the number of spikes of one
neuron (i.e., row) in each time bin (i.e., column).
#dim(session[[5]]$spks[[11]])[1]
#dim(session[[5]]$spks[[11]])[2]Question of interest
The primary objective of this project is to build a predictive model
to predict the outcome (i.e., feedback type) of each trial using the
neural activity data (i.e., spike trains in spks), along
with the stimuli (the left and right contrasts). Given the complexity of
the data (and that this is a course project), we break the predictive
modeling into three parts as follows.
#outcome = feedback type
#input: spks, left and right contrastPart 1. Exploratory data analysis. In this part, we will explore the features of the data sets in order to build our prediction model. In particular, we would like to (i) describe the data structures across sessions (e.g., number of neurons, number of trials, stimuli conditions, feedback types), (ii) explore the neural activities during each trial, (iii) explore the changes across trials, and (iv) explore homogeneity and heterogeneity across sessions and mice.
#Understanding the dataset This dataset contains 18 sessions. Each session contains within it the data of several variables: mouse name, date of experiment, left contrast, right contrast, feedback type, brain area, spikes, and time.
The left contrast, right contrast, feedback type, time, and spikes variables have the same length. This indicates that for a given contrast combination, the feedback type and the neural spike activity vs time was recorded.
Looking closer at the spike data, each contrast combination resulted in the spike activity being documented over the number of neurons analyzed and over time. The number of neurons matches the length of the brain area data, as each neuron is classified by its brain area.
#Number of neurons across sessions
summarydata <- data.frame(session=c(1:18), trials=c(1:18), neuronnumber=c(1:18), feedbacknumber=c(1:18))
for(i in 1:18) {
summarydata$trials[i] <- length(session[[i]]$spks)
summarydata$feedbacknumber[i] <- length(session[[i]]$feedback_type)
summarydata$neuronnumber[i] <- length(session[[i]]$brain_area)
}
summarydata## session trials neuronnumber feedbacknumber
## 1 1 114 734 114
## 2 2 251 1070 251
## 3 3 228 619 228
## 4 4 249 1769 249
## 5 5 254 1077 254
## 6 6 290 1169 290
## 7 7 252 584 252
## 8 8 250 1157 250
## 9 9 372 788 372
## 10 10 447 1172 447
## 11 11 342 857 342
## 12 12 340 698 340
## 13 13 300 983 300
## 14 14 268 756 268
## 15 15 404 743 404
## 16 16 280 474 280
## 17 17 224 565 224
## 18 18 216 1090 216#This code summarizes the basic facts about each session’s data into a dataframe. This was taken from the class code to initally summarize data to identify what trends and relationships between variables to look into more closely.
n.session=length(session)
# in library tidyverse
meta <- tibble(
session_num = c(1:18),
mouse_name = rep('name',n.session),
date_exp =rep('dt',n.session),
n_brain_area = rep(0,n.session),
n_neurons = rep(0,n.session),
n_trials = rep(0,n.session),
success_rate = rep(0,n.session)
)
for(i in 1:n.session){
tmp = session[[i]];
meta[i,2]=tmp$mouse_name;
meta[i,3]=tmp$date_exp;
meta[i,4]=length(unique(tmp$brain_area));
meta[i,5]=dim(tmp$spks[[1]])[1];
meta[i,6]=length(tmp$feedback_type);
meta[i,7]=mean(tmp$feedback_type+1)/2;
}
meta## # A tibble: 18 × 7
## session_num mouse_name date_exp n_brain_area n_neurons n_trials success_rate
## <int> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 1 Cori 2016-12-… 8 734 114 0.605
## 2 2 Cori 2016-12-… 5 1070 251 0.633
## 3 3 Cori 2016-12-… 11 619 228 0.662
## 4 4 Forssmann 2017-11-… 11 1769 249 0.667
## 5 5 Forssmann 2017-11-… 10 1077 254 0.661
## 6 6 Forssmann 2017-11-… 5 1169 290 0.741
## 7 7 Forssmann 2017-11-… 8 584 252 0.671
## 8 8 Hench 2017-06-… 15 1157 250 0.644
## 9 9 Hench 2017-06-… 12 788 372 0.685
## 10 10 Hench 2017-06-… 13 1172 447 0.620
## 11 11 Hench 2017-06-… 6 857 342 0.795
## 12 12 Lederberg 2017-12-… 12 698 340 0.738
## 13 13 Lederberg 2017-12-… 15 983 300 0.797
## 14 14 Lederberg 2017-12-… 10 756 268 0.694
## 15 15 Lederberg 2017-12-… 8 743 404 0.765
## 16 16 Lederberg 2017-12-… 6 474 280 0.718
## 17 17 Lederberg 2017-12-… 6 565 224 0.830
## 18 18 Lederberg 2017-12-… 10 1090 216 0.806ggplot(meta, mapping=aes(x=session_num, y=success_rate, color=mouse_name)) + geom_col()
#kable(meta, format = "html", table.attr = "class='table table-striped'",digits=2) # Calculate mean and standard deviation for each mouse
mouse_stats <- aggregate(success_rate ~ mouse_name, data = meta,
FUN = function(x) c(mean = mean(x), sd = sd(x)))
mouse_stats <- do.call(data.frame, mouse_stats)
# Create a bar plot with error bars
ggplot(mouse_stats, aes(x = mouse_name, y = success_rate.mean, fill = mouse_name)) +
geom_bar(stat = "identity") +
geom_errorbar(aes(ymin = success_rate.mean - success_rate.sd,
ymax = success_rate.mean + success_rate.sd),
width = 0.2) +
labs(title = "Average Success Rate by Mouse with Standard Deviation",
x = "Mouse Name",
y = "Average Success Rate") +
theme_minimal() +
theme(legend.position = "none")
We see that the average success rate in this experiment differs by mouse. Lederberg has the highest average success and Cori has the lowest average success. However, it is important to note that the sessions are not equally distributed by mouse. Cori only has 3 sessions worth of data, while Lederberg has 7 sessions worth of data.
Is there a correlation between brain area types and success rate?
ggplot(meta, mapping=aes(x=n_brain_area, y=success_rate, color=mouse_name)) + geom_point() + geom_line() + geom_smooth(method = "lm", se = FALSE, linetype = "dashed") + ggtitle("Number of brain areas vs Success Rate per Mouse over 18 sessions")## `geom_smooth()` using formula = 'y ~ x'
There seems to be a complex relationship between the number of brain
areas whose neurons fire during this experiment and the success rate. I
hypothesized that there might be a trend where an increased of brain
areas fired may lead to higher success response rates. However, each
mouse seems to demonstrate their own trend for the relationship between
the variables of n_brain_area and success_rate.
Cori seems to have a slight positive linear trend, mice Forssmann and Hench seem to have a negative linear trend, and mouse Lederberg seems to have essentially no trend.
ggplot(meta, mapping=aes(x=n_brain_area, y=n_neurons, color=mouse_name)) + geom_point() + geom_line(linetype="dotted") + geom_smooth(method = "lm", se = FALSE) + ggtitle("Number of brain areas vs Number of Neurons per Mouse over 18 sessions")## `geom_smooth()` using formula = 'y ~ x'
This graph demonstrates data towards the hypothesis that an increased number of brain areas involved resulted in a larger number of neurons being fired. However, the data suggests that there isn’t a consistent trend between these two variables. In three out of the four mice, there is a general positive trend, where greater number of brain areas yield larger numbers of fired neurons. However in mouse Cori, we see the opposite trend.
This graph also demonstrates that different sessions of the same mouse have different numbers of brain areas and neurons fired. This is an interesting finding, as one would assume that the same replicated experiment would fire the same number of neurons and the same brain areas would be activated in the same mouse.
One next question to ask would be to understand how contrast pairs yield to successes or failures.
ggplot(meta, mapping=aes(x=session_num, y=n_brain_area, color=mouse_name)) + geom_col() +ggtitle("Session Number vs Number of Brain Areas by Mouse")
This bar graph demonstrates in a different way that each session fired a
different number of brain areas. Even sessions within the same mouse
were not consistent in the number of brain areas fired.
session[[1]]$spks[1]## [[1]]
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
## [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [2,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [3,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [4,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [5,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [6,] 0 0 1 0 0 0 1 0 0 0 0 0 0
## [7,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [8,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [9,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [10,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [11,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [12,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [13,] 0 1 0 1 0 0 0 0 0 0 0 0 0
## [14,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [15,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [16,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [17,] 0 0 0 0 0 0 1 0 0 0 0 0 0
## [18,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [19,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [20,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [21,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [22,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [23,] 0 0 0 0 0 0 0 0 0 0 0 1 0
## [24,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [25,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [26,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [27,] 0 0 1 0 1 1 0 0 0 0 0 0 0
## [28,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [29,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [30,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [31,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [32,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [33,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [34,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [35,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [36,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [37,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [38,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [39,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [40,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [41,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [42,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [43,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [44,] 0 0 0 0 0 0 0 0 0 1 1 0 0
## [45,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [46,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [47,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [48,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [49,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [50,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [51,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [52,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [53,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [54,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [55,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [56,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [57,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [58,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [59,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [60,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [61,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [62,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [63,] 1 0 0 0 0 0 1 0 0 0 0 0 0
## [64,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [65,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [66,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [67,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [68,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [69,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [70,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [71,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [72,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [73,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [74,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [75,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [76,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [77,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [78,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [79,] 0 0 1 0 0 0 0 0 0 1 1 0 0
## [80,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [81,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [82,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [83,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [84,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [85,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [86,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [87,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [88,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [89,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [90,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [91,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [92,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [93,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [94,] 0 0 0 0 1 0 0 0 0 0 0 0 0
## [95,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [96,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [97,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [98,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [99,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [100,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [101,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [102,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [103,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [104,] 1 0 0 0 0 1 0 0 0 0 0 0 0
## [105,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [106,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [107,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [108,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [109,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [110,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [111,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [112,] 0 0 0 0 0 0 1 0 0 0 0 0 0
## [113,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [114,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [115,] 0 0 0 0 0 0 0 1 0 0 1 0 0
## [116,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [117,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [118,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [119,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [120,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [121,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [122,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [123,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [124,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [125,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [126,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [127,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [128,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [129,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [130,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [131,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [132,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [133,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [134,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [135,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [136,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [137,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [138,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [139,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [140,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [141,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [142,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [143,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [144,] 0 0 0 0 0 0 0 1 1 0 0 0 0
## [145,] 0 0 0 0 0 0 0 0 0 0 1 1 0
## [146,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [147,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [148,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [149,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [150,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [151,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [152,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [153,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [154,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [155,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [156,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [157,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [158,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [159,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [160,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [161,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [162,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [163,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [164,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [165,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [166,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [167,] 0 0 0 0 0 0 0 0 1 1 0 0 0
## [168,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [169,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [170,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [171,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [172,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [173,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [174,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [175,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [176,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [177,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [178,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [179,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [180,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [181,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [182,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [183,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [184,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [185,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [186,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [187,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [188,] 0 0 0 0 0 0 0 0 0 1 0 0 0
## [189,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [190,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [191,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [192,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [193,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [194,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [195,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [196,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [197,] 0 0 0 0 0 0 0 1 0 0 0 0 0
## [198,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [199,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [200,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [201,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [202,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [203,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [204,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [205,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [206,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [207,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [208,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [209,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [210,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [211,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [212,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [213,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [214,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [215,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [216,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [217,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [218,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [219,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [220,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [221,] 1 0 0 0 1 0 0 0 0 0 0 1 0
## [222,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [223,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [224,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [225,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [226,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [227,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [228,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [229,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [230,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [231,] 0 1 1 0 0 0 0 0 0 0 0 0 0
## [232,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [233,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [234,] 0 1 0 0 0 0 0 0 0 0 0 0 1
## [235,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [236,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [237,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [238,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [239,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [240,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [241,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [242,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [243,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [244,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [245,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [246,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [247,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [248,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [249,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [250,] 0 1 0 0 1 0 1 0 0 0 0 0 0
## [251,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [252,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [253,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [254,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [255,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [256,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [257,] 0 0 0 0 0 0 0 0 0 0 0 1 0
## [258,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [259,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [260,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [261,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [262,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [263,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [264,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [265,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [266,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [267,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [268,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [269,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [270,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [271,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [272,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [273,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [274,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [275,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [276,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [277,] 1 0 0 0 0 1 0 0 1 0 0 0 1
## [278,] 0 0 0 0 0 0 0 0 0 0 0 1 1
## [279,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [280,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [281,] 1 0 0 0 0 1 0 0 1 0 0 0 0
## [282,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [283,] 0 1 0 1 1 1 0 0 1 0 0 0 1
## [284,] 0 0 0 1 0 0 1 0 0 0 0 0 0
## [285,] 1 0 0 0 0 1 0 0 0 1 0 0 0
## [286,] 0 0 0 0 1 0 0 0 0 0 0 0 0
## [287,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [288,] 1 0 0 0 0 0 0 0 0 0 0 1 0
## [289,] 0 0 0 0 0 0 0 0 0 1 0 1 0
## [290,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [291,] 0 0 0 0 0 0 1 0 0 0 1 0 0
## [292,] 0 0 0 0 0 0 0 1 0 0 0 0 0
## [293,] 0 0 0 0 0 0 0 0 0 1 0 0 0
## [294,] 0 0 1 0 0 0 0 0 0 0 0 0 0
## [295,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [296,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [297,] 0 0 0 0 0 0 0 0 0 0 3 0 0
## [298,] 1 0 0 0 0 0 0 0 1 0 0 1 0
## [299,] 1 0 0 0 0 0 1 0 0 0 1 0 0
## [300,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [301,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [302,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [303,] 0 1 0 0 0 1 0 0 0 0 1 0 0
## [304,] 1 0 0 0 1 0 0 0 0 0 0 0 0
## [305,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [306,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [307,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [308,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [309,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [310,] 0 0 0 0 1 0 0 0 1 0 0 1 1
## [311,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [312,] 1 0 0 0 0 1 0 0 1 0 0 0 0
## [313,] 0 0 0 0 0 0 0 0 1 0 1 0 0
## [314,] 0 0 0 0 0 0 0 0 1 0 1 1 0
## [315,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [316,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [317,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [318,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [319,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [320,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [321,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [322,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [323,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [324,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [325,] 0 0 0 0 0 0 0 0 1 0 1 0 1
## [326,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [327,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [328,] 0 0 0 1 0 0 0 0 0 0 0 0 1
## [329,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [330,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [331,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [332,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [333,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [334,] 0 0 0 0 0 0 1 0 1 0 0 0 0
## [335,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [336,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [337,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [338,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [339,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [340,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [341,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [342,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [343,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [344,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [345,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [346,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [347,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [348,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [349,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [350,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [351,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [352,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [353,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [354,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [355,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [356,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [357,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [358,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [359,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [360,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [361,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [362,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [363,] 1 0 0 0 0 0 0 0 0 0 1 0 0
## [364,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [365,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [366,] 0 0 0 1 0 1 0 0 0 0 0 1 0
## [367,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [368,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [369,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [370,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [371,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [372,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [373,] 0 1 0 0 0 1 1 0 0 0 0 1 0
## [374,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [375,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [376,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [377,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [378,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [379,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [380,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [381,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [382,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [383,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [384,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [385,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [386,] 0 0 1 0 0 0 0 0 0 0 0 0 0
## [387,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [388,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [389,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [390,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [391,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [392,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [393,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [394,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [395,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [396,] 0 0 0 1 0 0 0 0 0 0 0 0 0
## [397,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [398,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [399,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [400,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [401,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [402,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [403,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [404,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [405,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [406,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [407,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [408,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [409,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [410,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [411,] 0 1 0 0 0 0 0 0 0 0 0 0 1
## [412,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [413,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [414,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [415,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [416,] 0 0 0 0 0 0 1 0 0 0 0 0 0
## [417,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [418,] 1 0 0 0 1 0 0 0 0 0 0 0 0
## [419,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [420,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [421,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [422,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [423,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [424,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [425,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [426,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [427,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [428,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [429,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [430,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [431,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [432,] 0 0 0 0 0 0 0 0 1 0 0 0 1
## [433,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [434,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [435,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [436,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [437,] 0 1 0 0 0 1 0 0 0 0 0 0 0
## [438,] 0 0 0 0 0 0 0 1 0 0 0 0 0
## [439,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [440,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [441,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [442,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [443,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [444,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [445,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [446,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [447,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [448,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [449,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [450,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [451,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [452,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [453,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [454,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [455,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [456,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [457,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [458,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [459,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [460,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [461,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [462,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [463,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [464,] 0 0 0 1 1 0 1 0 0 0 0 0 0
## [465,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [466,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [467,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [468,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [469,] 0 0 0 0 2 0 0 0 0 0 0 0 0
## [470,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [471,] 0 0 0 0 0 0 0 0 0 1 0 0 0
## [472,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [473,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [474,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [475,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [476,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [477,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [478,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [479,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [480,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [481,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [482,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [483,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [484,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [485,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [486,] 0 0 0 0 0 0 1 0 1 0 0 0 0
## [487,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [488,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [489,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [490,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [491,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [492,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [493,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [494,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [495,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [496,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [497,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [498,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [499,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [500,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [501,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [502,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [503,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [504,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [505,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [506,] 0 0 1 0 0 0 0 0 0 0 0 0 0
## [507,] 0 0 0 0 0 0 0 0 0 1 0 0 0
## [508,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [509,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [510,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [511,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [512,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [513,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [514,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [515,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [516,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [517,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [518,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [519,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [520,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [521,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [522,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [523,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [524,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [525,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [526,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [527,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [528,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [529,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [530,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [531,] 1 1 0 0 0 0 0 0 0 0 0 0 0
## [532,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [533,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [534,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [535,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [536,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [537,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [538,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [539,] 0 0 0 0 0 1 0 0 0 0 0 0 1
## [540,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [541,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [542,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [543,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [544,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [545,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [546,] 0 0 0 1 0 0 0 0 0 0 0 0 0
## [547,] 2 1 1 0 0 0 1 0 0 0 0 0 0
## [548,] 1 0 0 0 0 0 1 0 0 0 0 0 0
## [549,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [550,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [551,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [552,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [553,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [554,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [555,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [556,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [557,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [558,] 0 0 0 0 0 0 0 1 0 0 0 0 0
## [559,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [560,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [561,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [562,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [563,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [564,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [565,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [566,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [567,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [568,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [569,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [570,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [571,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [572,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [573,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [574,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [575,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [576,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [577,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [578,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [579,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [580,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [581,] 0 0 0 1 0 0 0 0 0 0 0 0 0
## [582,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [583,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [584,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [585,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [586,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [587,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [588,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [589,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [590,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [591,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [592,] 0 0 0 0 1 0 0 0 0 0 0 0 0
## [593,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [594,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [595,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [596,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [597,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [598,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [599,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [600,] 0 1 0 0 0 0 0 0 1 0 0 0 0
## [601,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [602,] 0 0 0 0 0 0 0 0 1 0 0 0 0
## [603,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [604,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [605,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [606,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [607,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [608,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [609,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [610,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [611,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [612,] 0 0 0 0 0 0 1 0 0 0 0 0 0
## [613,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [614,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [615,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [616,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [617,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [618,] 0 0 0 0 0 1 0 0 0 0 0 1 0
## [619,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [620,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [621,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [622,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [623,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [624,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [625,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [626,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [627,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [628,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [629,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [630,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [631,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [632,] 0 0 0 0 0 1 0 0 0 0 0 0 0
## [633,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [634,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [635,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [636,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [637,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [638,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [639,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [640,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [641,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [642,] 0 0 0 0 1 0 0 0 0 0 0 0 0
## [643,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [644,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [645,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [646,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [647,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [648,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [649,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [650,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [651,] 0 0 0 0 1 0 0 0 0 0 1 0 0
## [652,] 1 0 1 0 0 0 0 0 0 0 0 0 0
## [653,] 0 0 0 0 1 0 0 0 0 0 1 0 0
## [654,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [655,] 0 0 0 0 1 0 0 0 1 1 0 0 0
## [656,] 1 0 0 0 0 0 1 0 0 0 0 0 0
## [657,] 2 1 0 0 2 1 0 0 0 1 1 0 1
## [658,] 0 1 1 0 0 0 0 0 0 0 0 0 0
## [659,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [660,] 0 0 0 0 0 0 0 0 0 0 1 0 0
## [661,] 0 0 0 0 1 0 0 0 0 0 1 0 0
## [662,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [663,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [664,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [665,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [666,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [667,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [668,] 0 0 0 0 0 0 0 0 0 0 0 1 0
## [669,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [670,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [671,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [672,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [673,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [674,] 0 0 0 0 0 0 0 0 0 1 0 0 0
## [675,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [676,] 0 0 0 1 0 0 0 0 0 0 0 1 0
## [677,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [678,] 1 1 1 0 1 0 0 1 0 0 0 0 1
## [679,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [680,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [681,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [682,] 0 0 1 0 0 0 1 0 0 0 0 0 0
## [683,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [684,] 1 0 0 1 0 0 0 0 0 0 0 0 0
## [685,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [686,] 0 0 0 0 0 0 2 0 0 0 2 0 1
## [687,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [688,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [689,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [690,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [691,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [692,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [693,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [694,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [695,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [696,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [697,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [698,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [699,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [700,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [701,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [702,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [703,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [704,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [705,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [706,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [707,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [708,] 0 0 0 0 0 0 1 0 0 0 0 0 0
## [709,] 0 0 0 0 0 0 0 0 1 1 0 0 0
## [710,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [711,] 2 0 1 0 1 0 1 1 0 0 1 0 1
## [712,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [713,] 0 0 0 0 0 0 0 0 0 0 0 0 1
## [714,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [715,] 0 0 0 0 1 0 0 0 0 0 0 0 0
## [716,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [717,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [718,] 0 0 0 0 0 0 0 0 0 0 1 0 1
## [719,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [720,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [721,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [722,] 0 1 0 0 0 0 0 0 0 0 0 0 0
## [723,] 0 0 0 0 0 0 1 1 2 0 0 0 1
## [724,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [725,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [726,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [727,] 1 0 0 0 0 0 0 0 0 0 0 0 0
## [728,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [729,] 0 0 0 0 1 0 0 0 0 1 0 0 0
## [730,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [731,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [732,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [733,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [734,] 0 0 0 0 0 0 0 0 0 0 0 0 0
## [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25]
## [1,] 0 0 0 0 0 0 0 0 0 0 0 0
## [2,] 0 0 0 0 0 0 0 0 0 0 0 0
## [3,] 0 0 0 0 0 0 0 0 0 0 0 0
## [4,] 0 0 0 0 0 0 0 0 0 0 0 0
## [5,] 0 0 0 0 0 0 0 0 0 0 0 0
## [6,] 0 0 0 0 0 0 0 0 0 1 0 0
## [7,] 0 0 0 0 0 0 0 0 0 0 0 0
## [8,] 0 0 0 0 0 0 0 0 0 0 0 0
## [9,] 0 0 0 0 0 0 0 0 0 0 0 0
## [10,] 0 0 0 0 0 0 0 0 0 0 0 0
## [11,] 0 0 0 0 0 0 0 0 0 0 0 0
## [12,] 0 0 1 0 0 1 0 0 0 0 0 0
## [13,] 0 0 0 0 0 0 0 1 1 0 0 0
## [14,] 0 0 0 0 0 0 0 0 0 0 0 0
## [15,] 0 0 0 0 0 0 0 0 0 0 0 0
## [16,] 0 0 0 0 0 0 0 0 0 0 0 0
## [17,] 0 0 0 0 0 0 0 0 0 0 0 0
## [18,] 0 0 0 0 0 0 0 0 0 0 0 0
## [19,] 0 0 0 0 0 0 0 0 0 0 0 0
## [20,] 0 0 0 0 0 0 0 0 0 0 0 0
## [21,] 0 0 0 0 0 0 0 0 0 0 0 0
## [22,] 0 0 0 0 0 0 0 0 0 0 0 0
## [23,] 1 1 0 0 0 0 0 1 0 0 0 3
## [24,] 0 0 0 0 0 0 0 0 0 0 0 0
## [25,] 0 0 0 0 0 0 0 0 0 0 0 0
## [26,] 0 0 0 0 0 0 0 0 0 0 0 0
## [27,] 0 0 0 0 0 0 0 0 0 0 1 0
## [28,] 0 0 0 0 0 0 0 0 0 0 0 0
## [29,] 0 0 0 0 0 0 0 0 0 0 0 0
## [30,] 0 0 0 0 0 0 0 0 0 0 0 0
## [31,] 0 0 0 0 0 0 0 0 0 0 0 0
## [32,] 0 0 0 0 0 0 0 0 0 0 0 0
## [33,] 0 0 0 0 0 0 0 0 0 0 0 0
## [34,] 0 0 0 0 0 0 0 1 0 0 0 0
## [35,] 0 0 0 0 0 0 0 0 0 0 0 0
## [36,] 0 0 0 0 0 0 0 0 0 0 0 0
## [37,] 0 0 1 0 0 0 0 0 0 0 0 0
## [38,] 0 0 0 0 0 0 0 0 0 0 0 0
## [39,] 0 0 0 0 0 0 0 0 0 0 0 0
## [40,] 0 0 0 0 0 0 0 0 0 0 0 0
## [41,] 0 0 0 0 0 0 0 0 0 0 0 0
## [42,] 0 0 0 0 0 0 0 0 0 0 0 0
## [43,] 0 0 0 0 0 0 0 0 0 0 0 0
## [44,] 0 0 0 0 0 0 0 0 0 0 0 0
## [45,] 1 0 0 0 0 0 0 1 0 0 0 0
## [46,] 0 0 0 0 0 0 0 0 0 0 0 0
## [47,] 0 0 0 0 0 0 0 0 0 0 0 0
## [48,] 0 0 0 0 0 0 0 0 0 0 0 0
## [49,] 0 0 0 0 0 0 0 0 0 0 0 0
## [50,] 0 0 0 0 0 0 0 0 0 0 0 0
## [51,] 0 0 0 0 0 0 0 0 0 0 0 0
## [52,] 0 0 0 0 0 0 0 0 0 0 0 0
## [53,] 0 0 0 0 0 0 0 0 0 0 0 0
## [54,] 0 0 0 0 0 0 0 0 0 0 0 0
## [55,] 0 0 0 0 0 0 0 0 0 0 0 0
## [56,] 0 0 0 0 0 0 0 0 0 0 0 0
## [57,] 0 0 0 0 0 0 0 0 0 0 0 0
## [58,] 0 0 0 0 0 0 0 0 1 1 0 0
## [59,] 0 0 0 0 0 0 0 0 0 0 0 0
## [60,] 0 0 0 0 0 0 0 0 0 0 0 0
## [61,] 0 0 0 0 0 0 0 0 0 0 0 0
## [62,] 0 0 0 0 0 0 0 0 0 0 0 0
## [63,] 0 0 0 0 0 0 0 0 0 0 0 0
## [64,] 0 0 0 0 0 0 0 0 0 0 0 0
## [65,] 0 0 0 0 0 0 0 0 0 0 0 0
## [66,] 0 0 0 0 0 0 0 0 0 0 0 0
## [67,] 0 1 0 0 0 0 0 0 0 0 0 0
## [68,] 0 0 0 0 0 0 0 0 0 0 0 0
## [69,] 0 0 0 0 0 0 0 0 0 0 0 0
## [70,] 0 0 0 0 0 0 0 0 0 0 0 0
## [71,] 0 0 0 0 0 0 0 0 0 0 0 0
## [72,] 0 0 0 0 0 0 0 0 0 0 0 0
## [73,] 0 0 0 0 0 0 0 0 0 0 0 0
## [74,] 0 0 0 0 0 0 0 0 0 0 0 0
## [75,] 0 0 0 0 0 1 0 0 0 0 1 0
## [76,] 0 0 0 0 0 0 0 0 0 0 0 0
## [77,] 0 0 0 0 0 0 0 0 0 0 0 0
## [78,] 0 0 0 0 0 0 0 0 0 0 0 0
## [79,] 0 1 0 0 0 0 0 0 0 0 0 0
## [80,] 0 0 0 0 0 0 0 0 0 0 0 0
## [81,] 0 0 0 0 0 0 0 0 0 0 0 0
## [82,] 0 0 0 0 0 0 0 0 0 0 0 0
## [83,] 0 0 0 0 0 0 0 0 0 0 0 0
## [84,] 0 0 0 1 0 1 0 0 0 0 1 0
## [85,] 0 0 0 0 0 0 0 0 0 0 0 0
## [86,] 0 0 0 0 0 0 0 0 0 0 0 0
## [87,] 0 0 0 0 0 0 0 0 1 0 0 0
## [88,] 0 0 0 0 0 0 0 0 0 0 0 0
## [89,] 0 0 0 0 0 0 0 0 0 0 0 0
## [90,] 0 0 0 0 0 0 0 0 0 0 0 0
## [91,] 0 0 0 0 0 0 0 0 0 0 0 0
## [92,] 0 0 0 0 0 0 0 0 0 0 0 0
## [93,] 0 0 0 0 0 0 0 0 0 0 0 0
## [94,] 0 0 0 1 0 0 0 0 1 0 0 0
## [95,] 0 0 0 0 0 0 0 0 0 0 0 0
## [96,] 0 0 0 0 0 0 0 0 0 0 0 0
## [97,] 1 0 0 0 0 0 0 0 0 0 0 0
## [98,] 0 0 0 0 0 0 0 0 0 0 0 0
## [99,] 0 0 0 0 0 0 0 0 0 0 0 0
## [100,] 0 0 0 0 0 0 0 0 0 0 0 0
## [101,] 0 0 0 0 0 0 0 0 0 0 0 0
## [102,] 0 0 0 0 0 0 0 0 0 0 0 0
## [103,] 0 0 0 0 0 0 0 0 0 0 0 0
## [104,] 0 0 0 0 0 0 0 0 0 0 0 0
## [105,] 0 0 0 0 0 0 0 0 0 1 0 0
## [106,] 0 0 0 0 0 0 0 0 0 0 0 0
## [107,] 0 0 0 0 0 0 0 0 0 0 0 0
## [108,] 0 0 0 0 0 0 0 0 0 0 0 0
## [109,] 0 0 0 0 0 0 0 0 0 0 0 0
## [110,] 0 0 0 0 0 0 0 0 0 0 0 0
## [111,] 0 0 0 0 0 0 0 0 0 0 0 0
## [112,] 0 0 0 0 0 0 0 0 0 0 0 0
## [113,] 0 0 0 0 0 0 0 0 0 0 0 0
## [114,] 0 0 0 0 0 0 0 0 0 0 0 0
## [115,] 0 0 0 0 0 0 0 0 1 0 0 0
## [116,] 0 0 0 0 0 0 0 0 0 0 0 0
## [117,] 0 0 0 0 0 0 0 0 0 0 0 0
## [118,] 0 0 0 0 0 0 0 0 0 0 0 0
## [119,] 0 0 0 0 0 0 0 0 0 0 0 0
## [120,] 1 0 0 0 0 0 0 0 0 0 0 0
## [121,] 0 0 0 0 0 0 0 0 0 0 0 0
## [122,] 0 0 0 0 0 0 0 0 0 0 0 0
## [123,] 0 0 0 0 0 0 0 0 0 0 0 0
## [124,] 0 0 0 0 0 0 0 0 0 0 0 0
## [125,] 0 0 0 0 0 0 0 0 0 0 0 0
## [126,] 0 0 0 0 0 0 0 0 0 0 0 0
## [127,] 0 0 0 0 0 0 0 0 0 0 0 0
## [128,] 0 0 0 0 0 0 0 0 0 0 0 0
## [129,] 0 0 0 0 0 0 0 0 0 0 0 0
## [130,] 0 0 0 0 0 0 0 0 0 0 0 0
## [131,] 0 0 0 0 0 0 0 0 0 0 0 0
## [132,] 0 0 0 0 0 0 0 0 0 0 0 0
## [133,] 0 0 0 0 0 0 0 0 0 0 0 0
## [134,] 0 0 0 0 0 0 0 0 0 0 0 0
## [135,] 1 0 0 0 0 0 0 0 0 0 0 0
## [136,] 0 0 0 0 0 0 0 0 0 0 0 0
## [137,] 0 0 0 0 0 0 0 0 0 0 0 0
## [138,] 0 1 0 0 0 0 0 0 0 0 0 0
## [139,] 0 0 0 0 0 0 0 0 0 0 0 0
## [140,] 0 0 0 0 0 0 0 0 0 0 0 0
## [141,] 0 0 0 0 0 0 0 0 0 0 0 0
## [142,] 0 0 0 0 0 0 0 0 0 0 0 0
## [143,] 0 0 0 0 0 0 0 0 0 0 0 0
## [144,] 0 1 0 0 1 0 0 1 0 0 0 0
## [145,] 0 0 0 0 0 1 0 0 0 0 0 0
## [146,] 0 0 0 0 0 0 0 0 0 0 0 0
## [147,] 0 0 0 0 0 0 0 0 0 0 0 0
## [148,] 0 0 0 0 0 0 0 0 0 0 0 0
## [149,] 0 0 0 0 0 0 0 0 0 0 0 0
## [150,] 0 0 1 0 0 0 0 0 0 0 0 0
## [151,] 0 0 1 0 0 0 1 0 0 0 0 0
## [152,] 0 0 0 0 0 0 0 0 0 0 0 0
## [153,] 0 0 0 0 0 0 0 0 0 0 0 0
## [154,] 0 0 0 1 0 0 0 0 0 0 0 0
## [155,] 0 0 0 0 0 0 0 0 0 0 0 0
## [156,] 0 0 0 0 0 0 0 0 0 0 0 0
## [157,] 0 0 0 0 0 0 0 0 0 0 0 0
## [158,] 0 0 0 0 0 0 0 0 0 0 0 0
## [159,] 1 1 1 1 0 0 0 0 0 0 1 0
## [160,] 0 0 0 0 0 1 0 0 0 0 1 0
## [161,] 0 0 0 0 0 0 0 0 0 0 0 0
## [162,] 0 0 0 0 0 0 0 0 0 0 0 0
## [163,] 0 0 0 0 0 0 0 0 0 0 0 0
## [164,] 0 0 0 0 0 0 0 0 0 0 0 0
## [165,] 0 0 0 0 0 0 0 0 0 0 0 0
## [166,] 0 0 0 0 0 0 0 0 0 0 1 0
## [167,] 0 0 0 0 0 0 0 0 0 0 0 0
## [168,] 0 0 0 0 0 0 0 0 0 0 0 0
## [169,] 0 0 0 0 0 0 0 0 0 0 1 0
## [170,] 0 0 0 0 0 0 0 1 0 0 0 0
## [171,] 0 0 1 0 0 0 0 0 0 0 0 0
## [172,] 0 0 1 0 0 0 0 1 0 0 0 0
## [173,] 0 0 0 0 0 0 0 0 0 0 0 0
## [174,] 0 0 0 0 0 0 0 0 0 1 0 1
## [175,] 0 0 0 0 0 0 0 0 0 0 0 0
## [176,] 0 0 0 0 0 0 0 0 1 0 0 0
## [177,] 0 0 0 0 0 0 0 0 0 0 0 0
## [178,] 0 0 0 0 0 0 0 0 0 0 0 0
## [179,] 0 0 0 0 0 0 0 0 0 0 0 0
## [180,] 0 0 0 0 0 0 0 0 0 0 0 0
## [181,] 0 0 0 0 0 0 0 0 0 0 0 0
## [182,] 0 0 0 0 0 0 0 0 0 0 0 0
## [183,] 0 0 0 0 0 0 0 0 0 0 0 0
## [184,] 0 0 0 0 0 0 0 0 0 0 0 0
## [185,] 0 1 0 0 0 0 0 0 0 0 0 0
## [186,] 0 0 0 0 0 0 0 0 0 0 1 0
## [187,] 0 0 0 0 0 0 0 0 0 0 0 0
## [188,] 0 0 0 0 0 0 0 0 0 0 0 0
## [189,] 0 0 0 0 0 0 0 0 0 0 0 0
## [190,] 0 0 0 0 0 0 0 0 0 0 0 0
## [191,] 0 0 0 0 0 0 0 0 0 0 0 0
## [192,] 0 0 0 0 0 0 0 0 0 0 0 0
## [193,] 0 0 0 0 0 0 0 0 0 0 0 0
## [194,] 0 0 0 0 0 0 0 0 0 0 0 0
## [195,] 0 0 0 0 0 0 0 0 0 0 0 0
## [196,] 0 0 0 0 0 0 0 0 0 0 0 0
## [197,] 1 1 0 0 0 0 0 0 0 0 0 0
## [198,] 0 0 0 1 0 0 0 0 0 0 0 0
## [199,] 0 0 0 0 0 0 0 1 0 0 0 0
## [200,] 1 1 0 0 0 0 1 0 0 0 0 0
## [201,] 0 0 0 0 0 0 0 0 0 0 0 0
## [202,] 0 0 0 0 0 0 0 0 0 0 0 0
## [203,] 0 0 0 0 0 0 0 0 0 0 0 0
## [204,] 0 0 1 0 0 0 0 0 0 0 0 0
## [205,] 0 0 0 0 0 0 0 0 0 0 0 0
## [206,] 0 0 0 0 0 0 0 0 0 0 0 0
## [207,] 0 0 0 0 0 0 0 0 0 0 0 0
## [208,] 0 0 0 0 0 0 0 0 0 0 0 0
## [209,] 0 0 0 0 0 0 0 0 0 0 0 0
## [210,] 0 0 0 0 0 0 0 0 0 0 0 0
## [211,] 0 0 0 0 0 0 0 0 0 0 0 0
## [212,] 0 0 0 0 0 0 0 0 0 0 0 0
## [213,] 0 0 0 0 0 0 0 0 0 0 0 0
## [214,] 0 0 0 0 0 0 0 0 0 0 0 0
## [215,] 0 0 0 0 0 0 0 0 0 0 0 0
## [216,] 0 0 0 0 0 1 0 0 0 0 0 0
## [217,] 0 0 0 0 0 0 0 0 0 0 0 0
## [218,] 0 0 0 0 0 0 0 0 0 0 1 0
## [219,] 0 0 0 0 0 0 0 0 0 0 0 0
## [220,] 0 0 0 0 0 0 0 0 0 0 0 0
## [221,] 0 0 1 0 0 0 0 0 1 0 0 0
## [222,] 0 0 0 0 0 0 0 0 0 0 0 0
## [223,] 0 0 0 1 0 0 0 0 0 1 0 0
## [224,] 0 0 0 0 0 0 0 0 0 0 0 0
## [225,] 0 0 0 0 0 0 0 0 0 0 0 0
## [226,] 0 0 0 0 0 0 0 0 0 0 0 0
## [227,] 0 0 0 0 0 0 0 0 0 0 0 0
## [228,] 0 0 0 0 0 0 0 0 0 0 0 0
## [229,] 0 0 0 0 0 0 0 0 0 0 0 0
## [230,] 0 0 0 0 0 0 0 0 0 0 0 0
## [231,] 0 0 0 0 0 0 1 0 0 1 0 0
## [232,] 0 0 0 0 0 0 0 0 0 0 0 1
## [233,] 0 0 1 0 0 0 0 0 0 0 0 0
## [234,] 0 0 0 0 0 0 0 0 0 0 0 0
## [235,] 0 0 0 0 0 0 0 0 0 0 0 0
## [236,] 0 0 0 0 0 0 0 0 0 0 0 0
## [237,] 0 0 0 0 0 0 0 0 0 0 0 0
## [238,] 0 0 0 0 0 0 0 0 0 0 0 0
## [239,] 0 0 0 0 0 0 0 0 0 0 0 0
## [240,] 0 0 0 1 0 0 0 0 0 0 0 0
## [241,] 0 0 0 0 0 0 0 0 0 0 0 0
## [242,] 0 0 0 0 0 0 0 1 0 0 0 0
## [243,] 0 0 0 0 0 0 0 0 0 0 0 0
## [244,] 0 0 0 0 0 0 0 0 0 0 0 0
## [245,] 0 0 0 0 0 0 0 0 0 0 0 0
## [246,] 0 0 0 0 0 0 0 0 0 0 0 0
## [247,] 0 0 0 0 0 0 0 0 0 0 0 0
## [248,] 0 0 0 0 0 0 0 0 0 0 0 0
## [249,] 0 0 0 0 0 0 0 0 0 0 0 0
## [250,] 0 0 0 0 0 0 1 0 0 0 0 0
## [251,] 0 0 0 0 0 0 0 0 0 0 0 0
## [252,] 0 0 0 0 0 0 0 0 0 0 0 1
## [253,] 0 0 0 0 0 0 0 0 0 0 0 0
## [254,] 0 0 0 0 0 0 0 0 0 0 0 0
## [255,] 0 0 0 0 0 0 0 0 0 0 0 0
## [256,] 0 0 0 0 0 0 0 0 0 0 0 0
## [257,] 0 1 0 0 0 0 0 0 0 0 1 0
## [258,] 0 0 0 0 0 0 0 0 0 0 0 0
## [259,] 0 0 0 0 0 1 0 0 1 0 1 1
## [260,] 0 0 0 0 0 0 0 0 0 0 0 0
## [261,] 1 0 0 0 0 0 0 0 0 0 0 0
## [262,] 0 0 0 0 0 0 0 0 0 0 0 0
## [263,] 0 0 0 0 0 0 0 0 0 1 0 0
## [264,] 0 0 0 2 0 0 0 1 0 0 0 0
## [265,] 0 0 0 0 0 0 0 0 0 0 0 0
## [266,] 0 0 0 0 0 0 0 0 0 0 0 0
## [267,] 0 0 0 0 0 0 0 0 0 0 0 0
## [268,] 0 0 0 0 0 0 0 0 0 0 0 0
## [269,] 0 0 0 0 0 0 0 0 1 0 0 0
## [270,] 1 0 0 0 0 0 0 0 0 0 0 0
## [271,] 0 0 0 0 0 0 0 0 0 0 0 0
## [272,] 0 0 0 0 0 0 0 0 0 0 0 0
## [273,] 0 0 0 0 0 0 0 0 0 0 0 0
## [274,] 0 0 0 0 0 0 1 0 0 0 1 0
## [275,] 0 0 0 0 1 1 1 1 1 1 1 0
## [276,] 0 0 0 0 0 0 1 0 1 0 0 0
## [277,] 0 0 0 0 0 0 0 1 1 0 0 0
## [278,] 0 0 0 0 0 0 0 0 1 0 0 1
## [279,] 1 0 0 0 0 0 0 0 0 0 0 1
## [280,] 1 0 0 1 0 0 1 0 1 1 0 1
## [281,] 1 0 0 0 0 0 1 0 0 0 0 2
## [282,] 1 0 0 0 0 0 0 0 0 0 1 0
## [283,] 0 0 0 0 1 1 0 0 0 1 0 0
## [284,] 0 0 0 0 0 0 0 0 0 0 0 0
## [285,] 0 0 0 1 0 0 0 1 0 0 0 0
## [286,] 0 0 0 0 0 0 0 0 0 0 0 0
## [287,] 0 0 1 0 0 0 0 0 0 0 0 0
## [288,] 0 0 0 0 0 0 0 0 0 1 0 0
## [289,] 0 1 0 0 0 1 0 0 0 1 0 1
## [290,] 0 0 0 0 0 0 0 0 0 0 0 0
## [291,] 0 1 1 0 0 1 0 1 0 1 0 0
## [292,] 0 0 0 0 0 0 0 0 0 0 0 0
## [293,] 1 1 0 0 0 0 0 0 1 0 0 0
## [294,] 0 0 0 0 0 0 0 0 0 0 0 0
## [295,] 1 0 0 0 1 0 0 0 0 0 0 0
## [296,] 0 0 0 0 0 0 0 0 0 0 0 0
## [297,] 2 1 0 0 0 1 0 0 0 0 0 1
## [298,] 0 0 0 0 0 0 0 0 0 0 0 0
## [299,] 0 0 0 0 0 0 1 0 1 0 0 1
## [300,] 0 0 0 0 1 0 0 0 0 0 0 0
## [301,] 0 0 0 1 1 0 0 0 0 0 0 0
## [302,] 0 0 0 0 0 0 0 0 0 0 0 0
## [303,] 0 0 1 0 0 0 1 0 0 1 0 1
## [304,] 0 0 0 0 0 0 0 1 0 0 0 0
## [305,] 0 0 0 0 0 0 0 1 0 1 0 0
## [306,] 0 0 0 0 0 0 1 0 0 0 0 0
## [307,] 0 0 0 0 0 0 0 0 0 0 0 0
## [308,] 1 0 0 0 0 0 0 0 0 0 0 0
## [309,] 0 1 0 0 0 0 0 0 0 0 0 0
## [310,] 0 0 1 0 0 1 0 1 0 0 0 0
## [311,] 0 0 0 0 0 0 0 0 0 0 0 0
## [312,] 0 0 0 0 0 0 0 0 0 0 0 0
## [313,] 1 0 1 0 0 0 0 0 0 0 0 0
## [314,] 0 1 0 0 0 0 0 0 0 0 0 0
## [315,] 0 0 0 0 0 0 0 0 0 0 0 0
## [316,] 0 0 0 0 0 0 0 0 0 0 1 0
## [317,] 0 0 0 0 0 0 0 0 0 0 0 0
## [318,] 0 0 0 0 0 1 0 1 1 0 1 0
## [319,] 0 1 0 0 0 0 0 0 0 0 0 0
## [320,] 0 0 0 0 0 0 1 0 0 0 0 0
## [321,] 0 0 0 0 0 0 0 0 0 0 0 0
## [322,] 0 0 0 0 0 0 0 1 1 1 0 0
## [323,] 0 0 0 0 0 0 0 0 0 0 0 0
## [324,] 1 0 0 0 0 0 0 0 0 0 0 0
## [325,] 0 0 1 0 0 0 0 1 0 0 0 0
## [326,] 0 0 0 0 0 0 0 0 0 0 0 0
## [327,] 0 0 0 0 0 0 0 0 0 0 0 0
## [328,] 0 0 0 0 0 0 0 0 1 0 0 0
## [329,] 0 1 0 0 0 0 0 0 0 0 0 0
## [330,] 0 0 0 0 0 0 0 0 0 0 0 0
## [331,] 0 0 0 0 0 0 0 0 0 0 0 0
## [332,] 0 0 0 0 0 0 0 0 0 0 0 0
## [333,] 0 0 0 0 0 0 0 0 0 0 0 0
## [334,] 0 0 0 0 0 0 0 0 0 1 0 0
## [335,] 0 0 0 0 0 0 0 0 0 0 0 0
## [336,] 0 0 0 0 0 0 0 0 0 0 0 0
## [337,] 0 0 0 0 0 0 0 0 0 0 0 0
## [338,] 0 0 0 0 0 0 0 0 0 0 0 0
## [339,] 0 0 0 0 0 0 0 0 0 0 0 0
## [340,] 0 0 0 0 0 0 0 0 0 0 0 0
## [341,] 0 0 0 0 0 0 0 0 0 0 0 0
## [342,] 0 0 0 0 0 0 0 0 0 0 0 0
## [343,] 0 0 0 0 0 0 0 0 0 0 0 0
## [344,] 0 0 0 0 0 0 0 0 0 0 0 0
## [345,] 0 0 0 0 0 0 0 0 0 0 0 0
## [346,] 0 0 0 0 0 0 0 0 0 0 0 0
## [347,] 0 0 0 0 0 0 0 0 0 0 0 0
## [348,] 0 0 0 0 0 0 0 0 0 0 0 0
## [349,] 0 0 0 0 0 0 0 0 0 0 0 0
## [350,] 0 0 0 0 0 0 0 0 0 0 0 0
## [351,] 0 0 0 0 0 0 0 0 0 0 0 0
## [352,] 0 0 0 0 0 0 0 0 0 0 0 0
## [353,] 0 0 0 0 0 0 0 0 0 0 0 0
## [354,] 0 0 0 0 0 0 0 0 0 0 0 0
## [355,] 0 0 0 0 0 0 0 0 0 0 0 0
## [356,] 0 0 0 0 0 0 0 0 0 0 0 0
## [357,] 0 0 0 0 0 0 0 0 0 0 0 0
## [358,] 0 0 0 0 0 0 0 0 0 0 0 0
## [359,] 0 0 0 0 0 0 0 0 0 0 0 0
## [360,] 0 0 0 0 0 0 0 0 0 0 0 0
## [361,] 0 0 0 0 0 0 0 0 0 0 0 0
## [362,] 0 0 0 0 0 0 0 0 0 0 0 0
## [363,] 1 0 0 0 1 0 0 0 0 0 0 0
## [364,] 0 0 0 1 0 0 0 0 0 0 0 0
## [365,] 0 0 1 0 0 0 0 0 0 1 0 0
## [366,] 0 0 0 0 0 0 0 0 0 1 0 0
## [367,] 0 0 0 0 0 0 0 0 0 0 0 0
## [368,] 0 0 0 0 0 0 0 0 0 0 0 0
## [369,] 0 0 0 0 0 0 0 0 0 0 0 0
## [370,] 0 0 0 0 0 0 0 0 0 0 0 0
## [371,] 0 0 0 0 0 0 0 0 0 0 0 0
## [372,] 0 0 0 0 0 0 0 0 0 0 0 0
## [373,] 0 0 1 0 0 0 1 0 0 1 0 0
## [374,] 0 0 0 0 0 0 0 0 0 0 0 0
## [375,] 0 0 0 0 0 0 0 0 0 0 0 0
## [376,] 0 0 0 0 0 0 0 0 0 0 0 0
## [377,] 0 0 0 0 0 0 0 0 0 0 0 0
## [378,] 0 0 0 0 0 0 0 0 1 0 0 1
## [379,] 0 0 0 0 0 0 0 0 0 0 0 0
## [380,] 0 0 0 0 0 0 0 0 0 0 0 0
## [381,] 0 0 0 0 0 0 0 0 0 0 0 0
## [382,] 0 0 0 0 0 0 0 0 0 0 0 0
## [383,] 0 0 0 0 0 0 0 0 0 0 0 0
## [384,] 0 0 0 0 0 0 0 0 0 0 0 0
## [385,] 0 0 0 0 0 0 0 0 0 0 0 0
## [386,] 0 0 0 0 0 0 0 0 0 0 0 0
## [387,] 0 0 0 0 0 0 0 0 0 0 0 0
## [388,] 0 0 0 0 0 0 0 0 0 1 0 0
## [389,] 0 0 0 0 0 0 0 0 0 0 0 0
## [390,] 0 0 0 0 0 0 0 0 0 0 1 0
## [391,] 0 0 0 0 0 0 0 0 0 0 0 0
## [392,] 0 0 0 0 0 0 0 0 0 0 0 0
## [393,] 0 0 0 0 0 0 0 0 0 0 0 0
## [394,] 0 0 0 0 0 0 0 0 0 0 0 0
## [395,] 0 0 0 0 0 0 0 0 0 0 0 0
## [396,] 0 0 0 0 0 1 0 0 0 0 0 0
## [397,] 0 0 0 0 0 0 0 0 0 0 0 0
## [398,] 0 0 0 0 0 0 0 0 0 0 0 0
## [399,] 0 0 0 0 0 0 0 0 0 0 0 0
## [400,] 0 0 0 0 0 0 0 0 0 0 0 0
## [401,] 0 0 0 0 0 0 0 0 0 0 0 0
## [402,] 0 0 0 0 0 0 0 0 0 0 0 0
## [403,] 0 0 0 0 0 0 0 0 0 0 0 0
## [404,] 0 0 0 0 0 0 0 0 0 0 1 0
## [405,] 0 0 0 0 0 0 0 0 0 0 0 0
## [406,] 0 0 0 0 0 0 0 0 0 0 0 0
## [407,] 0 0 0 0 0 0 0 0 0 0 0 0
## [408,] 0 0 0 0 0 0 0 0 0 0 0 0
## [409,] 0 0 0 0 0 0 0 0 0 0 0 0
## [410,] 0 0 0 0 0 0 0 1 1 0 1 0
## [411,] 0 0 0 0 0 0 0 0 0 0 0 0
## [412,] 0 0 0 0 0 0 0 0 0 0 0 0
## [413,] 0 0 0 0 0 0 0 0 0 0 0 0
## [414,] 0 0 0 0 0 0 0 0 0 0 0 0
## [415,] 0 0 0 0 0 0 0 0 0 0 0 0
## [416,] 0 0 0 0 0 0 0 0 0 0 0 0
## [417,] 0 0 0 0 0 0 0 0 0 0 0 0
## [418,] 0 0 0 0 0 0 0 0 0 0 0 0
## [419,] 0 0 0 0 0 0 0 0 0 0 0 0
## [420,] 0 0 0 0 0 0 0 0 0 0 0 0
## [421,] 0 0 0 0 0 0 0 0 0 0 0 0
## [422,] 0 0 0 0 0 0 0 0 0 0 0 0
## [423,] 0 0 0 0 0 0 0 0 0 0 0 0
## [424,] 0 0 0 0 0 0 0 0 0 0 0 0
## [425,] 0 0 0 0 0 0 0 0 0 0 0 0
## [426,] 0 0 0 0 0 0 0 0 0 0 0 0
## [427,] 0 0 0 0 0 0 0 0 0 0 0 0
## [428,] 0 1 0 0 0 0 0 0 0 0 0 0
## [429,] 0 0 0 0 0 0 0 0 0 0 0 0
## [430,] 0 0 0 0 0 0 0 0 0 0 0 0
## [431,] 0 0 0 0 0 0 0 0 0 0 0 0
## [432,] 0 0 0 0 1 0 0 1 0 1 0 0
## [433,] 0 0 0 0 0 0 0 0 0 0 0 0
## [434,] 1 0 0 0 0 0 0 0 0 0 0 0
## [435,] 0 0 0 0 0 0 0 0 0 0 0 0
## [436,] 0 0 0 0 0 0 0 0 0 0 0 0
## [437,] 1 0 1 0 0 0 0 0 0 1 0 0
## [438,] 0 1 0 0 1 0 0 0 0 0 1 0
## [439,] 0 0 0 0 0 0 0 0 0 0 0 0
## [440,] 0 0 0 0 0 0 0 0 0 0 0 0
## [441,] 0 0 0 0 0 0 1 0 0 0 0 0
## [442,] 0 0 0 0 0 0 0 0 0 0 0 0
## [443,] 0 0 0 0 0 0 0 0 0 0 0 0
## [444,] 0 0 0 0 0 0 0 0 0 0 0 0
## [445,] 0 0 0 0 0 0 0 0 0 0 0 0
## [446,] 0 0 0 0 0 0 0 0 0 0 0 0
## [447,] 0 0 0 0 0 0 0 0 0 0 0 0
## [448,] 0 0 0 0 0 0 0 0 0 0 0 0
## [449,] 0 0 0 0 0 0 0 0 0 0 0 0
## [450,] 0 0 0 0 0 0 0 0 0 0 0 0
## [451,] 0 0 0 0 0 0 0 0 0 0 0 0
## [452,] 0 0 0 0 0 0 0 0 0 0 0 0
## [453,] 0 0 0 0 0 0 0 0 1 0 0 0
## [454,] 0 0 0 0 0 0 0 0 0 0 0 0
## [455,] 0 0 0 0 0 0 0 0 0 0 0 0
## [456,] 0 0 0 0 0 0 0 0 0 0 0 0
## [457,] 0 0 0 0 0 0 0 0 0 0 0 0
## [458,] 0 0 0 0 0 0 0 0 0 0 0 0
## [459,] 0 0 0 0 0 0 0 0 0 0 0 0
## [460,] 0 0 0 0 0 0 0 0 0 0 0 0
## [461,] 0 0 0 0 0 0 0 0 0 0 0 0
## [462,] 0 0 0 0 0 0 0 0 0 0 0 0
## [463,] 0 0 0 0 0 0 0 0 0 0 0 0
## [464,] 0 0 0 0 0 0 0 0 0 0 0 0
## [465,] 0 0 0 0 0 0 0 0 0 0 0 0
## [466,] 0 0 0 0 0 0 0 0 0 0 0 0
## [467,] 0 0 0 0 0 0 0 0 0 0 0 0
## [468,] 0 0 0 0 0 0 0 0 0 0 0 0
## [469,] 0 0 0 0 0 0 0 0 0 0 0 0
## [470,] 0 0 0 0 0 0 0 0 0 0 0 0
## [471,] 0 0 0 0 0 0 1 0 0 0 1 0
## [472,] 0 0 0 0 0 0 0 0 0 0 0 0
## [473,] 0 0 0 0 0 0 0 0 0 0 0 0
## [474,] 0 0 0 0 0 0 0 0 0 0 1 0
## [475,] 0 0 0 0 0 0 0 0 0 0 0 0
## [476,] 0 0 0 0 0 0 0 0 0 0 0 0
## [477,] 0 0 0 0 0 0 0 0 0 0 0 0
## [478,] 0 0 0 0 0 0 0 0 0 0 0 0
## [479,] 0 0 0 0 0 0 0 0 0 1 0 0
## [480,] 0 0 0 0 0 0 0 0 0 0 0 0
## [481,] 0 0 0 0 0 0 0 0 0 0 0 0
## [482,] 0 0 0 0 0 0 0 0 0 0 0 0
## [483,] 0 0 0 0 0 0 0 0 0 0 0 0
## [484,] 0 0 0 0 0 0 0 0 0 0 0 0
## [485,] 0 0 0 0 1 0 0 0 0 1 1 1
## [486,] 0 0 0 0 0 0 0 0 0 0 0 0
## [487,] 0 0 0 0 0 0 0 0 0 0 0 0
## [488,] 0 0 0 0 0 0 0 0 0 0 0 0
## [489,] 0 0 0 0 0 0 0 0 0 0 0 0
## [490,] 0 0 0 0 0 0 0 1 1 1 0 0
## [491,] 0 0 0 0 0 0 0 0 0 0 0 0
## [492,] 0 0 0 0 0 0 0 0 0 0 0 0
## [493,] 0 0 0 0 0 0 0 0 0 0 0 0
## [494,] 0 1 0 0 0 0 0 0 0 0 0 0
## [495,] 0 0 0 0 0 0 0 0 0 0 0 0
## [496,] 0 0 0 0 0 0 0 0 0 0 0 0
## [497,] 0 0 0 0 0 0 0 0 0 0 0 0
## [498,] 0 0 0 0 0 0 0 0 0 0 0 0
## [499,] 0 0 0 0 0 0 0 0 0 0 0 0
## [500,] 0 0 0 0 0 0 0 0 0 0 0 0
## [501,] 0 0 0 0 0 0 0 0 1 0 0 0
## [502,] 0 0 0 0 0 0 0 0 0 0 0 0
## [503,] 0 0 0 0 0 0 0 0 0 0 0 0
## [504,] 0 0 0 0 0 0 0 0 0 0 0 0
## [505,] 0 0 0 0 0 0 0 0 0 0 0 0
## [506,] 0 1 0 1 0 0 0 0 0 0 0 0
## [507,] 0 0 0 0 0 0 0 0 0 0 0 0
## [508,] 0 0 0 0 0 0 0 0 0 0 0 0
## [509,] 0 0 0 0 0 0 0 0 0 0 0 0
## [510,] 0 0 0 0 0 0 0 0 1 0 0 0
## [511,] 0 0 0 0 0 0 0 0 0 0 0 0
## [512,] 0 0 1 0 0 0 0 0 0 0 0 0
## [513,] 0 0 0 1 0 0 0 0 0 0 0 0
## [514,] 0 0 0 0 0 0 0 0 0 0 0 0
## [515,] 0 0 0 0 0 0 0 0 0 0 0 0
## [516,] 0 0 0 0 0 0 0 0 0 0 0 0
## [517,] 0 0 0 0 0 0 0 0 0 0 0 0
## [518,] 0 0 0 0 0 0 0 0 0 0 0 0
## [519,] 0 0 0 0 0 0 0 0 0 0 0 0
## [520,] 0 0 0 0 0 0 0 0 0 0 0 0
## [521,] 0 0 0 0 0 0 0 0 0 0 0 0
## [522,] 0 0 0 0 0 0 0 0 0 0 0 0
## [523,] 0 0 0 0 0 0 0 0 0 0 0 0
## [524,] 0 0 0 0 0 0 0 0 0 0 0 0
## [525,] 0 0 0 0 0 0 0 0 0 0 0 0
## [526,] 0 0 0 0 0 0 0 0 0 0 0 0
## [527,] 1 0 0 0 0 0 0 0 0 0 0 0
## [528,] 0 0 0 0 0 0 0 0 0 0 0 0
## [529,] 0 0 0 0 0 0 0 0 0 0 0 0
## [530,] 0 0 0 0 0 0 0 0 0 0 0 0
## [531,] 1 2 1 0 0 1 0 0 0 0 0 0
## [532,] 0 0 0 0 0 0 0 0 0 0 0 0
## [533,] 0 0 0 0 0 0 0 1 0 0 0 0
## [534,] 0 0 1 0 0 0 0 0 0 0 0 1
## [535,] 0 0 0 0 0 0 0 0 0 0 0 0
## [536,] 0 1 0 0 0 0 0 0 0 0 0 0
## [537,] 0 0 0 0 0 0 0 0 0 0 0 0
## [538,] 0 0 0 0 0 0 0 0 0 0 0 0
## [539,] 0 0 0 0 0 0 0 0 0 0 0 0
## [540,] 0 0 0 0 0 0 0 0 0 0 0 0
## [541,] 0 0 0 0 0 1 0 0 0 0 0 0
## [542,] 0 0 0 0 0 0 0 0 0 0 0 0
## [543,] 0 0 0 0 0 0 0 0 0 0 0 0
## [544,] 0 0 0 0 0 0 0 0 0 0 0 0
## [545,] 0 0 0 0 0 0 0 0 0 0 0 0
## [546,] 0 0 0 0 0 0 0 0 0 0 0 0
## [547,] 1 0 0 0 1 1 0 2 0 0 1 0
## [548,] 0 0 0 0 0 0 0 0 1 0 0 0
## [549,] 0 0 0 0 0 0 0 0 0 0 0 1
## [550,] 0 0 0 0 0 0 0 0 0 0 0 0
## [551,] 0 0 0 0 0 0 0 0 0 0 0 0
## [552,] 0 0 0 0 0 0 0 0 0 0 0 0
## [553,] 0 0 0 0 0 0 0 0 0 0 0 0
## [554,] 0 0 0 0 0 0 0 0 0 0 0 0
## [555,] 0 0 0 0 0 0 0 0 0 0 0 0
## [556,] 0 0 0 0 0 0 0 0 0 0 0 0
## [557,] 0 0 0 0 0 0 0 0 0 0 0 0
## [558,] 0 0 0 0 0 0 0 0 0 0 0 0
## [559,] 0 0 0 0 0 0 0 0 0 1 0 0
## [560,] 0 0 0 0 0 0 0 0 0 0 0 0
## [561,] 0 0 0 0 0 0 0 0 0 0 0 0
## [562,] 0 0 0 0 0 0 0 0 0 0 0 0
## [563,] 0 0 0 0 0 0 0 0 1 0 0 0
## [564,] 0 0 0 0 0 0 0 0 0 0 0 0
## [565,] 0 0 0 0 0 0 0 0 0 0 0 0
## [566,] 0 0 0 1 0 0 0 0 0 0 0 0
## [567,] 0 0 0 0 0 0 0 0 0 0 0 0
## [568,] 0 0 0 0 0 0 0 0 0 0 0 0
## [569,] 0 0 0 0 0 0 0 0 0 0 0 0
## [570,] 0 0 0 0 0 0 0 0 0 0 0 0
## [571,] 0 0 0 0 0 0 0 0 0 0 0 0
## [572,] 0 0 0 0 0 0 0 1 0 0 0 0
## [573,] 0 0 0 0 0 0 0 0 0 0 0 0
## [574,] 0 0 0 0 0 0 0 0 0 0 0 0
## [575,] 1 0 1 0 0 0 0 0 0 0 0 0
## [576,] 0 0 0 0 0 0 0 0 0 0 0 0
## [577,] 0 0 0 0 0 0 0 0 0 0 0 0
## [578,] 0 0 0 0 0 0 0 0 0 0 0 0
## [579,] 0 0 0 0 0 0 0 0 0 0 0 0
## [580,] 0 0 0 0 0 0 0 0 0 0 0 0
## [581,] 0 0 0 0 0 0 0 0 0 0 1 0
## [582,] 0 0 0 0 0 0 1 0 0 0 0 0
## [583,] 0 0 0 0 0 0 0 0 0 0 0 0
## [584,] 0 0 0 0 0 0 0 0 0 0 0 0
## [585,] 0 0 0 0 0 0 0 0 0 0 0 0
## [586,] 0 0 0 0 0 0 0 0 0 0 0 0
## [587,] 0 0 0 0 0 0 0 0 0 0 0 0
## [588,] 0 0 0 0 0 0 0 0 0 0 0 0
## [589,] 0 0 0 0 0 0 0 0 0 0 0 0
## [590,] 0 0 0 0 0 0 0 0 0 0 0 0
## [591,] 0 0 0 0 0 0 0 1 0 0 0 0
## [592,] 0 0 0 1 1 0 0 0 0 0 0 0
## [593,] 0 0 0 0 0 0 0 0 0 0 0 0
## [594,] 0 0 0 0 0 0 0 0 0 0 0 0
## [595,] 0 0 0 0 0 0 0 0 0 0 0 0
## [596,] 0 0 0 0 0 0 0 0 0 0 0 0
## [597,] 0 0 0 0 0 0 0 0 0 1 0 0
## [598,] 0 0 0 0 0 0 0 0 0 0 0 0
## [599,] 0 0 0 0 0 0 0 0 0 0 0 0
## [600,] 0 0 0 0 0 0 0 1 0 0 0 0
## [601,] 0 0 0 0 0 0 0 0 0 0 0 0
## [602,] 0 0 0 0 0 0 0 0 0 0 0 1
## [603,] 0 0 0 0 0 0 0 0 0 0 0 0
## [604,] 0 0 0 0 0 0 0 0 0 0 0 0
## [605,] 0 0 0 0 0 0 0 0 0 0 0 0
## [606,] 0 0 0 0 0 0 0 0 0 0 0 0
## [607,] 0 0 0 0 0 0 0 0 0 0 0 0
## [608,] 0 0 0 0 0 0 0 0 0 0 0 0
## [609,] 0 0 0 0 0 0 0 0 0 0 0 0
## [610,] 0 0 0 0 0 0 0 0 1 0 0 0
## [611,] 0 0 0 0 0 0 0 0 0 0 0 0
## [612,] 0 0 0 0 0 0 0 0 0 0 2 0
## [613,] 0 0 0 0 0 0 0 0 0 0 0 0
## [614,] 0 0 0 0 0 0 0 0 0 0 0 0
## [615,] 0 0 0 0 0 0 0 0 0 0 0 0
## [616,] 0 0 0 0 0 0 0 0 0 0 0 0
## [617,] 0 0 0 0 0 0 0 0 0 0 0 0
## [618,] 0 1 0 0 0 0 0 0 1 0 0 1
## [619,] 0 0 0 0 0 0 0 0 0 0 0 0
## [620,] 0 0 0 0 0 0 0 1 1 0 0 0
## [621,] 0 0 0 0 0 0 0 0 0 1 0 0
## [622,] 0 0 0 0 0 0 0 0 0 0 0 0
## [623,] 0 0 0 0 0 0 0 0 0 0 0 0
## [624,] 0 0 0 0 0 0 0 0 0 0 0 0
## [625,] 0 0 0 0 0 0 0 0 0 0 0 0
## [626,] 0 0 0 0 0 0 0 0 0 0 0 0
## [627,] 0 0 0 0 0 0 0 0 0 0 0 0
## [628,] 0 0 0 0 0 0 0 0 0 0 0 0
## [629,] 0 0 0 0 0 0 0 0 0 0 0 0
## [630,] 0 0 0 0 0 0 0 0 0 0 0 0
## [631,] 0 0 0 0 0 0 0 0 0 0 0 0
## [632,] 0 0 0 0 0 0 0 0 0 0 0 0
## [633,] 1 0 0 0 1 0 0 0 0 0 0 0
## [634,] 0 0 0 0 0 0 0 0 0 0 0 0
## [635,] 0 0 0 0 0 0 0 0 0 0 0 0
## [636,] 0 0 0 0 0 0 0 0 0 0 0 0
## [637,] 0 0 0 0 0 0 0 0 0 0 0 0
## [638,] 0 0 0 0 0 0 0 0 0 0 0 0
## [639,] 0 0 0 0 0 0 0 0 0 0 0 0
## [640,] 0 0 0 0 0 1 0 0 0 0 0 0
## [641,] 0 0 0 0 0 0 0 0 0 0 0 0
## [642,] 0 0 0 0 0 0 0 0 1 0 0 0
## [643,] 0 0 0 0 0 0 0 0 0 0 0 0
## [644,] 0 0 0 0 0 0 0 0 0 0 0 0
## [645,] 0 0 0 0 0 0 0 0 0 0 0 0
## [646,] 0 0 0 0 0 0 0 0 0 0 0 0
## [647,] 0 0 0 0 0 0 0 0 0 0 0 0
## [648,] 0 0 0 0 0 0 0 0 0 0 0 0
## [649,] 0 0 0 0 0 0 0 0 0 0 0 0
## [650,] 0 0 0 0 0 0 0 0 0 0 0 0
## [651,] 1 0 0 0 0 0 0 0 0 1 0 0
## [652,] 1 1 0 0 0 1 0 0 1 0 0 0
## [653,] 0 0 1 0 0 1 0 0 0 0 1 0
## [654,] 0 0 0 0 0 0 0 1 0 0 0 0
## [655,] 0 0 0 0 0 0 1 0 0 2 0 0
## [656,] 1 0 0 1 0 0 0 0 0 0 0 1
## [657,] 1 0 1 0 0 0 0 0 0 0 0 0
## [658,] 0 0 0 0 0 0 0 1 0 0 1 1
## [659,] 0 0 0 0 0 0 0 0 0 0 0 0
## [660,] 0 0 0 0 0 0 1 1 0 1 0 1
## [661,] 0 0 0 0 0 0 0 1 0 0 0 1
## [662,] 0 0 0 0 0 0 0 0 0 0 0 0
## [663,] 0 0 0 0 0 0 0 0 1 0 0 0
## [664,] 0 0 0 0 0 0 0 1 0 0 0 1
## [665,] 0 0 0 0 0 0 0 0 0 0 0 0
## [666,] 0 0 0 0 0 0 0 0 0 0 0 0
## [667,] 1 1 2 0 0 0 0 0 0 0 0 0
## [668,] 0 0 0 0 0 0 0 0 0 0 0 0
## [669,] 0 0 0 0 0 0 0 0 0 0 0 1
## [670,] 0 0 0 0 1 0 0 0 0 0 1 0
## [671,] 0 0 0 0 0 0 0 0 0 0 0 0
## [672,] 0 0 0 0 0 0 0 0 0 0 0 0
## [673,] 0 0 0 0 0 0 0 0 0 0 0 0
## [674,] 0 0 0 0 0 0 0 0 0 0 1 0
## [675,] 0 0 0 0 0 0 0 0 0 0 0 0
## [676,] 0 0 1 0 0 0 1 0 1 0 0 0
## [677,] 0 0 0 0 0 0 0 0 0 0 1 0
## [678,] 1 0 0 0 0 0 0 0 0 0 0 0
## [679,] 0 0 0 0 0 0 0 1 1 0 0 0
## [680,] 0 1 0 0 0 2 0 0 0 0 0 1
## [681,] 0 0 0 0 0 0 0 0 0 0 0 0
## [682,] 2 0 0 0 0 0 0 0 0 1 0 1
## [683,] 0 0 0 0 0 0 0 0 0 0 0 0
## [684,] 0 1 0 1 0 0 0 0 0 0 0 0
## [685,] 0 0 0 0 0 0 0 0 0 0 0 0
## [686,] 2 0 0 0 0 0 0 0 0 0 0 0
## [687,] 0 0 0 0 0 0 0 0 0 0 0 0
## [688,] 0 0 0 0 0 0 0 0 0 0 0 0
## [689,] 0 0 0 0 0 0 0 0 0 0 0 0
## [690,] 0 0 0 0 0 0 0 0 0 0 0 0
## [691,] 0 0 0 0 0 0 0 0 0 0 0 0
## [692,] 1 0 0 0 0 0 0 0 0 0 0 0
## [693,] 0 0 0 0 0 0 0 0 0 0 0 0
## [694,] 0 0 0 0 0 1 0 0 0 0 0 0
## [695,] 0 0 0 0 0 0 0 0 0 0 0 0
## [696,] 0 0 1 1 0 0 0 0 0 0 0 1
## [697,] 0 0 1 0 0 0 0 0 0 0 0 0
## [698,] 0 0 0 0 0 1 2 2 0 0 1 0
## [699,] 0 0 0 0 0 0 0 0 0 0 0 0
## [700,] 0 0 0 0 0 0 0 0 0 0 0 0
## [701,] 1 0 0 0 0 0 0 0 0 0 1 0
## [702,] 0 0 1 0 0 1 0 0 1 0 0 0
## [703,] 0 0 0 0 0 0 0 0 0 0 0 0
## [704,] 0 0 0 0 0 0 0 0 0 0 0 0
## [705,] 0 0 0 0 0 0 0 0 0 0 0 0
## [706,] 0 0 0 0 0 0 0 0 0 0 0 0
## [707,] 0 0 0 0 0 0 0 0 0 0 0 0
## [708,] 0 0 0 0 0 0 0 0 0 0 0 0
## [709,] 0 0 0 0 0 0 0 0 0 0 0 0
## [710,] 0 0 0 0 0 0 0 0 0 0 0 0
## [711,] 1 1 0 0 0 1 0 0 0 1 0 1
## [712,] 0 0 0 0 0 0 0 0 0 0 0 0
## [713,] 1 0 0 0 0 0 0 0 0 0 0 0
## [714,] 0 0 0 0 0 0 0 0 0 0 0 0
## [715,] 0 0 0 0 0 0 0 0 0 1 1 0
## [716,] 0 0 0 0 0 0 0 0 0 0 0 0
## [717,] 0 0 0 0 0 0 0 0 0 0 0 0
## [718,] 1 0 0 0 0 0 1 0 0 0 0 0
## [719,] 0 0 0 0 0 0 0 0 0 0 0 0
## [720,] 0 0 0 0 0 0 0 0 0 0 0 0
## [721,] 0 0 0 0 0 0 0 0 0 0 0 0
## [722,] 0 0 0 0 0 0 0 0 0 0 0 0
## [723,] 1 0 0 0 0 0 0 0 0 0 0 0
## [724,] 0 0 0 0 0 0 0 0 0 0 0 0
## [725,] 0 0 0 0 0 0 0 0 0 0 0 0
## [726,] 0 0 0 0 0 0 0 0 0 0 0 0
## [727,] 0 0 0 0 0 0 0 0 0 0 0 0
## [728,] 0 0 0 0 0 0 0 0 0 0 0 0
## [729,] 0 0 0 0 0 0 1 0 0 0 2 0
## [730,] 0 0 0 0 0 0 0 0 0 0 0 0
## [731,] 0 0 0 0 0 0 0 0 0 0 0 0
## [732,] 0 0 0 0 0 0 0 0 0 0 0 0
## [733,] 0 0 0 0 0 0 0 0 0 0 0 0
## [734,] 0 0 0 0 0 0 0 0 0 0 0 0
## [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37]
## [1,] 0 0 0 0 0 0 0 0 0 0 0 0
## [2,] 0 0 0 0 0 0 0 0 0 0 0 0
## [3,] 0 0 0 0 0 0 0 0 0 0 0 0
## [4,] 0 0 0 0 0 0 0 0 0 0 0 0
## [5,] 0 0 0 0 0 0 0 0 0 0 0 0
## [6,] 0 0 0 0 0 0 0 0 0 0 0 0
## [7,] 0 0 1 0 0 0 0 0 0 0 0 0
## [8,] 0 0 0 0 0 0 0 0 0 0 0 0
## [9,] 0 0 0 0 0 0 0 0 0 0 0 0
## [10,] 0 0 0 0 0 0 0 0 0 0 0 0
## [11,] 0 0 0 0 0 0 0 1 0 0 0 0
## [12,] 0 0 0 0 0 0 0 0 0 0 0 0
## [13,] 0 1 0 0 0 0 0 1 0 0 1 0
## [14,] 0 0 0 0 0 0 0 0 0 0 0 0
## [15,] 0 0 0 0 0 0 0 1 0 0 0 0
## [16,] 0 0 0 0 0 0 0 0 0 0 0 0
## [17,] 0 0 0 0 0 0 0 0 0 0 0 0
## [18,] 0 0 0 0 0 0 0 0 0 0 0 0
## [19,] 0 0 0 0 0 0 0 0 0 0 1 0
## [20,] 0 0 0 0 0 0 0 0 0 0 0 0
## [21,] 0 0 0 0 0 0 0 0 0 0 0 0
## [22,] 0 0 0 0 0 0 0 0 0 0 0 0
## [23,] 0 0 0 1 0 0 0 0 0 0 0 0
## [24,] 0 0 0 0 0 0 0 0 0 0 0 0
## [25,] 0 0 0 0 0 0 0 0 0 0 0 0
## [26,] 0 0 0 0 0 0 0 0 0 0 0 0
## [27,] 0 0 0 0 0 0 0 0 0 0 0 0
## [28,] 0 0 0 0 0 0 0 0 0 0 0 0
## [29,] 0 0 0 0 0 0 0 0 0 0 0 0
## [30,] 0 0 0 0 0 0 0 0 0 0 0 0
## [31,] 0 0 0 0 0 0 0 0 0 0 0 0
## [32,] 0 0 0 0 0 0 0 0 0 0 0 0
## [33,] 0 0 0 0 0 0 0 0 0 0 0 0
## [34,] 0 0 0 1 0 0 0 1 0 0 0 0
## [35,] 0 0 0 0 0 0 0 0 0 0 0 0
## [36,] 0 0 0 0 0 0 0 0 0 0 0 0
## [37,] 0 0 0 0 0 0 0 0 0 0 0 0
## [38,] 0 0 0 0 0 0 0 0 0 0 0 0
## [39,] 0 0 0 0 0 0 0 0 0 0 0 0
## [40,] 0 0 0 0 0 0 0 0 0 0 0 0
## [41,] 0 0 0 0 0 0 0 0 0 0 0 0
## [42,] 0 0 0 0 0 0 0 0 0 0 0 0
## [43,] 0 0 0 0 0 0 0 0 0 0 0 0
## [44,] 0 0 0 0 0 0 0 0 0 0 0 0
## [45,] 0 0 1 0 0 0 0 0 0 0 0 0
## [46,] 0 0 0 0 0 0 0 0 0 0 0 0
## [47,] 0 0 0 0 0 0 0 0 0 0 0 0
## [48,] 0 0 0 0 0 0 0 0 0 0 0 0
## [49,] 0 0 0 0 0 0 0 0 0 0 0 0
## [50,] 0 0 0 0 0 0 0 0 0 0 0 0
## [51,] 0 0 0 0 0 0 0 0 0 0 0 0
## [52,] 0 0 0 0 0 0 0 0 0 0 0 0
## [53,] 0 0 0 0 0 0 0 0 0 0 0 0
## [54,] 0 0 0 0 0 0 0 0 0 0 0 0
## [55,] 0 0 0 0 0 0 0 0 0 0 0 0
## [56,] 0 0 0 0 0 0 0 0 0 0 0 0
## [57,] 0 0 0 0 0 0 0 0 0 0 0 0
## [58,] 0 0 0 0 0 0 0 0 0 0 0 0
## [59,] 0 0 0 0 0 0 0 0 0 0 0 0
## [60,] 0 0 0 0 0 0 0 0 1 0 0 0
## [61,] 0 0 0 0 0 0 0 0 0 0 0 0
## [62,] 0 0 0 0 0 0 0 0 0 0 0 0
## [63,] 0 0 0 0 0 0 0 0 0 0 0 0
## [64,] 0 0 0 0 0 0 0 0 0 0 0 0
## [65,] 0 0 0 0 0 0 0 0 0 0 0 0
## [66,] 0 0 0 0 0 0 0 0 0 0 0 0
## [67,] 0 0 0 0 0 0 0 0 0 0 0 0
## [68,] 0 0 0 0 0 0 0 0 0 0 0 0
## [69,] 0 0 0 0 0 0 0 0 0 0 0 0
## [70,] 0 0 0 0 0 0 0 0 0 0 0 0
## [71,] 0 0 0 0 0 0 0 0 0 0 0 0
## [72,] 0 0 0 0 0 0 0 0 0 0 0 0
## [73,] 0 1 0 0 0 0 0 0 0 1 0 0
## [74,] 0 0 0 0 0 0 0 0 0 0 0 0
## [75,] 0 0 0 0 0 0 0 0 0 1 0 0
## [76,] 0 0 0 0 0 0 0 0 0 0 0 0
## [77,] 0 0 0 0 0 0 0 0 0 0 0 0
## [78,] 0 0 0 0 0 0 0 0 1 0 0 0
## [79,] 0 0 1 0 0 0 0 0 0 0 0 0
## [80,] 0 0 0 0 0 0 0 0 0 0 0 0
## [81,] 0 0 0 0 0 0 0 0 0 0 0 0
## [82,] 0 0 0 0 0 0 0 0 0 0 0 0
## [83,] 0 0 0 0 0 0 0 0 0 0 0 0
## [84,] 0 0 0 0 0 1 0 0 0 0 0 0
## [85,] 0 0 0 0 0 0 0 0 0 0 0 0
## [86,] 0 0 0 0 0 0 0 0 0 0 0 0
## [87,] 0 0 0 0 0 0 0 0 0 0 0 0
## [88,] 0 0 0 0 0 0 0 0 0 0 0 0
## [89,] 0 0 0 0 0 0 0 0 0 0 0 1
## [90,] 0 0 0 0 0 0 0 0 0 0 0 0
## [91,] 0 0 0 0 0 0 0 0 0 0 0 0
## [92,] 0 0 0 0 0 0 0 0 0 0 0 0
## [93,] 0 0 0 0 0 0 0 1 0 0 0 0
## [94,] 0 0 0 0 0 0 0 0 0 0 1 0
## [95,] 0 0 0 0 0 0 0 0 0 0 0 0
## [96,] 0 0 0 0 0 0 0 0 0 0 0 0
## [97,] 0 0 0 0 0 0 0 0 0 0 0 0
## [98,] 0 0 0 0 0 0 0 0 0 0 0 0
## [99,] 0 0 0 0 0 0 0 0 0 0 0 0
## [100,] 0 0 0 0 0 0 0 0 0 0 0 0
## [101,] 0 0 0 0 0 0 0 0 0 0 0 0
## [102,] 0 0 0 0 0 0 0 0 0 0 0 0
## [103,] 0 0 0 0 0 0 0 0 0 1 0 0
## [104,] 0 0 0 0 0 0 0 0 0 0 0 0
## [105,] 0 0 0 0 0 0 0 0 1 0 0 0
## [106,] 0 0 0 0 0 0 0 0 0 0 0 0
## [107,] 0 0 0 0 0 0 0 0 0 0 0 0
## [108,] 0 0 0 0 0 0 0 0 0 0 0 0
## [109,] 0 0 0 0 0 0 0 0 0 0 0 0
## [110,] 0 0 0 0 0 0 0 0 0 0 0 0
## [111,] 0 0 0 0 1 0 0 0 0 0 0 0
## [112,] 0 0 0 0 1 0 0 0 0 0 0 1
## [113,] 0 0 0 0 0 0 0 0 0 0 0 0
## [114,] 0 0 0 0 0 0 0 0 0 0 0 0
## [115,] 0 0 0 0 0 0 0 0 1 0 0 0
## [116,] 0 0 0 0 0 0 0 0 0 0 0 0
## [117,] 0 0 0 0 0 0 0 0 0 0 0 0
## [118,] 0 0 0 0 0 0 0 0 0 0 0 0
## [119,] 0 0 0 0 0 0 0 0 0 0 0 0
## [120,] 0 0 0 0 0 0 0 0 0 0 0 0
## [121,] 0 0 0 0 0 0 0 0 0 0 0 0
## [122,] 0 0 0 0 0 0 0 0 0 0 0 0
## [123,] 0 0 0 0 0 0 0 0 0 0 0 1
## [124,] 0 0 0 0 0 0 0 0 0 0 0 0
## [125,] 0 0 0 0 0 0 0 0 0 0 0 0
## [126,] 0 0 0 0 0 0 0 0 0 0 0 0
## [127,] 0 0 0 0 0 0 0 0 0 0 0 0
## [128,] 0 0 0 0 0 0 0 0 0 0 0 0
## [129,] 0 0 0 0 0 0 0 0 0 0 0 0
## [130,] 0 0 0 0 0 0 0 0 0 0 0 0
## [131,] 0 0 0 0 0 0 0 0 0 0 0 0
## [132,] 0 0 0 0 0 0 0 0 0 0 0 0
## [133,] 0 0 0 0 0 0 0 0 0 0 0 0
## [134,] 0 0 0 0 0 0 0 0 0 0 0 0
## [135,] 0 0 0 0 0 0 0 0 0 0 0 0
## [136,] 0 0 0 0 0 0 0 0 0 0 0 0
## [137,] 0 0 0 0 0 0 0 0 0 0 0 0
## [138,] 0 0 0 0 0 0 0 0 0 0 0 0
## [139,] 0 0 0 0 0 0 0 0 0 0 0 0
## [140,] 0 0 0 0 0 0 0 0 0 0 0 0
## [141,] 0 0 0 0 0 0 0 0 0 0 0 0
## [142,] 0 0 0 0 0 0 0 0 0 0 0 0
## [143,] 0 0 0 0 0 0 0 0 0 0 0 0
## [144,] 0 0 0 0 0 1 0 0 0 0 0 0
## [145,] 0 0 0 0 0 0 0 0 0 0 0 0
## [146,] 0 0 0 0 0 0 0 0 0 0 0 0
## [147,] 0 0 0 0 0 0 0 0 0 0 0 0
## [148,] 0 0 0 0 0 0 0 0 0 0 0 0
## [149,] 0 0 0 0 0 0 0 0 1 0 0 0
## [150,] 0 0 0 0 0 0 0 0 0 0 0 0
## [151,] 0 0 0 0 0 0 0 0 0 0 1 0
## [152,] 0 0 0 0 0 0 0 0 0 0 0 0
## [153,] 0 0 0 0 0 0 0 0 0 0 0 0
## [154,] 0 0 0 0 0 0 0 0 0 0 0 0
## [155,] 0 0 0 0 0 0 0 0 0 0 0 0
## [156,] 0 0 0 0 0 0 0 0 0 0 0 0
## [157,] 0 0 0 0 0 0 0 0 0 0 0 0
## [158,] 0 0 0 0 0 0 0 0 0 0 0 0
## [159,] 1 0 0 0 0 0 0 0 0 0 1 0
## [160,] 0 0 0 0 0 1 0 0 0 0 0 0
## [161,] 0 0 0 0 0 0 0 0 0 0 0 0
## [162,] 0 0 0 0 0 0 0 0 0 0 0 0
## [163,] 0 0 0 0 0 0 0 0 0 0 0 0
## [164,] 0 0 0 0 0 0 0 0 0 0 0 0
## [165,] 0 0 0 0 0 0 0 0 0 0 0 0
## [166,] 0 0 1 0 0 0 0 0 0 0 0 0
## [167,] 0 0 0 0 0 1 0 1 0 0 0 0
## [168,] 0 0 0 0 0 0 0 0 0 0 0 0
## [169,] 0 0 0 0 0 0 0 0 0 0 0 0
## [170,] 0 0 0 0 0 0 0 0 0 0 1 0
## [171,] 0 0 0 0 0 0 0 0 0 0 0 0
## [172,] 0 0 0 0 0 0 1 0 0 0 0 0
## [173,] 0 0 0 0 0 0 0 0 0 0 0 0
## [174,] 0 0 0 0 0 0 0 0 0 0 0 0
## [175,] 0 0 0 0 0 0 0 0 0 0 0 0
## [176,] 0 0 0 0 0 1 0 0 0 0 0 0
## [177,] 0 0 0 0 0 0 0 0 0 0 0 0
## [178,] 0 0 0 0 0 0 0 0 0 0 0 0
## [179,] 0 0 0 0 0 0 0 0 0 0 0 0
## [180,] 0 0 0 0 0 0 0 0 0 0 0 0
## [181,] 0 0 0 0 0 0 0 0 0 0 0 0
## [182,] 0 0 0 0 1 0 0 0 0 0 0 0
## [183,] 0 0 0 0 0 0 0 0 0 0 0 0
## [184,] 0 0 0 0 0 0 0 0 0 0 0 0
## [185,] 0 0 0 0 0 0 0 0 0 0 0 0
## [186,] 0 0 0 0 0 0 0 0 0 0 0 0
## [187,] 0 0 0 0 0 0 0 0 0 0 0 0
## [188,] 0 0 0 0 0 1 0 0 0 0 0 0
## [189,] 0 0 0 0 0 0 0 0 0 0 0 0
## [190,] 0 0 0 0 0 0 0 0 0 0 0 0
## [191,] 0 0 0 0 0 0 0 0 0 0 0 0
## [192,] 0 0 0 0 0 0 0 0 0 0 0 0
## [193,] 0 0 0 0 0 0 0 0 0 0 0 0
## [194,] 0 0 0 0 0 0 0 0 0 0 0 0
## [195,] 0 0 0 0 0 0 0 0 0 0 0 0
## [196,] 0 0 0 0 0 0 0 0 0 0 0 0
## [197,] 0 0 0 0 0 0 0 1 1 0 0 0
## [198,] 0 0 0 0 0 0 0 0 0 0 0 1
## [199,] 0 0 0 0 0 1 0 0 0 1 0 0
## [200,] 0 0 0 0 0 0 0 2 0 0 1 0
## [201,] 0 0 0 0 0 0 0 0 0 0 0 0
## [202,] 0 0 0 0 0 0 0 0 0 0 0 0
## [203,] 0 0 0 0 0 0 0 0 0 0 0 0
## [204,] 0 0 0 0 0 0 1 0 0 0 0 0
## [205,] 0 0 0 0 0 0 0 0 0 0 0 0
## [206,] 0 0 0 0 0 0 0 0 0 0 0 0
## [207,] 0 0 0 0 0 0 0 0 0 0 0 0
## [208,] 0 0 0 0 0 0 0 0 0 0 0 0
## [209,] 0 0 0 0 0 0 0 0 0 0 0 0
## [210,] 0 0 0 0 0 0 0 0 0 0 0 0
## [211,] 0 0 0 0 0 0 0 0 0 0 0 0
## [212,] 0 0 0 0 0 0 0 0 0 0 0 0
## [213,] 0 0 0 0 0 0 0 0 0 0 0 0
## [214,] 0 0 0 0 0 0 0 0 0 0 0 0
## [215,] 0 0 0 0 0 0 0 0 0 0 0 0
## [216,] 0 0 0 0 0 0 0 0 0 0 0 0
## [217,] 0 0 0 0 0 0 0 0 0 0 0 0
## [218,] 0 0 0 0 0 0 0 0 0 0 0 0
## [219,] 0 0 0 0 0 0 0 0 0 0 0 0
## [220,] 0 0 0 0 0 0 0 0 0 0 0 0
## [221,] 0 0 0 0 0 0 0 0 0 0 0 0
## [222,] 0 0 0 0 0 0 0 0 0 0 0 0
## [223,] 0 0 0 0 0 0 0 0 0 0 0 0
## [224,] 0 0 0 0 0 0 0 0 0 0 0 0
## [225,] 0 0 0 0 0 0 0 0 0 0 0 0
## [226,] 0 0 0 0 0 0 0 0 0 0 0 0
## [227,] 0 0 0 0 0 0 0 0 0 0 0 0
## [228,] 0 0 0 0 0 0 0 0 0 0 0 0
## [229,] 0 0 0 0 0 0 0 0 0 0 0 0
## [230,] 0 0 0 0 0 0 0 0 0 0 0 0
## [231,] 0 0 0 0 0 0 0 0 0 0 0 0
## [232,] 0 0 0 0 0 0 0 0 0 0 0 0
## [233,] 0 0 0 0 0 0 0 0 0 0 0 0
## [234,] 0 0 0 0 0 0 0 0 0 0 0 0
## [235,] 0 0 0 0 0 0 0 0 0 0 0 0
## [236,] 0 0 0 0 0 0 0 0 0 0 0 0
## [237,] 0 0 0 0 0 0 0 0 0 0 0 0
## [238,] 0 0 0 0 0 0 0 0 0 0 0 0
## [239,] 0 0 0 0 0 0 0 0 0 0 0 0
## [240,] 0 0 0 0 0 0 0 0 0 0 0 0
## [241,] 0 0 0 0 0 0 0 0 0 0 0 0
## [242,] 0 0 0 0 0 1 0 0 0 0 0 0
## [243,] 0 0 0 0 0 0 0 0 0 0 0 0
## [244,] 0 0 0 0 0 0 0 0 0 0 0 0
## [245,] 0 0 0 0 0 0 0 0 0 0 0 0
## [246,] 0 0 0 0 0 0 0 0 0 0 0 0
## [247,] 0 0 0 0 0 0 0 0 0 0 0 0
## [248,] 0 0 0 0 0 0 0 0 0 0 0 0
## [249,] 0 0 0 0 0 0 0 0 0 0 0 0
## [250,] 0 0 0 0 0 1 0 1 0 0 0 0
## [251,] 0 0 0 0 0 0 0 0 0 0 0 0
## [252,] 1 0 0 0 0 0 1 0 1 0 0 0
## [253,] 0 0 0 0 0 0 0 0 0 0 0 0
## [254,] 0 0 0 0 0 0 0 0 0 0 0 0
## [255,] 0 0 0 0 0 0 0 0 0 0 0 0
## [256,] 0 0 0 0 0 0 0 0 0 0 0 0
## [257,] 0 0 0 0 0 1 0 0 0 0 0 0
## [258,] 0 0 0 0 0 0 0 0 0 0 0 0
## [259,] 0 1 0 0 0 1 0 1 1 0 0 0
## [260,] 0 0 0 0 0 0 0 0 0 0 0 0
## [261,] 0 0 0 0 0 0 0 0 0 0 0 0
## [262,] 0 0 0 0 0 0 0 0 0 0 0 0
## [263,] 0 0 0 0 0 0 0 0 0 0 0 0
## [264,] 0 0 1 0 0 0 0 0 0 0 0 0
## [265,] 0 0 0 0 0 0 0 0 0 0 0 0
## [266,] 0 0 0 0 0 0 0 0 0 0 0 0
## [267,] 0 0 0 0 0 0 0 0 0 0 0 0
## [268,] 0 0 0 0 0 0 0 0 0 0 0 0
## [269,] 0 0 0 0 0 0 0 0 0 0 0 0
## [270,] 0 0 0 0 0 0 0 0 0 0 0 0
## [271,] 0 0 0 0 0 0 0 0 0 0 0 0
## [272,] 0 0 0 0 0 0 0 0 0 0 0 0
## [273,] 0 0 0 0 0 0 0 0 0 0 0 0
## [274,] 0 0 1 0 0 0 0 0 0 1 0 0
## [275,] 1 1 2 1 2 1 1 2 1 2 0 0
## [276,] 0 0 1 0 0 0 0 0 1 0 0 0
## [277,] 0 0 0 0 1 0 0 0 1 0 0 0
## [278,] 0 1 0 0 0 0 0 1 0 1 1 0
## [279,] 0 0 0 0 1 0 0 0 0 0 0 0
## [280,] 0 0 0 0 1 0 0 0 1 0 0 0
## [281,] 0 0 0 0 0 0 0 0 1 0 0 0
## [282,] 0 0 0 0 0 0 0 0 0 0 0 1
## [283,] 1 0 0 0 0 0 1 0 0 1 0 0
## [284,] 0 0 0 0 0 0 0 0 0 0 0 0
## [285,] 0 0 0 0 1 0 0 0 1 0 1 0
## [286,] 0 0 0 0 0 0 0 0 0 0 0 0
## [287,] 0 0 0 0 1 0 0 0 0 0 1 0
## [288,] 1 0 0 0 0 0 0 0 0 1 0 0
## [289,] 0 0 0 0 0 0 1 0 0 0 0 1
## [290,] 0 0 0 0 0 0 0 0 0 0 0 0
## [291,] 0 0 0 0 0 1 0 1 0 0 0 1
## [292,] 0 0 0 0 0 0 0 0 1 0 0 0
## [293,] 0 0 0 0 0 0 0 0 1 0 0 0
## [294,] 0 0 0 0 0 0 0 0 0 0 0 0
## [295,] 0 0 0 0 1 0 0 0 1 0 0 0
## [296,] 0 0 0 0 0 0 0 0 0 0 0 0
## [297,] 0 0 0 0 0 1 0 1 0 0 0 0
## [298,] 0 0 0 0 0 0 0 0 0 0 0 0
## [299,] 1 0 0 0 1 0 0 0 0 1 0 0
## [300,] 0 0 0 0 1 0 0 0 0 0 0 1
## [301,] 0 0 0 0 0 0 0 0 0 0 0 0
## [302,] 0 0 0 0 0 0 0 0 0 0 0 0
## [303,] 0 0 1 0 1 1 1 0 1 0 1 0
## [304,] 0 0 0 0 0 1 0 0 0 0 0 0
## [305,] 1 0 0 0 1 0 0 0 0 0 0 0
## [306,] 0 0 0 0 0 1 0 0 0 0 0 0
## [307,] 1 0 0 0 0 0 0 0 0 0 0 0
## [308,] 0 0 0 0 0 0 0 0 0 0 0 0
## [309,] 0 0 0 0 0 0 0 0 0 0 0 0
## [310,] 0 0 0 1 0 0 0 1 0 0 0 0
## [311,] 0 0 0 0 0 0 0 0 0 0 0 0
## [312,] 0 0 0 0 0 0 0 0 0 0 0 0
## [313,] 0 0 0 0 0 0 0 0 0 0 0 0
## [314,] 0 0 1 0 0 0 0 1 0 0 0 0
## [315,] 0 0 0 0 0 1 0 0 0 0 0 0
## [316,] 0 0 0 0 0 0 0 0 0 0 0 0
## [317,] 0 0 0 0 0 1 0 0 0 0 0 0
## [318,] 1 0 0 1 0 0 0 0 0 0 0 0
## [319,] 0 0 0 0 0 0 0 0 0 0 0 0
## [320,] 0 0 0 0 0 0 1 0 0 0 0 0
## [321,] 0 0 0 0 0 0 0 0 0 0 0 0
## [322,] 0 0 0 0 0 1 0 0 0 0 0 0
## [323,] 0 0 0 0 0 0 0 0 0 0 0 0
## [324,] 0 0 0 0 0 0 0 0 0 0 0 1
## [325,] 0 0 0 0 0 0 0 0 0 0 0 0
## [326,] 0 0 0 0 0 0 0 0 0 0 0 0
## [327,] 0 0 0 0 0 0 0 0 0 0 0 0
## [328,] 0 0 0 0 0 0 0 0 0 0 0 0
## [329,] 0 1 0 0 1 0 0 0 0 0 0 0
## [330,] 0 0 0 0 0 0 0 0 0 0 1 0
## [331,] 0 0 0 0 0 0 0 0 0 0 0 0
## [332,] 0 0 0 0 0 0 0 1 0 0 0 0
## [333,] 0 0 0 0 0 0 0 0 0 0 0 0
## [334,] 1 0 0 1 0 0 0 1 0 0 0 0
## [335,] 0 0 0 0 0 0 0 0 0 0 0 0
## [336,] 0 0 0 0 0 0 0 0 0 0 0 0
## [337,] 0 0 0 0 0 0 0 0 0 0 0 0
## [338,] 0 0 0 0 0 0 0 0 0 0 0 0
## [339,] 0 0 0 0 0 0 0 0 0 0 1 0
## [340,] 0 0 0 0 0 0 0 0 0 0 0 0
## [341,] 0 0 0 0 0 0 0 0 0 0 0 0
## [342,] 0 0 0 0 0 0 0 0 0 0 0 0
## [343,] 0 0 0 0 0 0 0 0 0 0 0 0
## [344,] 0 0 0 0 1 0 0 0 0 0 0 0
## [345,] 0 0 0 0 0 0 0 0 0 0 0 0
## [346,] 0 0 0 0 0 0 0 0 0 0 0 0
## [347,] 0 0 0 0 0 0 0 0 0 0 0 0
## [348,] 0 0 0 0 0 0 0 0 0 0 0 0
## [349,] 0 0 0 0 0 0 0 0 0 0 0 0
## [350,] 0 0 0 0 0 0 0 0 0 0 0 0
## [351,] 0 0 0 0 0 0 0 0 0 0 0 0
## [352,] 0 0 0 0 0 0 0 0 0 0 0 0
## [353,] 0 0 0 0 0 0 0 0 0 0 0 0
## [354,] 0 0 0 0 0 0 0 0 0 0 0 0
## [355,] 0 0 0 0 0 0 0 0 0 0 0 0
## [356,] 0 0 0 0 0 0 0 0 0 0 0 0
## [357,] 0 0 0 0 0 0 0 0 0 0 0 0
## [358,] 0 0 0 0 0 0 0 0 0 0 0 0
## [359,] 0 0 0 0 0 0 0 0 0 0 0 0
## [360,] 0 0 0 0 0 0 0 0 0 0 0 0
## [361,] 0 0 0 0 0 0 0 0 0 0 0 0
## [362,] 0 0 0 0 0 0 0 0 0 0 0 0
## [363,] 0 0 0 0 0 0 1 0 0 1 0 0
## [364,] 0 0 0 0 0 0 0 0 1 0 0 0
## [365,] 0 0 0 0 0 0 0 0 0 0 0 0
## [366,] 0 0 0 0 0 0 1 0 0 0 0 0
## [367,] 0 0 0 0 0 0 0 0 0 0 0 0
## [368,] 0 0 0 0 0 0 0 0 0 0 0 0
## [369,] 0 0 0 0 0 0 0 0 0 0 0 3
## [370,] 0 0 0 0 0 0 0 0 0 0 0 0
## [371,] 1 0 0 0 0 1 1 0 0 0 0 0
## [372,] 1 0 0 0 0 0 0 0 0 0 0 0
## [373,] 0 0 0 1 0 2 0 1 0 0 1 0
## [374,] 0 0 0 0 0 0 0 0 0 0 0 0
## [375,] 0 0 0 0 0 0 0 0 0 0 0 0
## [376,] 0 0 0 0 0 0 0 0 0 0 0 0
## [377,] 0 0 0 0 0 0 0 0 0 0 0 0
## [378,] 0 0 0 1 0 0 0 1 0 0 0 1
## [379,] 0 0 0 0 0 0 0 0 0 0 0 0
## [380,] 0 0 0 0 0 0 0 0 0 0 0 0
## [381,] 0 0 0 0 0 0 0 0 0 0 0 0
## [382,] 0 0 0 0 0 0 0 0 0 0 0 0
## [383,] 0 0 0 0 0 0 0 0 0 0 0 0
## [384,] 0 0 0 0 0 0 0 0 0 0 0 0
## [385,] 0 0 0 0 0 0 0 0 0 0 0 0
## [386,] 0 0 0 0 0 0 0 0 0 0 0 0
## [387,] 0 0 0 0 0 0 0 0 0 0 0 0
## [388,] 0 0 0 0 1 0 0 1 0 0 0 0
## [389,] 0 0 0 0 0 0 0 0 0 0 0 0
## [390,] 0 0 1 0 0 0 0 0 1 0 0 0
## [391,] 0 0 0 0 0 0 0 0 0 0 0 0
## [392,] 0 0 0 0 0 0 0 0 0 0 0 0
## [393,] 0 0 0 0 0 0 0 0 0 0 0 0
## [394,] 0 0 0 0 0 0 0 0 0 0 0 0
## [395,] 0 0 0 0 0 0 0 0 0 0 0 0
## [396,] 0 0 0 0 0 0 0 0 0 0 0 1
## [397,] 0 0 0 0 0 0 0 0 0 0 0 0
## [398,] 0 0 0 0 0 0 0 0 0 0 0 0
## [399,] 0 0 0 0 0 0 0 0 0 0 0 0
## [400,] 0 0 0 0 0 0 0 0 0 0 0 0
## [401,] 1 0 0 0 0 0 0 1 0 0 0 0
## [402,] 0 0 0 0 0 0 0 0 0 0 0 0
## [403,] 0 0 0 0 0 0 0 0 0 0 0 0
## [404,] 0 0 1 0 0 0 0 0 0 1 1 0
## [405,] 0 0 0 0 0 0 0 0 0 0 0 0
## [406,] 0 0 1 0 0 0 0 0 0 0 0 0
## [407,] 0 0 0 0 0 0 0 0 1 0 0 0
## [408,] 0 0 0 0 0 0 0 0 0 0 1 0
## [409,] 0 0 0 0 0 0 0 0 0 0 0 0
## [410,] 0 0 1 0 0 1 0 0 0 0 0 0
## [411,] 0 0 0 0 0 1 0 0 0 0 0 0
## [412,] 0 0 0 0 0 0 0 0 0 0 0 0
## [413,] 0 0 0 0 0 0 0 0 0 0 0 0
## [414,] 0 0 0 0 0 0 0 0 0 0 0 0
## [415,] 0 0 0 0 0 0 0 0 0 0 0 0
## [416,] 0 0 0 0 0 0 0 0 0 0 0 0
## [417,] 0 0 0 0 0 0 0 0 0 0 0 0
## [418,] 0 0 0 0 0 0 0 0 0 0 0 0
## [419,] 0 0 0 0 0 0 0 0 0 0 0 0
## [420,] 0 0 0 0 0 0 0 0 0 0 0 0
## [421,] 0 0 0 0 0 0 0 0 0 0 0 0
## [422,] 0 0 0 0 0 0 0 0 0 0 0 0
## [423,] 0 0 0 0 0 0 0 0 0 0 0 0
## [424,] 0 0 0 0 0 0 0 0 0 0 0 0
## [425,] 0 0 0 0 0 0 0 0 0 0 0 0
## [426,] 0 0 0 0 0 0 0 0 0 0 0 0
## [427,] 0 0 0 0 0 0 0 0 0 0 0 0
## [428,] 0 0 0 0 0 0 0 0 0 0 0 0
## [429,] 0 0 0 0 0 0 0 0 0 0 0 0
## [430,] 0 0 0 0 0 0 0 0 0 0 0 0
## [431,] 0 0 0 0 0 0 0 0 0 0 0 0
## [432,] 0 0 0 0 0 0 0 0 0 0 0 0
## [433,] 0 0 0 0 0 0 0 0 0 0 0 0
## [434,] 0 0 0 0 0 0 0 0 0 0 0 0
## [435,] 0 0 0 0 0 0 0 0 0 0 0 0
## [436,] 1 0 0 1 1 0 0 0 0 0 0 1
## [437,] 1 0 1 0 0 0 0 0 0 0 0 1
## [438,] 0 0 0 1 1 0 0 0 0 0 0 1
## [439,] 0 0 0 0 0 0 0 0 0 0 0 0
## [440,] 0 0 0 0 0 0 0 0 0 0 0 0
## [441,] 0 0 0 0 0 0 0 0 0 0 0 0
## [442,] 0 0 0 0 0 0 0 0 0 0 0 0
## [443,] 0 0 0 0 0 0 0 0 0 0 0 0
## [444,] 0 0 0 0 0 0 0 0 0 0 0 0
## [445,] 0 0 0 0 0 0 0 0 0 0 0 0
## [446,] 0 0 0 0 0 0 0 0 0 0 0 0
## [447,] 0 0 0 0 0 0 0 0 0 0 0 0
## [448,] 0 0 0 0 0 0 0 0 0 1 0 0
## [449,] 0 0 0 0 0 0 0 0 0 0 0 0
## [450,] 1 0 0 0 0 0 0 0 0 0 0 0
## [451,] 0 0 0 0 1 0 0 0 0 0 0 0
## [452,] 0 0 0 0 0 0 0 0 0 0 0 0
## [453,] 0 0 0 0 1 0 0 0 0 0 0 1
## [454,] 0 0 0 0 0 0 0 0 0 0 0 0
## [455,] 0 0 0 0 0 0 0 0 0 0 0 0
## [456,] 0 0 0 0 0 0 0 0 0 0 0 0
## [457,] 0 0 0 0 0 0 0 0 0 0 0 0
## [458,] 0 0 0 0 0 0 0 0 0 0 0 0
## [459,] 0 0 0 0 0 0 0 0 0 0 0 0
## [460,] 0 0 0 0 0 1 1 0 1 0 0 0
## [461,] 0 0 0 0 0 0 0 0 0 0 0 0
## [462,] 0 0 0 2 0 0 0 0 0 0 0 0
## [463,] 0 0 0 0 0 0 0 0 0 0 0 0
## [464,] 0 0 0 0 0 0 0 0 0 0 0 0
## [465,] 0 0 0 0 0 0 0 0 0 0 0 0
## [466,] 0 0 1 0 1 0 0 0 0 0 0 0
## [467,] 0 0 0 0 1 0 0 0 0 0 0 0
## [468,] 1 0 0 0 0 1 0 0 0 1 1 0
## [469,] 0 0 0 0 0 0 0 0 0 0 0 0
## [470,] 0 0 0 0 0 0 0 0 0 0 0 0
## [471,] 1 0 0 1 0 0 1 0 0 0 1 0
## [472,] 0 0 0 0 0 0 0 0 0 0 0 0
## [473,] 0 0 0 0 0 0 0 0 0 0 0 0
## [474,] 0 0 0 0 0 0 0 1 0 0 0 0
## [475,] 0 0 0 0 0 0 0 0 0 0 0 0
## [476,] 1 0 0 0 0 1 0 0 0 0 0 0
## [477,] 0 0 0 0 0 0 0 0 0 0 0 0
## [478,] 0 0 0 0 0 0 0 0 0 0 0 0
## [479,] 0 0 1 0 0 0 0 1 0 0 0 1
## [480,] 0 0 0 0 0 0 0 0 0 0 0 0
## [481,] 0 0 0 0 0 0 0 0 0 0 0 0
## [482,] 0 0 0 0 0 0 0 0 0 0 0 0
## [483,] 0 0 0 0 0 0 0 0 0 0 0 0
## [484,] 0 0 0 0 0 0 0 0 0 0 0 0
## [485,] 1 1 0 1 1 0 1 0 0 1 0 1
## [486,] 0 0 0 0 0 0 0 0 0 0 0 0
## [487,] 1 0 1 0 0 0 0 0 0 0 0 0
## [488,] 0 0 0 0 0 0 0 0 0 0 0 0
## [489,] 0 0 0 0 0 0 0 0 0 0 0 0
## [490,] 0 0 1 1 0 0 0 0 0 2 0 0
## [491,] 0 0 0 0 0 0 0 0 0 0 0 0
## [492,] 0 0 1 0 0 1 0 0 1 0 0 0
## [493,] 0 0 0 0 0 0 0 0 0 0 0 0
## [494,] 0 0 0 0 0 0 0 0 0 0 0 1
## [495,] 0 0 0 0 0 0 1 0 0 0 0 0
## [496,] 0 0 0 0 0 0 0 0 0 0 0 0
## [497,] 0 0 0 0 0 0 0 0 0 0 0 0
## [498,] 0 0 0 0 0 0 0 0 0 0 0 0
## [499,] 0 0 0 0 0 0 0 0 0 0 0 0
## [500,] 0 0 0 0 0 0 0 0 0 0 0 0
## [501,] 0 0 0 0 0 1 0 0 0 0 0 0
## [502,] 0 0 0 0 0 0 0 0 0 0 0 0
## [503,] 0 0 0 0 0 0 0 0 0 0 0 0
## [504,] 0 0 0 0 0 0 0 0 0 0 0 0
## [505,] 0 0 0 0 0 0 0 0 0 0 0 0
## [506,] 1 0 0 0 0 1 1 0 2 0 0 0
## [507,] 0 0 0 0 0 0 0 0 0 0 0 0
## [508,] 0 0 0 0 0 0 0 0 0 0 0 0
## [509,] 0 0 0 0 0 0 0 0 0 0 0 0
## [510,] 0 1 0 0 0 0 1 0 0 1 1 0
## [511,] 0 0 0 0 0 0 0 0 0 0 0 0
## [512,] 0 0 0 0 0 0 0 0 0 0 0 0
## [513,] 0 0 0 0 0 0 0 0 0 0 0 0
## [514,] 0 0 0 0 0 0 0 0 0 0 0 0
## [515,] 0 0 0 0 0 0 0 0 0 0 0 0
## [516,] 0 0 0 0 0 0 0 0 0 0 0 0
## [517,] 0 0 0 0 0 0 0 0 0 0 0 0
## [518,] 0 0 0 0 0 0 0 0 0 0 0 0
## [519,] 0 0 0 0 0 0 0 0 0 0 0 0
## [520,] 0 0 0 0 0 0 0 0 0 0 0 0
## [521,] 0 0 0 0 0 0 0 0 0 0 0 0
## [522,] 0 0 0 0 0 0 0 0 0 0 0 0
## [523,] 0 0 0 0 0 0 0 0 0 0 0 0
## [524,] 0 0 0 0 0 0 0 0 0 0 0 0
## [525,] 0 0 0 0 0 0 0 0 0 0 0 0
## [526,] 0 0 0 0 0 0 0 0 0 0 0 0
## [527,] 0 0 0 0 0 0 0 0 0 0 0 0
## [528,] 0 0 0 0 0 0 0 0 0 0 0 0
## [529,] 0 0 0 0 0 0 0 0 0 0 0 0
## [530,] 1 0 0 0 0 0 0 0 0 0 0 0
## [531,] 0 1 0 0 0 1 2 1 1 0 1 0
## [532,] 0 0 0 0 0 0 0 0 0 0 0 0
## [533,] 1 0 0 0 1 0 0 1 0 1 0 0
## [534,] 0 0 0 0 0 0 0 0 0 0 0 0
## [535,] 0 0 0 0 0 0 0 0 0 0 0 0
## [536,] 0 0 0 0 0 0 0 0 0 0 0 0
## [537,] 0 0 0 0 0 0 0 0 0 0 0 0
## [538,] 0 0 0 0 0 0 0 1 0 0 0 0
## [539,] 0 0 0 0 0 0 0 0 0 0 0 0
## [540,] 0 0 0 0 0 0 0 0 0 0 0 0
## [541,] 0 1 1 0 0 0 0 1 0 0 0 1
## [542,] 0 0 0 0 0 0 0 0 0 0 0 0
## [543,] 0 0 0 0 0 0 0 0 0 0 0 0
## [544,] 0 0 0 0 0 0 0 0 0 0 0 0
## [545,] 0 0 0 0 0 0 0 0 0 0 0 0
## [546,] 0 0 0 0 0 0 0 0 0 0 0 0
## [547,] 1 0 0 0 1 0 0 1 0 0 1 1
## [548,] 1 0 0 0 0 0 0 0 0 0 0 0
## [549,] 0 0 0 0 0 0 0 0 0 0 0 0
## [550,] 0 0 0 0 0 0 0 0 0 0 0 0
## [551,] 0 0 0 0 0 0 0 0 0 0 0 0
## [552,] 0 0 0 0 0 0 0 0 0 0 0 0
## [553,] 0 0 0 0 0 0 0 0 0 0 0 0
## [554,] 0 0 0 0 0 0 0 0 0 0 0 0
## [555,] 0 0 0 0 0 0 0 0 0 0 0 0
## [556,] 0 0 0 0 0 0 0 0 0 0 0 0
## [557,] 0 0 0 0 0 0 0 0 0 0 0 0
## [558,] 0 0 0 0 0 0 0 0 0 0 0 0
## [559,] 0 0 0 0 0 0 0 0 0 0 0 0
## [560,] 0 0 0 0 0 0 0 0 0 0 0 0
## [561,] 0 0 0 0 0 0 0 0 0 0 0 0
## [562,] 0 0 0 0 0 0 0 0 0 0 0 0
## [563,] 0 0 0 0 0 0 0 0 0 0 0 1
## [564,] 0 0 0 0 0 0 0 0 0 0 0 0
## [565,] 0 0 0 0 0 0 0 0 0 0 0 0
## [566,] 0 0 0 0 0 0 0 0 1 0 0 0
## [567,] 0 0 0 0 0 0 0 0 0 0 0 0
## [568,] 0 0 0 0 0 0 0 0 0 0 0 1
## [569,] 0 0 1 0 0 0 0 0 0 0 0 0
## [570,] 0 0 0 0 0 0 0 0 0 0 0 0
## [571,] 0 0 0 0 0 0 0 0 0 0 0 0
## [572,] 0 0 0 0 0 0 0 0 0 0 0 0
## [573,] 0 0 0 0 0 0 0 0 0 0 0 0
## [574,] 0 0 0 0 0 0 0 0 0 0 0 0
## [575,] 0 0 0 0 0 0 0 0 0 0 0 0
## [576,] 0 0 0 0 0 0 0 0 0 0 0 0
## [577,] 0 0 0 0 0 0 0 0 0 0 0 0
## [578,] 0 0 0 0 0 0 0 0 0 0 0 0
## [579,] 0 0 0 0 0 0 0 0 0 0 0 1
## [580,] 0 0 0 0 0 0 0 0 0 0 0 0
## [581,] 0 0 0 0 1 0 0 0 1 0 0 0
## [582,] 0 0 0 0 0 0 1 0 0 0 0 0
## [583,] 0 0 0 0 0 0 0 0 0 0 0 0
## [584,] 0 0 1 0 0 1 0 0 0 0 0 0
## [585,] 0 0 0 0 0 0 0 0 0 0 0 0
## [586,] 0 0 0 0 0 0 0 0 0 0 0 0
## [587,] 0 0 0 0 0 0 0 0 0 0 0 0
## [588,] 0 0 0 0 0 0 0 0 0 0 0 0
## [589,] 0 0 0 0 0 0 0 0 0 0 0 0
## [590,] 0 0 0 0 0 0 0 0 0 0 0 0
## [591,] 0 0 0 0 0 0 0 0 0 0 0 0
## [592,] 0 0 0 0 1 0 0 0 0 0 0 0
## [593,] 0 0 0 0 0 0 0 0 0 0 0 0
## [594,] 0 0 0 0 0 0 0 0 0 0 0 0
## [595,] 0 0 0 1 0 0 0 0 0 0 0 0
## [596,] 0 0 0 0 0 0 0 0 0 0 0 0
## [597,] 0 0 0 0 0 0 0 0 1 0 0 0
## [598,] 0 0 0 0 0 0 0 0 0 0 0 0
## [599,] 0 0 0 0 0 0 0 0 0 0 0 0
## [600,] 0 0 0 0 0 0 0 0 0 0 0 0
## [601,] 0 0 0 0 0 0 0 0 0 0 0 0
## [602,] 0 0 0 1 0 0 1 0 0 0 0 0
## [603,] 0 0 0 0 0 0 0 0 0 0 0 0
## [604,] 0 0 0 0 0 0 0 0 0 0 0 0
## [605,] 0 0 0 0 0 0 0 0 0 0 0 0
## [606,] 0 0 0 0 0 0 0 0 0 0 0 0
## [607,] 1 0 0 0 0 0 0 0 0 0 0 1
## [608,] 0 0 0 0 0 0 0 0 0 0 0 0
## [609,] 0 0 0 0 0 0 0 0 0 0 0 0
## [610,] 0 0 0 0 0 0 0 0 0 0 0 0
## [611,] 0 0 0 0 0 0 0 0 0 0 0 0
## [612,] 0 0 0 0 0 0 0 0 0 0 0 0
## [613,] 0 0 0 0 0 0 0 0 0 0 0 0
## [614,] 0 0 0 0 0 0 0 0 0 0 0 0
## [615,] 0 0 0 0 0 0 0 0 0 0 0 0
## [616,] 0 0 0 0 0 0 0 0 0 0 0 0
## [617,] 0 0 0 0 0 0 0 0 0 0 0 0
## [618,] 1 0 0 0 0 0 1 0 0 0 0 0
## [619,] 0 0 0 1 1 0 0 0 0 0 0 0
## [620,] 0 0 0 0 0 0 1 0 0 0 0 0
## [621,] 0 0 0 0 0 0 0 0 1 0 0 0
## [622,] 0 0 0 0 0 0 0 0 0 0 0 0
## [623,] 0 0 0 0 0 0 0 0 0 0 0 0
## [624,] 0 0 0 0 0 0 0 0 0 0 0 0
## [625,] 0 0 0 0 0 0 0 0 0 0 0 0
## [626,] 0 0 0 0 0 0 0 0 0 0 0 0
## [627,] 0 0 0 0 0 0 0 0 0 0 0 0
## [628,] 0 0 0 0 0 0 0 0 0 0 0 0
## [629,] 1 0 0 0 0 0 0 0 0 0 0 1
## [630,] 0 0 0 0 0 0 0 0 0 0 0 0
## [631,] 0 0 0 0 0 0 0 0 0 0 0 0
## [632,] 0 0 0 0 0 0 0 0 1 0 0 0
## [633,] 1 0 0 0 0 0 1 0 0 0 0 1
## [634,] 0 0 0 0 0 0 0 0 0 0 0 0
## [635,] 0 0 0 0 0 0 0 0 0 0 0 0
## [636,] 0 0 0 0 0 0 0 0 0 0 0 0
## [637,] 0 0 0 0 0 0 0 0 0 0 0 0
## [638,] 0 0 0 0 0 0 0 0 0 0 0 1
## [639,] 0 0 0 0 0 0 0 0 0 0 0 0
## [640,] 0 0 0 0 0 0 0 0 0 0 0 0
## [641,] 0 0 0 0 0 0 0 0 0 0 0 0
## [642,] 0 0 0 0 0 0 0 0 1 0 0 1
## [643,] 0 0 0 0 0 0 0 0 2 0 0 0
## [644,] 1 0 0 0 0 0 0 0 0 0 0 0
## [645,] 0 0 0 0 0 0 0 0 0 0 0 0
## [646,] 0 0 0 0 0 0 0 0 0 0 0 0
## [647,] 0 0 0 0 0 0 0 0 0 0 0 0
## [648,] 0 0 0 0 0 0 0 0 0 0 0 0
## [649,] 0 0 0 0 0 0 0 0 0 0 0 0
## [650,] 0 0 0 0 0 0 0 0 0 0 0 0
## [651,] 1 0 0 0 1 1 0 1 1 0 0 0
## [652,] 1 0 1 0 0 0 1 0 1 0 0 1
## [653,] 1 0 0 0 0 1 0 1 0 0 0 0
## [654,] 1 1 1 2 0 1 0 1 0 0 1 0
## [655,] 1 1 1 1 0 0 1 1 0 1 1 0
## [656,] 0 0 1 0 0 0 1 0 1 0 0 0
## [657,] 1 0 0 0 1 0 0 0 1 0 0 0
## [658,] 0 0 0 1 0 0 0 0 1 0 0 0
## [659,] 0 0 0 0 0 0 0 0 0 0 0 0
## [660,] 0 0 1 2 0 0 1 1 0 1 0 1
## [661,] 0 0 1 0 0 0 1 0 0 0 0 1
## [662,] 0 0 0 0 0 0 0 0 0 0 0 0
## [663,] 1 0 0 1 0 0 0 0 0 0 1 0
## [664,] 1 0 0 1 0 0 0 1 0 0 0 1
## [665,] 0 0 0 0 0 0 0 0 0 0 0 0
## [666,] 1 0 0 0 0 0 0 0 0 0 0 0
## [667,] 0 0 0 0 0 0 0 0 0 0 0 0
## [668,] 0 0 0 0 0 0 0 0 0 0 0 0
## [669,] 0 0 0 1 0 0 0 1 0 0 0 0
## [670,] 1 0 0 0 0 0 0 0 1 0 0 1
## [671,] 0 0 0 0 0 0 0 0 0 0 0 0
## [672,] 0 0 0 0 0 0 0 0 0 0 0 0
## [673,] 0 0 0 0 0 0 0 0 0 0 0 0
## [674,] 0 0 0 0 0 0 0 0 0 0 0 0
## [675,] 0 0 0 0 0 0 0 0 0 0 0 0
## [676,] 1 1 0 1 0 1 0 1 0 0 1 0
## [677,] 0 0 0 0 0 0 1 0 0 0 0 0
## [678,] 0 0 0 0 0 0 0 0 0 0 0 0
## [679,] 0 0 0 1 1 0 0 0 0 0 0 0
## [680,] 0 0 0 0 0 0 0 0 0 0 0 0
## [681,] 0 0 0 0 0 0 0 0 0 0 0 0
## [682,] 1 0 0 0 0 0 0 1 1 0 0 0
## [683,] 0 0 0 0 0 0 0 0 0 0 0 0
## [684,] 0 0 0 1 0 0 0 0 0 0 1 0
## [685,] 0 0 0 0 0 0 0 0 0 0 0 0
## [686,] 0 0 0 0 1 2 0 0 0 1 1 0
## [687,] 0 0 0 0 1 5 4 1 0 0 0 0
## [688,] 0 0 0 0 0 0 0 0 2 0 0 0
## [689,] 0 0 0 0 0 0 0 0 0 0 0 0
## [690,] 0 0 0 0 0 0 0 0 0 0 0 0
## [691,] 0 0 0 0 0 0 0 0 0 0 0 0
## [692,] 0 0 0 0 0 0 1 0 0 0 0 0
## [693,] 0 0 0 0 0 0 0 0 0 0 0 0
## [694,] 1 0 0 0 0 0 0 0 0 0 0 0
## [695,] 0 0 0 0 0 0 0 0 0 0 0 0
## [696,] 1 0 0 0 0 0 1 0 0 0 0 0
## [697,] 0 0 0 0 0 1 0 0 0 0 0 0
## [698,] 0 0 0 0 0 1 0 0 1 0 0 0
## [699,] 0 0 0 0 0 0 0 0 0 0 0 0
## [700,] 0 0 0 0 0 0 0 0 0 0 0 0
## [701,] 0 0 0 0 0 0 0 0 0 0 0 0
## [702,] 0 0 0 0 0 0 0 1 0 0 0 0
## [703,] 1 0 0 0 0 0 0 0 0 0 0 0
## [704,] 0 0 0 0 0 0 0 0 0 0 0 0
## [705,] 0 0 0 0 0 0 0 0 0 0 0 0
## [706,] 0 0 0 0 0 0 0 0 0 0 0 0
## [707,] 0 0 0 0 0 0 0 0 0 0 0 0
## [708,] 0 0 0 0 0 0 0 0 0 0 0 0
## [709,] 0 0 0 0 0 0 0 0 0 0 0 0
## [710,] 0 0 0 0 0 0 0 0 0 0 0 0
## [711,] 0 0 1 1 0 0 0 0 0 0 0 0
## [712,] 0 0 0 0 0 0 0 0 0 0 0 0
## [713,] 1 0 0 0 0 0 0 0 0 0 0 0
## [714,] 0 0 0 0 0 0 0 0 0 0 0 0
## [715,] 0 0 0 1 0 0 0 0 0 0 0 1
## [716,] 0 0 0 0 0 0 0 0 0 0 0 0
## [717,] 0 0 0 0 0 0 0 0 0 0 0 0
## [718,] 1 0 0 0 0 0 0 0 0 0 0 0
## [719,] 0 0 0 0 0 0 0 0 0 0 0 0
## [720,] 0 0 0 0 0 0 0 0 0 0 0 0
## [721,] 0 0 0 0 0 0 0 0 0 0 0 0
## [722,] 0 0 0 0 0 0 0 0 0 0 0 0
## [723,] 0 0 0 0 0 0 0 0 0 0 0 0
## [724,] 0 0 0 0 0 0 0 0 0 0 0 0
## [725,] 0 0 0 0 0 0 0 0 0 0 0 0
## [726,] 0 0 0 0 0 0 0 0 0 0 0 0
## [727,] 0 0 0 0 0 0 0 0 0 0 0 0
## [728,] 0 0 0 0 0 0 0 0 0 0 0 0
## [729,] 0 0 0 1 0 0 0 0 1 0 0 0
## [730,] 0 0 0 0 0 0 0 0 0 0 0 0
## [731,] 0 0 0 0 0 0 0 0 0 0 0 0
## [732,] 0 0 0 0 0 0 0 0 0 0 0 0
## [733,] 0 0 0 0 0 0 0 0 0 0 0 0
## [734,] 0 0 0 0 0 0 0 0 0 0 0 0
## [,38] [,39] [,40]
## [1,] 0 0 0
## [2,] 0 0 0
## [3,] 0 0 0
## [4,] 0 0 0
## [5,] 0 0 0
## [6,] 0 0 0
## [7,] 0 0 0
## [8,] 0 0 0
## [9,] 0 0 0
## [10,] 0 0 0
## [11,] 0 0 0
## [12,] 0 0 0
## [13,] 0 0 0
## [14,] 0 0 0
## [15,] 0 0 0
## [16,] 0 0 0
## [17,] 0 0 0
## [18,] 0 0 0
## [19,] 0 0 0
## [20,] 0 0 0
## [21,] 0 0 0
## [22,] 1 0 0
## [23,] 0 0 0
## [24,] 0 0 0
## [25,] 0 0 0
## [26,] 0 0 0
## [27,] 0 0 0
## [28,] 0 0 0
## [29,] 0 0 0
## [30,] 0 0 0
## [31,] 0 0 0
## [32,] 0 0 0
## [33,] 0 0 0
## [34,] 0 0 0
## [35,] 0 0 0
## [36,] 0 0 0
## [37,] 1 1 0
## [38,] 0 0 0
## [39,] 0 0 0
## [40,] 0 0 0
## [41,] 0 0 0
## [42,] 0 0 0
## [43,] 0 0 0
## [44,] 0 0 0
## [45,] 0 0 0
## [46,] 0 0 0
## [47,] 0 0 0
## [48,] 0 0 0
## [49,] 0 0 0
## [50,] 0 0 0
## [51,] 0 0 0
## [52,] 0 0 0
## [53,] 0 0 0
## [54,] 0 0 0
## [55,] 0 0 0
## [56,] 0 0 0
## [57,] 0 0 0
## [58,] 0 0 0
## [59,] 0 0 0
## [60,] 0 0 0
## [61,] 0 0 0
## [62,] 0 0 0
## [63,] 1 0 0
## [64,] 0 0 0
## [65,] 0 0 0
## [66,] 0 0 0
## [67,] 0 0 0
## [68,] 0 0 0
## [69,] 0 0 0
## [70,] 0 0 0
## [71,] 0 0 0
## [72,] 0 0 0
## [73,] 0 0 0
## [74,] 0 0 0
## [75,] 1 0 0
## [76,] 0 0 0
## [77,] 0 0 0
## [78,] 0 0 0
## [79,] 0 1 0
## [80,] 1 0 0
## [81,] 0 0 0
## [82,] 0 0 0
## [83,] 0 0 0
## [84,] 0 0 0
## [85,] 0 0 0
## [86,] 0 0 0
## [87,] 0 0 0
## [88,] 0 0 0
## [89,] 0 0 0
## [90,] 0 0 0
## [91,] 0 0 0
## [92,] 0 0 0
## [93,] 0 0 0
## [94,] 0 0 0
## [95,] 0 0 0
## [96,] 0 0 0
## [97,] 0 0 0
## [98,] 0 0 0
## [99,] 0 0 0
## [100,] 0 0 0
## [101,] 0 0 0
## [102,] 0 0 0
## [103,] 0 0 0
## [104,] 0 0 0
## [105,] 0 0 0
## [106,] 0 0 0
## [107,] 0 0 0
## [108,] 0 0 0
## [109,] 0 0 0
## [110,] 0 0 0
## [111,] 0 0 0
## [112,] 0 0 0
## [113,] 0 0 0
## [114,] 0 0 0
## [115,] 0 0 1
## [116,] 0 0 0
## [117,] 0 0 0
## [118,] 0 0 0
## [119,] 0 0 0
## [120,] 0 0 0
## [121,] 0 0 0
## [122,] 0 0 0
## [123,] 0 0 0
## [124,] 0 0 0
## [125,] 0 0 0
## [126,] 0 0 0
## [127,] 0 0 0
## [128,] 0 0 0
## [129,] 0 0 0
## [130,] 0 0 0
## [131,] 0 0 0
## [132,] 0 0 0
## [133,] 0 0 0
## [134,] 0 0 0
## [135,] 0 0 0
## [136,] 0 0 0
## [137,] 0 0 0
## [138,] 3 0 0
## [139,] 0 0 0
## [140,] 0 0 0
## [141,] 0 0 0
## [142,] 0 0 0
## [143,] 0 0 0
## [144,] 1 0 0
## [145,] 0 0 0
## [146,] 0 0 0
## [147,] 0 0 0
## [148,] 0 0 0
## [149,] 0 0 0
## [150,] 0 0 0
## [151,] 0 0 0
## [152,] 0 0 0
## [153,] 0 0 0
## [154,] 0 0 0
## [155,] 0 0 0
## [156,] 0 0 0
## [157,] 0 0 0
## [158,] 0 1 0
## [159,] 0 0 0
## [160,] 0 0 0
## [161,] 0 0 0
## [162,] 0 0 0
## [163,] 0 0 0
## [164,] 0 0 0
## [165,] 0 0 0
## [166,] 0 0 0
## [167,] 0 0 0
## [168,] 0 0 0
## [169,] 0 0 0
## [170,] 0 0 0
## [171,] 0 0 0
## [172,] 0 0 0
## [173,] 0 0 0
## [174,] 0 0 0
## [175,] 0 0 0
## [176,] 0 0 0
## [177,] 0 0 0
## [178,] 0 0 0
## [179,] 0 0 0
## [180,] 0 0 0
## [181,] 0 0 0
## [182,] 0 0 0
## [183,] 0 0 0
## [184,] 0 0 0
## [185,] 0 0 0
## [186,] 0 0 0
## [187,] 0 0 0
## [188,] 0 0 0
## [189,] 0 0 0
## [190,] 0 0 0
## [191,] 0 0 0
## [192,] 0 0 0
## [193,] 0 0 0
## [194,] 0 0 0
## [195,] 0 0 0
## [196,] 0 0 0
## [197,] 0 0 0
## [198,] 0 0 0
## [199,] 0 0 0
## [200,] 0 0 0
## [201,] 0 0 0
## [202,] 0 0 0
## [203,] 0 0 0
## [204,] 0 0 0
## [205,] 0 0 0
## [206,] 0 0 0
## [207,] 0 0 0
## [208,] 0 0 0
## [209,] 0 0 0
## [210,] 0 0 0
## [211,] 0 0 0
## [212,] 0 0 0
## [213,] 0 0 0
## [214,] 0 0 0
## [215,] 0 0 0
## [216,] 0 0 0
## [217,] 0 0 0
## [218,] 0 0 0
## [219,] 0 0 0
## [220,] 0 0 0
## [221,] 0 0 0
## [222,] 0 0 0
## [223,] 0 0 0
## [224,] 0 0 0
## [225,] 0 0 0
## [226,] 0 0 0
## [227,] 0 0 0
## [228,] 0 0 0
## [229,] 0 0 0
## [230,] 0 0 0
## [231,] 0 0 1
## [232,] 0 0 1
## [233,] 0 0 0
## [234,] 0 0 0
## [235,] 0 0 0
## [236,] 0 0 0
## [237,] 0 0 0
## [238,] 0 0 0
## [239,] 0 0 0
## [240,] 0 0 0
## [241,] 0 0 0
## [242,] 0 0 0
## [243,] 0 0 0
## [244,] 0 0 0
## [245,] 0 0 0
## [246,] 0 0 0
## [247,] 0 0 0
## [248,] 0 0 0
## [249,] 0 0 0
## [250,] 0 1 0
## [251,] 0 0 0
## [252,] 0 0 0
## [253,] 0 0 0
## [254,] 0 0 0
## [255,] 0 0 0
## [256,] 0 0 0
## [257,] 0 0 0
## [258,] 0 0 0
## [259,] 0 1 0
## [260,] 0 0 0
## [261,] 0 0 0
## [262,] 0 0 0
## [263,] 0 1 0
## [264,] 1 0 0
## [265,] 0 0 0
## [266,] 0 0 0
## [267,] 0 0 0
## [268,] 0 0 0
## [269,] 0 0 0
## [270,] 0 0 0
## [271,] 0 0 0
## [272,] 0 0 0
## [273,] 0 0 0
## [274,] 0 0 0
## [275,] 1 0 1
## [276,] 0 0 0
## [277,] 1 0 0
## [278,] 0 0 0
## [279,] 0 0 0
## [280,] 1 0 1
## [281,] 0 0 0
## [282,] 0 0 0
## [283,] 0 1 0
## [284,] 0 0 1
## [285,] 0 0 0
## [286,] 0 0 0
## [287,] 0 0 0
## [288,] 1 0 0
## [289,] 0 0 1
## [290,] 0 0 0
## [291,] 1 0 1
## [292,] 0 0 0
## [293,] 0 0 0
## [294,] 0 0 0
## [295,] 0 0 0
## [296,] 0 0 0
## [297,] 1 0 0
## [298,] 0 0 0
## [299,] 1 0 1
## [300,] 0 1 1
## [301,] 0 0 0
## [302,] 0 0 0
## [303,] 0 1 0
## [304,] 0 0 0
## [305,] 0 0 0
## [306,] 0 0 0
## [307,] 0 0 0
## [308,] 0 0 0
## [309,] 0 0 0
## [310,] 0 0 1
## [311,] 0 0 0
## [312,] 0 0 0
## [313,] 0 0 0
## [314,] 0 0 0
## [315,] 0 1 0
## [316,] 0 0 0
## [317,] 0 0 0
## [318,] 0 0 0
## [319,] 0 0 0
## [320,] 1 0 0
## [321,] 0 0 0
## [322,] 0 0 0
## [323,] 0 0 0
## [324,] 0 0 0
## [325,] 0 0 0
## [326,] 0 0 0
## [327,] 0 0 0
## [328,] 0 0 0
## [329,] 0 0 0
## [330,] 0 0 0
## [331,] 0 0 0
## [332,] 0 0 0
## [333,] 0 0 0
## [334,] 0 0 0
## [335,] 0 0 0
## [336,] 0 0 0
## [337,] 0 0 0
## [338,] 0 0 0
## [339,] 0 0 0
## [340,] 0 0 0
## [341,] 0 0 0
## [342,] 0 0 0
## [343,] 0 0 0
## [344,] 0 0 0
## [345,] 0 0 0
## [346,] 0 0 0
## [347,] 0 0 0
## [348,] 0 0 0
## [349,] 0 0 0
## [350,] 0 0 0
## [351,] 0 0 0
## [352,] 0 0 0
## [353,] 0 0 0
## [354,] 0 0 0
## [355,] 0 0 0
## [356,] 0 0 0
## [357,] 0 0 0
## [358,] 0 0 0
## [359,] 0 0 0
## [360,] 0 0 0
## [361,] 0 0 0
## [362,] 0 0 0
## [363,] 0 0 0
## [364,] 0 0 0
## [365,] 0 0 0
## [366,] 0 0 0
## [367,] 0 0 0
## [368,] 0 0 0
## [369,] 3 4 4
## [370,] 0 0 0
## [371,] 0 0 0
## [372,] 0 0 0
## [373,] 0 0 1
## [374,] 0 0 0
## [375,] 0 0 0
## [376,] 0 0 0
## [377,] 0 0 0
## [378,] 0 0 0
## [379,] 0 0 0
## [380,] 0 0 0
## [381,] 0 0 0
## [382,] 0 0 0
## [383,] 0 0 0
## [384,] 0 0 0
## [385,] 0 0 0
## [386,] 0 0 0
## [387,] 0 0 0
## [388,] 0 0 0
## [389,] 0 0 0
## [390,] 1 0 0
## [391,] 0 0 0
## [392,] 0 0 0
## [393,] 0 0 0
## [394,] 0 0 0
## [395,] 0 0 0
## [396,] 0 0 0
## [397,] 0 0 0
## [398,] 0 0 0
## [399,] 0 0 0
## [400,] 0 0 0
## [401,] 0 0 0
## [402,] 0 1 0
## [403,] 0 0 0
## [404,] 0 0 0
## [405,] 0 0 0
## [406,] 0 0 0
## [407,] 0 0 0
## [408,] 0 0 0
## [409,] 0 0 0
## [410,] 0 1 0
## [411,] 0 0 0
## [412,] 0 0 0
## [413,] 0 0 0
## [414,] 0 0 1
## [415,] 0 0 0
## [416,] 0 0 0
## [417,] 0 0 0
## [418,] 0 0 0
## [419,] 0 0 0
## [420,] 0 0 0
## [421,] 0 0 0
## [422,] 0 0 0
## [423,] 0 0 0
## [424,] 0 0 0
## [425,] 0 0 0
## [426,] 0 0 0
## [427,] 0 0 0
## [428,] 0 0 0
## [429,] 0 0 0
## [430,] 0 0 0
## [431,] 0 0 0
## [432,] 1 0 0
## [433,] 0 0 0
## [434,] 0 0 0
## [435,] 0 0 0
## [436,] 0 0 0
## [437,] 0 1 0
## [438,] 1 0 0
## [439,] 0 0 0
## [440,] 0 0 0
## [441,] 0 0 0
## [442,] 0 0 0
## [443,] 0 0 0
## [444,] 0 0 0
## [445,] 0 0 0
## [446,] 0 0 0
## [447,] 0 0 0
## [448,] 0 0 0
## [449,] 0 0 0
## [450,] 0 0 0
## [451,] 0 0 0
## [452,] 0 0 0
## [453,] 0 0 0
## [454,] 0 0 0
## [455,] 0 0 0
## [456,] 0 0 0
## [457,] 0 0 0
## [458,] 0 0 0
## [459,] 0 0 0
## [460,] 0 0 0
## [461,] 0 0 0
## [462,] 0 1 1
## [463,] 0 0 0
## [464,] 0 0 0
## [465,] 0 0 0
## [466,] 0 0 0
## [467,] 0 0 0
## [468,] 0 0 0
## [469,] 0 0 0
## [470,] 0 0 0
## [471,] 0 0 1
## [472,] 0 0 0
## [473,] 0 0 0
## [474,] 0 0 1
## [475,] 1 0 0
## [476,] 0 0 0
## [477,] 0 0 0
## [478,] 0 0 0
## [479,] 0 1 0
## [480,] 0 0 0
## [481,] 0 0 0
## [482,] 0 0 0
## [483,] 0 0 0
## [484,] 0 0 0
## [485,] 0 0 1
## [486,] 0 0 0
## [487,] 0 0 0
## [488,] 0 0 0
## [489,] 0 0 0
## [490,] 1 0 0
## [491,] 0 0 0
## [492,] 0 0 0
## [493,] 0 0 0
## [494,] 0 0 0
## [495,] 0 0 0
## [496,] 0 0 0
## [497,] 0 0 0
## [498,] 0 0 0
## [499,] 0 0 0
## [500,] 0 0 0
## [501,] 0 0 0
## [502,] 0 0 0
## [503,] 0 0 0
## [504,] 0 0 0
## [505,] 0 0 0
## [506,] 0 0 0
## [507,] 0 0 0
## [508,] 0 0 0
## [509,] 0 0 0
## [510,] 0 0 0
## [511,] 0 0 0
## [512,] 0 0 0
## [513,] 0 0 0
## [514,] 0 0 0
## [515,] 0 0 0
## [516,] 0 0 0
## [517,] 0 0 0
## [518,] 0 0 0
## [519,] 0 0 0
## [520,] 0 0 0
## [521,] 0 0 0
## [522,] 0 0 0
## [523,] 0 0 0
## [524,] 0 0 0
## [525,] 0 0 0
## [526,] 0 0 0
## [527,] 0 0 0
## [528,] 0 0 0
## [529,] 0 0 0
## [530,] 0 0 0
## [531,] 0 0 0
## [532,] 0 0 0
## [533,] 0 0 0
## [534,] 0 0 0
## [535,] 0 0 0
## [536,] 0 0 0
## [537,] 0 0 0
## [538,] 0 0 0
## [539,] 0 0 0
## [540,] 0 0 0
## [541,] 1 0 0
## [542,] 0 0 0
## [543,] 0 0 0
## [544,] 0 0 0
## [545,] 0 0 0
## [546,] 0 0 0
## [547,] 1 0 0
## [548,] 1 0 0
## [549,] 0 0 0
## [550,] 0 0 0
## [551,] 0 0 0
## [552,] 0 0 0
## [553,] 0 0 0
## [554,] 0 0 0
## [555,] 0 0 0
## [556,] 0 0 0
## [557,] 0 0 0
## [558,] 0 0 0
## [559,] 0 0 0
## [560,] 0 0 0
## [561,] 0 0 0
## [562,] 0 0 0
## [563,] 0 0 0
## [564,] 0 0 0
## [565,] 0 0 0
## [566,] 0 0 0
## [567,] 0 0 0
## [568,] 0 0 1
## [569,] 0 0 0
## [570,] 0 0 0
## [571,] 0 0 0
## [572,] 0 0 0
## [573,] 0 0 0
## [574,] 0 0 0
## [575,] 0 0 0
## [576,] 0 0 0
## [577,] 0 0 0
## [578,] 0 0 0
## [579,] 0 0 0
## [580,] 0 0 0
## [581,] 0 0 1
## [582,] 0 0 0
## [583,] 0 0 0
## [584,] 0 0 0
## [585,] 0 0 0
## [586,] 0 0 0
## [587,] 0 0 0
## [588,] 0 0 0
## [589,] 0 0 0
## [590,] 0 0 0
## [591,] 0 0 0
## [592,] 0 0 0
## [593,] 0 0 0
## [594,] 0 0 0
## [595,] 0 0 0
## [596,] 0 0 0
## [597,] 0 0 0
## [598,] 0 0 0
## [599,] 1 0 0
## [600,] 0 0 0
## [601,] 0 0 0
## [602,] 0 0 0
## [603,] 0 0 0
## [604,] 0 0 0
## [605,] 0 0 0
## [606,] 0 0 0
## [607,] 0 0 0
## [608,] 0 0 0
## [609,] 0 0 0
## [610,] 0 0 0
## [611,] 0 0 0
## [612,] 0 0 0
## [613,] 0 0 0
## [614,] 0 2 0
## [615,] 0 0 0
## [616,] 0 0 0
## [617,] 0 0 0
## [618,] 0 0 0
## [619,] 0 0 0
## [620,] 0 0 0
## [621,] 0 0 0
## [622,] 1 0 0
## [623,] 0 0 0
## [624,] 0 0 0
## [625,] 0 0 0
## [626,] 0 0 0
## [627,] 0 0 0
## [628,] 0 0 0
## [629,] 0 0 0
## [630,] 0 0 0
## [631,] 0 0 0
## [632,] 0 0 0
## [633,] 0 0 0
## [634,] 0 0 0
## [635,] 0 0 0
## [636,] 0 0 0
## [637,] 0 0 0
## [638,] 0 0 0
## [639,] 0 0 0
## [640,] 0 0 0
## [641,] 0 0 0
## [642,] 0 0 0
## [643,] 0 0 0
## [644,] 0 0 0
## [645,] 0 0 0
## [646,] 0 0 0
## [647,] 0 0 0
## [648,] 0 0 0
## [649,] 0 0 0
## [650,] 0 0 0
## [651,] 0 0 0
## [652,] 0 0 0
## [653,] 0 0 0
## [654,] 0 1 0
## [655,] 1 1 0
## [656,] 1 0 0
## [657,] 1 2 0
## [658,] 0 0 0
## [659,] 0 0 1
## [660,] 0 0 1
## [661,] 0 0 1
## [662,] 0 0 0
## [663,] 0 0 0
## [664,] 1 0 0
## [665,] 0 0 0
## [666,] 0 0 0
## [667,] 0 0 0
## [668,] 0 0 0
## [669,] 0 0 0
## [670,] 0 1 0
## [671,] 0 0 0
## [672,] 0 0 0
## [673,] 0 0 0
## [674,] 0 0 0
## [675,] 0 0 0
## [676,] 0 1 0
## [677,] 1 0 0
## [678,] 0 0 0
## [679,] 1 0 1
## [680,] 0 0 0
## [681,] 0 1 0
## [682,] 0 0 0
## [683,] 0 0 0
## [684,] 0 0 0
## [685,] 0 0 0
## [686,] 0 0 0
## [687,] 0 0 0
## [688,] 0 0 0
## [689,] 0 0 0
## [690,] 0 0 0
## [691,] 0 0 0
## [692,] 0 1 0
## [693,] 0 0 0
## [694,] 0 0 0
## [695,] 0 0 0
## [696,] 1 0 0
## [697,] 0 0 0
## [698,] 0 0 0
## [699,] 0 0 0
## [700,] 0 0 0
## [701,] 0 0 0
## [702,] 0 0 0
## [703,] 0 0 0
## [704,] 0 0 0
## [705,] 0 0 0
## [706,] 0 0 0
## [707,] 0 0 0
## [708,] 0 0 0
## [709,] 0 0 0
## [710,] 0 0 0
## [711,] 0 0 1
## [712,] 0 0 0
## [713,] 0 0 0
## [714,] 0 0 0
## [715,] 1 0 0
## [716,] 0 0 0
## [717,] 0 0 0
## [718,] 0 0 0
## [719,] 0 0 0
## [720,] 0 0 0
## [721,] 0 0 0
## [722,] 0 0 0
## [723,] 0 0 0
## [724,] 0 0 0
## [725,] 0 0 0
## [726,] 0 0 0
## [727,] 0 0 0
## [728,] 0 0 0
## [729,] 1 0 1
## [730,] 0 0 0
## [731,] 0 0 0
## [732,] 0 0 0
## [733,] 0 0 0
## [734,] 0 0 0session[[1]]$brain_area[1]## [1] "ACA"average_spike_area <- function(trials, this_session) {
# Initialize an empty list to store results
results_list <- list()
# Loop through each trial in the provided trials
for (i.t in trials) {
spk.trial <- this_session$spks[[i.t]]
area <- this_session$brain_area
spk.count <- apply(spk.trial, 1, sum)
spk.average <- tapply(spk.count, area, mean)
# Convert to data frame and store trial index
trial_df <- data.frame(
trial = i.t,
brain_area = names(spk.average),
avg_spike_count = as.numeric(spk.average)
)
results_list[[i.t]] <- trial_df
}
# Combine all results into a single data frame
results_df <- do.call(rbind, results_list)
return(results_df)
}
i = 2
trial_indices <- 1:(length(session[[i]]$feedback_type)) # Example: trials 1 through 10
results_df <- average_spike_area(trial_indices, session[[i]])
print(results_df)## trial brain_area avg_spike_count
## 1 1 CA1 1.1210526
## 2 1 POST 1.8167539
## 3 1 root 1.5384615
## 4 1 VISl 1.3982684
## 5 1 VISpm 2.0000000
## 6 2 CA1 0.8368421
## 7 2 POST 1.0366492
## 8 2 root 0.9358974
## 9 2 VISl 0.9740260
## 10 2 VISpm 1.1357616
## 11 3 CA1 1.0157895
## 12 3 POST 1.2879581
## 13 3 root 1.2051282
## 14 3 VISl 1.1818182
## 15 3 VISpm 1.4668874
## 16 4 CA1 1.1000000
## 17 4 POST 1.2356021
## 18 4 root 1.1025641
## 19 4 VISl 1.2467532
## 20 4 VISpm 1.5662252
## 21 5 CA1 0.7631579
## 22 5 POST 1.4083770
## 23 5 root 1.1153846
## 24 5 VISl 1.0779221
## 25 5 VISpm 1.6192053
## 26 6 CA1 0.9315789
## 27 6 POST 0.8481675
## 28 6 root 0.9487179
## 29 6 VISl 1.0519481
## 30 6 VISpm 0.9900662
## 31 7 CA1 1.1315789
## 32 7 POST 1.7225131
## 33 7 root 1.0128205
## 34 7 VISl 1.1904762
## 35 7 VISpm 1.8145695
## 36 8 CA1 1.6210526
## 37 8 POST 1.7382199
## 38 8 root 1.6666667
## 39 8 VISl 1.5844156
## 40 8 VISpm 1.7119205
## 41 9 CA1 0.8789474
## 42 9 POST 1.3193717
## 43 9 root 0.9743590
## 44 9 VISl 1.0692641
## 45 9 VISpm 1.2682119
## 46 10 CA1 0.8263158
## 47 10 POST 0.7591623
## 48 10 root 0.8717949
## 49 10 VISl 0.9393939
## 50 10 VISpm 0.8874172
## 51 11 CA1 1.0789474
## 52 11 POST 1.4764398
## 53 11 root 1.2820513
## 54 11 VISl 1.2900433
## 55 11 VISpm 1.5993377
## 56 12 CA1 1.2368421
## 57 12 POST 1.4554974
## 58 12 root 1.2692308
## 59 12 VISl 1.6536797
## 60 12 VISpm 1.5728477
## 61 13 CA1 1.1684211
## 62 13 POST 1.7225131
## 63 13 root 1.2820513
## 64 13 VISl 1.3463203
## 65 13 VISpm 1.8245033
## 66 14 CA1 1.1000000
## 67 14 POST 1.5235602
## 68 14 root 1.1153846
## 69 14 VISl 1.3506494
## 70 14 VISpm 1.4139073
## 71 15 CA1 1.0421053
## 72 15 POST 1.3717277
## 73 15 root 1.1153846
## 74 15 VISl 1.2251082
## 75 15 VISpm 1.7284768
## 76 16 CA1 1.1263158
## 77 16 POST 1.5863874
## 78 16 root 1.1987179
## 79 16 VISl 1.2554113
## 80 16 VISpm 1.7880795
## 81 17 CA1 1.2368421
## 82 17 POST 1.6335079
## 83 17 root 1.3525641
## 84 17 VISl 1.3549784
## 85 17 VISpm 1.6986755
## 86 18 CA1 1.0947368
## 87 18 POST 1.4973822
## 88 18 root 1.1217949
## 89 18 VISl 1.2597403
## 90 18 VISpm 1.3145695
## 91 19 CA1 1.0210526
## 92 19 POST 1.3193717
## 93 19 root 0.9743590
## 94 19 VISl 1.3852814
## 95 19 VISpm 1.4602649
## 96 20 CA1 1.1000000
## 97 20 POST 1.0994764
## 98 20 root 1.1346154
## 99 20 VISl 1.3246753
## 100 20 VISpm 1.5463576
## 101 21 CA1 1.3526316
## 102 21 POST 1.1308901
## 103 21 root 1.5576923
## 104 21 VISl 1.4372294
## 105 21 VISpm 1.2615894
## 106 22 CA1 1.1736842
## 107 22 POST 1.5759162
## 108 22 root 1.0448718
## 109 22 VISl 1.3376623
## 110 22 VISpm 1.5728477
## 111 23 CA1 1.1842105
## 112 23 POST 1.4240838
## 113 23 root 1.2179487
## 114 23 VISl 1.4025974
## 115 23 VISpm 1.6655629
## 116 24 CA1 1.1052632
## 117 24 POST 1.4607330
## 118 24 root 1.2371795
## 119 24 VISl 1.3116883
## 120 24 VISpm 1.4238411
## 121 25 CA1 1.1263158
## 122 25 POST 0.8691099
## 123 25 root 0.8974359
## 124 25 VISl 1.1688312
## 125 25 VISpm 1.1026490
## 126 26 CA1 1.3263158
## 127 26 POST 1.5130890
## 128 26 root 1.3653846
## 129 26 VISl 1.5194805
## 130 26 VISpm 1.7516556
## 131 27 CA1 1.0894737
## 132 27 POST 0.9842932
## 133 27 root 1.3589744
## 134 27 VISl 1.3160173
## 135 27 VISpm 1.1622517
## 136 28 CA1 1.0526316
## 137 28 POST 1.2146597
## 138 28 root 1.0705128
## 139 28 VISl 1.2597403
## 140 28 VISpm 1.4635762
## 141 29 CA1 1.2052632
## 142 29 POST 1.4869110
## 143 29 root 1.1923077
## 144 29 VISl 1.4329004
## 145 29 VISpm 1.6225166
## 146 30 CA1 1.3578947
## 147 30 POST 1.3664921
## 148 30 root 1.1025641
## 149 30 VISl 1.1255411
## 150 30 VISpm 1.5066225
## 151 31 CA1 1.1736842
## 152 31 POST 1.6910995
## 153 31 root 1.0256410
## 154 31 VISl 1.2510823
## 155 31 VISpm 1.5960265
## 156 32 CA1 1.0947368
## 157 32 POST 1.6649215
## 158 32 root 1.1858974
## 159 32 VISl 1.3549784
## 160 32 VISpm 1.5662252
## 161 33 CA1 1.1842105
## 162 33 POST 1.4869110
## 163 33 root 1.1282051
## 164 33 VISl 1.3376623
## 165 33 VISpm 1.5860927
## 166 34 CA1 1.0526316
## 167 34 POST 1.2984293
## 168 34 root 1.1282051
## 169 34 VISl 1.2857143
## 170 34 VISpm 1.2152318
## 171 35 CA1 0.8947368
## 172 35 POST 0.9738220
## 173 35 root 1.2820513
## 174 35 VISl 1.1471861
## 175 35 VISpm 1.0894040
## 176 36 CA1 1.2684211
## 177 36 POST 1.3560209
## 178 36 root 1.1730769
## 179 36 VISl 1.2337662
## 180 36 VISpm 1.6655629
## 181 37 CA1 1.0473684
## 182 37 POST 1.3612565
## 183 37 root 0.9871795
## 184 37 VISl 1.3549784
## 185 37 VISpm 1.2317881
## 186 38 CA1 0.8894737
## 187 38 POST 1.5549738
## 188 38 root 1.0833333
## 189 38 VISl 1.3333333
## 190 38 VISpm 1.3410596
## 191 39 CA1 1.1157895
## 192 39 POST 1.2617801
## 193 39 root 0.7692308
## 194 39 VISl 1.2294372
## 195 39 VISpm 1.3311258
## 196 40 CA1 1.1842105
## 197 40 POST 1.0837696
## 198 40 root 0.9615385
## 199 40 VISl 1.3939394
## 200 40 VISpm 1.2715232
## 201 41 CA1 1.1947368
## 202 41 POST 1.5706806
## 203 41 root 1.0384615
## 204 41 VISl 1.3982684
## 205 41 VISpm 1.4635762
## 206 42 CA1 1.2894737
## 207 42 POST 1.6910995
## 208 42 root 0.9807692
## 209 42 VISl 1.3376623
## 210 42 VISpm 1.6026490
## 211 43 CA1 0.9736842
## 212 43 POST 1.2984293
## 213 43 root 1.1538462
## 214 43 VISl 1.2813853
## 215 43 VISpm 1.3178808
## 216 44 CA1 1.4000000
## 217 44 POST 1.6910995
## 218 44 root 1.0641026
## 219 44 VISl 1.6666667
## 220 44 VISpm 1.7715232
## 221 45 CA1 1.4052632
## 222 45 POST 1.4240838
## 223 45 root 1.2115385
## 224 45 VISl 1.2380952
## 225 45 VISpm 1.6456954
## 226 46 CA1 1.3894737
## 227 46 POST 1.6544503
## 228 46 root 1.3461538
## 229 46 VISl 1.6839827
## 230 46 VISpm 1.7582781
## 231 47 CA1 1.3052632
## 232 47 POST 1.5497382
## 233 47 root 1.0961538
## 234 47 VISl 1.4978355
## 235 47 VISpm 1.6953642
## 236 48 CA1 1.2210526
## 237 48 POST 1.6649215
## 238 48 root 0.9102564
## 239 48 VISl 1.3809524
## 240 48 VISpm 1.6192053
## 241 49 CA1 1.1263158
## 242 49 POST 0.8638743
## 243 49 root 1.0064103
## 244 49 VISl 1.3549784
## 245 49 VISpm 1.0662252
## 246 50 CA1 1.2421053
## 247 50 POST 1.2041885
## 248 50 root 1.1346154
## 249 50 VISl 1.4069264
## 250 50 VISpm 1.2615894
## 251 51 CA1 1.5578947
## 252 51 POST 1.4450262
## 253 51 root 0.9358974
## 254 51 VISl 1.6017316
## 255 51 VISpm 1.4900662
## 256 52 CA1 1.1789474
## 257 52 POST 0.8795812
## 258 52 root 1.1602564
## 259 52 VISl 1.3809524
## 260 52 VISpm 1.2880795
## 261 53 CA1 1.1263158
## 262 53 POST 1.3455497
## 263 53 root 0.8269231
## 264 53 VISl 1.4502165
## 265 53 VISpm 1.3377483
## 266 54 CA1 1.2684211
## 267 54 POST 1.4764398
## 268 54 root 0.8653846
## 269 54 VISl 1.4329004
## 270 54 VISpm 1.5562914
## 271 55 CA1 1.3526316
## 272 55 POST 1.4921466
## 273 55 root 0.9551282
## 274 55 VISl 1.4718615
## 275 55 VISpm 1.5728477
## 276 56 CA1 1.3736842
## 277 56 POST 1.3193717
## 278 56 root 0.9807692
## 279 56 VISl 1.3073593
## 280 56 VISpm 1.5894040
## 281 57 CA1 1.2631579
## 282 57 POST 1.6230366
## 283 57 root 1.0256410
## 284 57 VISl 1.3636364
## 285 57 VISpm 1.6092715
## 286 58 CA1 1.2421053
## 287 58 POST 1.4083770
## 288 58 root 0.9423077
## 289 58 VISl 1.3463203
## 290 58 VISpm 1.5397351
## 291 59 CA1 1.2315789
## 292 59 POST 1.3036649
## 293 59 root 1.0448718
## 294 59 VISl 1.4502165
## 295 59 VISpm 1.4768212
## 296 60 CA1 0.9000000
## 297 60 POST 1.0575916
## 298 60 root 0.7628205
## 299 60 VISl 1.2164502
## 300 60 VISpm 1.3112583
## 301 61 CA1 1.2631579
## 302 61 POST 1.4240838
## 303 61 root 1.0384615
## 304 61 VISl 1.3290043
## 305 61 VISpm 1.6788079
## 306 62 CA1 1.0421053
## 307 62 POST 1.0471204
## 308 62 root 1.2307692
## 309 62 VISl 1.3722944
## 310 62 VISpm 1.2615894
## 311 63 CA1 1.0736842
## 312 63 POST 1.1675393
## 313 63 root 0.9423077
## 314 63 VISl 1.1904762
## 315 63 VISpm 1.2317881
## 316 64 CA1 1.1105263
## 317 64 POST 1.1989529
## 318 64 root 1.0128205
## 319 64 VISl 1.3982684
## 320 64 VISpm 1.4139073
## 321 65 CA1 1.4263158
## 322 65 POST 1.6335079
## 323 65 root 0.8141026
## 324 65 VISl 1.5541126
## 325 65 VISpm 1.6390728
## 326 66 CA1 1.2000000
## 327 66 POST 1.6544503
## 328 66 root 1.0448718
## 329 66 VISl 1.4372294
## 330 66 VISpm 1.5629139
## 331 67 CA1 1.4736842
## 332 67 POST 1.6649215
## 333 67 root 0.9871795
## 334 67 VISl 1.3679654
## 335 67 VISpm 1.7980132
## 336 68 CA1 1.3157895
## 337 68 POST 1.4869110
## 338 68 root 0.9358974
## 339 68 VISl 1.2900433
## 340 68 VISpm 1.3112583
## 341 69 CA1 1.1578947
## 342 69 POST 1.3141361
## 343 69 root 0.8269231
## 344 69 VISl 1.3549784
## 345 69 VISpm 1.3443709
## 346 70 CA1 0.9105263
## 347 70 POST 0.8324607
## 348 70 root 0.9551282
## 349 70 VISl 1.2510823
## 350 70 VISpm 1.0596026
## 351 71 CA1 1.2157895
## 352 71 POST 1.5602094
## 353 71 root 1.0512821
## 354 71 VISl 1.2813853
## 355 71 VISpm 1.5397351
## 356 72 CA1 0.8421053
## 357 72 POST 0.8324607
## 358 72 root 0.7628205
## 359 72 VISl 1.1601732
## 360 72 VISpm 0.9834437
## 361 73 CA1 1.4789474
## 362 73 POST 1.6910995
## 363 73 root 1.2371795
## 364 73 VISl 1.5281385
## 365 73 VISpm 1.8211921
## 366 74 CA1 1.0842105
## 367 74 POST 0.8429319
## 368 74 root 0.7948718
## 369 74 VISl 1.0432900
## 370 74 VISpm 0.9370861
## 371 75 CA1 1.4315789
## 372 75 POST 1.8848168
## 373 75 root 0.9551282
## 374 75 VISl 1.4242424
## 375 75 VISpm 1.6125828
## 376 76 CA1 1.0052632
## 377 76 POST 0.8219895
## 378 76 root 0.7948718
## 379 76 VISl 1.0735931
## 380 76 VISpm 0.9470199
## 381 77 CA1 1.1526316
## 382 77 POST 1.3507853
## 383 77 root 0.9615385
## 384 77 VISl 1.2683983
## 385 77 VISpm 1.6258278
## 386 78 CA1 1.0000000
## 387 78 POST 1.1151832
## 388 78 root 0.7628205
## 389 78 VISl 1.0692641
## 390 78 VISpm 1.2119205
## 391 79 CA1 1.3894737
## 392 79 POST 1.3350785
## 393 79 root 0.9807692
## 394 79 VISl 1.3982684
## 395 79 VISpm 1.4437086
## 396 80 CA1 1.3631579
## 397 80 POST 1.6439791
## 398 80 root 1.0320513
## 399 80 VISl 1.5627706
## 400 80 VISpm 1.5596026
## 401 81 CA1 1.3105263
## 402 81 POST 1.7277487
## 403 81 root 1.1923077
## 404 81 VISl 1.5497835
## 405 81 VISpm 1.7483444
## 406 82 CA1 1.1105263
## 407 82 POST 1.6020942
## 408 82 root 1.0192308
## 409 82 VISl 1.3593074
## 410 82 VISpm 1.9039735
## 411 83 CA1 1.1000000
## 412 83 POST 1.3979058
## 413 83 root 0.9551282
## 414 83 VISl 1.3203463
## 415 83 VISpm 1.4470199
## 416 84 CA1 1.2105263
## 417 84 POST 1.7539267
## 418 84 root 1.0384615
## 419 84 VISl 1.4675325
## 420 84 VISpm 1.7615894
## 421 85 CA1 1.2263158
## 422 85 POST 1.5916230
## 423 85 root 1.1923077
## 424 85 VISl 1.4718615
## 425 85 VISpm 1.6688742
## 426 86 CA1 1.1052632
## 427 86 POST 1.3507853
## 428 86 root 1.1602564
## 429 86 VISl 1.6147186
## 430 86 VISpm 1.4304636
## 431 87 CA1 1.1736842
## 432 87 POST 1.3979058
## 433 87 root 1.0769231
## 434 87 VISl 1.1774892
## 435 87 VISpm 1.3973510
## 436 88 CA1 0.9263158
## 437 88 POST 1.7068063
## 438 88 root 0.9487179
## 439 88 VISl 1.3809524
## 440 88 VISpm 1.6490066
## 441 89 CA1 1.0842105
## 442 89 POST 1.1151832
## 443 89 root 1.0064103
## 444 89 VISl 1.1515152
## 445 89 VISpm 1.3145695
## 446 90 CA1 0.9263158
## 447 90 POST 1.2460733
## 448 90 root 0.9294872
## 449 90 VISl 1.1125541
## 450 90 VISpm 1.1655629
## 451 91 CA1 0.9105263
## 452 91 POST 0.9424084
## 453 91 root 0.8525641
## 454 91 VISl 1.0173160
## 455 91 VISpm 1.0860927
## 456 92 CA1 1.0526316
## 457 92 POST 1.1884817
## 458 92 root 0.8782051
## 459 92 VISl 1.1818182
## 460 92 VISpm 1.3741722
## 461 93 CA1 0.9947368
## 462 93 POST 0.7696335
## 463 93 root 0.9807692
## 464 93 VISl 1.0649351
## 465 93 VISpm 1.0066225
## 466 94 CA1 0.9578947
## 467 94 POST 1.1465969
## 468 94 root 0.8461538
## 469 94 VISl 1.2554113
## 470 94 VISpm 1.2549669
## 471 95 CA1 1.1210526
## 472 95 POST 1.4764398
## 473 95 root 0.9551282
## 474 95 VISl 1.4025974
## 475 95 VISpm 1.4370861
## 476 96 CA1 1.0157895
## 477 96 POST 1.1047120
## 478 96 root 1.0064103
## 479 96 VISl 1.1082251
## 480 96 VISpm 1.1920530
## 481 97 CA1 0.7315789
## 482 97 POST 1.2617801
## 483 97 root 0.9038462
## 484 97 VISl 1.1168831
## 485 97 VISpm 1.3576159
## 486 98 CA1 1.0473684
## 487 98 POST 0.9005236
## 488 98 root 0.9166667
## 489 98 VISl 1.2380952
## 490 98 VISpm 0.8377483
## 491 99 CA1 0.8263158
## 492 99 POST 1.1465969
## 493 99 root 0.9294872
## 494 99 VISl 1.1991342
## 495 99 VISpm 1.1523179
## 496 100 CA1 1.2105263
## 497 100 POST 1.5235602
## 498 100 root 0.9230769
## 499 100 VISl 1.4199134
## 500 100 VISpm 1.3377483
## 501 101 CA1 1.2736842
## 502 101 POST 1.4607330
## 503 101 root 1.0641026
## 504 101 VISl 1.6450216
## 505 101 VISpm 1.5993377
## 506 102 CA1 0.9421053
## 507 102 POST 0.9790576
## 508 102 root 0.8205128
## 509 102 VISl 1.1255411
## 510 102 VISpm 1.2715232
## 511 103 CA1 1.3157895
## 512 103 POST 1.0523560
## 513 103 root 1.0192308
## 514 103 VISl 1.3549784
## 515 103 VISpm 1.3211921
## 516 104 CA1 1.0578947
## 517 104 POST 1.2146597
## 518 104 root 0.9166667
## 519 104 VISl 1.2294372
## 520 104 VISpm 1.3311258
## 521 105 CA1 1.1842105
## 522 105 POST 1.6701571
## 523 105 root 0.9294872
## 524 105 VISl 1.4285714
## 525 105 VISpm 1.7251656
## 526 106 CA1 0.9210526
## 527 106 POST 1.3717277
## 528 106 root 1.0320513
## 529 106 VISl 1.3636364
## 530 106 VISpm 1.8509934
## 531 107 CA1 1.0473684
## 532 107 POST 1.5654450
## 533 107 root 1.0320513
## 534 107 VISl 1.5930736
## 535 107 VISpm 1.5331126
## 536 108 CA1 1.0526316
## 537 108 POST 1.0628272
## 538 108 root 0.9871795
## 539 108 VISl 1.2640693
## 540 108 VISpm 1.3145695
## 541 109 CA1 1.1526316
## 542 109 POST 1.0000000
## 543 109 root 1.0128205
## 544 109 VISl 1.1558442
## 545 109 VISpm 1.1887417
## 546 110 CA1 1.4421053
## 547 110 POST 1.7748691
## 548 110 root 0.8974359
## 549 110 VISl 1.5151515
## 550 110 VISpm 1.7947020
## 551 111 CA1 1.2315789
## 552 111 POST 1.5602094
## 553 111 root 0.8717949
## 554 111 VISl 1.2597403
## 555 111 VISpm 1.6059603
## 556 112 CA1 1.2210526
## 557 112 POST 1.3246073
## 558 112 root 0.8589744
## 559 112 VISl 1.3376623
## 560 112 VISpm 1.3973510
## 561 113 CA1 1.1263158
## 562 113 POST 0.9162304
## 563 113 root 1.0128205
## 564 113 VISl 1.3030303
## 565 113 VISpm 1.0860927
## 566 114 CA1 1.1000000
## 567 114 POST 1.5654450
## 568 114 root 1.0641026
## 569 114 VISl 1.3896104
## 570 114 VISpm 1.6357616
## 571 115 CA1 1.3894737
## 572 115 POST 1.6387435
## 573 115 root 1.3333333
## 574 115 VISl 1.5021645
## 575 115 VISpm 2.0264901
## 576 116 CA1 1.2368421
## 577 116 POST 1.2146597
## 578 116 root 1.0000000
## 579 116 VISl 1.2813853
## 580 116 VISpm 1.4701987
## 581 117 CA1 1.1684211
## 582 117 POST 1.2303665
## 583 117 root 0.9487179
## 584 117 VISl 1.3636364
## 585 117 VISpm 1.5165563
## 586 118 CA1 0.9368421
## 587 118 POST 1.3717277
## 588 118 root 0.8333333
## 589 118 VISl 1.2121212
## 590 118 VISpm 1.4403974
## 591 119 CA1 1.0105263
## 592 119 POST 1.1570681
## 593 119 root 0.9423077
## 594 119 VISl 1.2727273
## 595 119 VISpm 1.2119205
## 596 120 CA1 1.2263158
## 597 120 POST 1.2931937
## 598 120 root 0.8525641
## 599 120 VISl 1.2424242
## 600 120 VISpm 1.7052980
## 601 121 CA1 1.0368421
## 602 121 POST 1.3089005
## 603 121 root 0.8846154
## 604 121 VISl 1.1385281
## 605 121 VISpm 1.4370861
## 606 122 CA1 0.9157895
## 607 122 POST 1.0261780
## 608 122 root 0.6666667
## 609 122 VISl 0.9134199
## 610 122 VISpm 1.3311258
## 611 123 CA1 1.2894737
## 612 123 POST 1.5183246
## 613 123 root 0.9102564
## 614 123 VISl 1.4718615
## 615 123 VISpm 1.6258278
## 616 124 CA1 0.8210526
## 617 124 POST 1.1518325
## 618 124 root 0.8012821
## 619 124 VISl 1.0000000
## 620 124 VISpm 1.3774834
## 621 125 CA1 0.8789474
## 622 125 POST 1.2460733
## 623 125 root 0.8012821
## 624 125 VISl 1.1125541
## 625 125 VISpm 1.2384106
## 626 126 CA1 0.8526316
## 627 126 POST 1.2931937
## 628 126 root 0.8525641
## 629 126 VISl 0.9307359
## 630 126 VISpm 1.3079470
## 631 127 CA1 1.0315789
## 632 127 POST 1.1989529
## 633 127 root 0.7500000
## 634 127 VISl 1.2337662
## 635 127 VISpm 1.7384106
## 636 128 CA1 1.0526316
## 637 128 POST 1.1204188
## 638 128 root 1.1217949
## 639 128 VISl 1.0735931
## 640 128 VISpm 1.3940397
## 641 129 CA1 1.4210526
## 642 129 POST 1.8010471
## 643 129 root 0.9294872
## 644 129 VISl 1.6753247
## 645 129 VISpm 1.8907285
## 646 130 CA1 1.2052632
## 647 130 POST 1.4973822
## 648 130 root 0.9679487
## 649 130 VISl 1.2640693
## 650 130 VISpm 1.7218543
## 651 131 CA1 0.9684211
## 652 131 POST 1.4973822
## 653 131 root 0.9679487
## 654 131 VISl 1.3073593
## 655 131 VISpm 1.3013245
## 656 132 CA1 0.9894737
## 657 132 POST 0.9895288
## 658 132 root 1.1410256
## 659 132 VISl 1.1082251
## 660 132 VISpm 1.4668874
## 661 133 CA1 0.9000000
## 662 133 POST 0.7801047
## 663 133 root 0.9743590
## 664 133 VISl 1.1904762
## 665 133 VISpm 1.1158940
## 666 134 CA1 0.9105263
## 667 134 POST 1.2722513
## 668 134 root 1.0512821
## 669 134 VISl 1.2294372
## 670 134 VISpm 1.6986755
## 671 135 CA1 0.7368421
## 672 135 POST 0.8167539
## 673 135 root 0.7179487
## 674 135 VISl 1.0346320
## 675 135 VISpm 1.1357616
## 676 136 CA1 0.7894737
## 677 136 POST 0.9947644
## 678 136 root 0.8461538
## 679 136 VISl 0.9437229
## 680 136 VISpm 1.0596026
## 681 137 CA1 0.8684211
## 682 137 POST 1.1884817
## 683 137 root 0.7884615
## 684 137 VISl 1.1558442
## 685 137 VISpm 1.2251656
## 686 138 CA1 1.2368421
## 687 138 POST 1.4554974
## 688 138 root 1.0769231
## 689 138 VISl 1.3636364
## 690 138 VISpm 1.5463576
## 691 139 CA1 1.0631579
## 692 139 POST 1.2513089
## 693 139 root 0.7115385
## 694 139 VISl 1.4069264
## 695 139 VISpm 1.2847682
## 696 140 CA1 0.9842105
## 697 140 POST 1.1832461
## 698 140 root 0.9166667
## 699 140 VISl 1.0389610
## 700 140 VISpm 1.0827815
## 701 141 CA1 1.3105263
## 702 141 POST 1.0314136
## 703 141 root 0.9935897
## 704 141 VISl 1.5974026
## 705 141 VISpm 1.2152318
## 706 142 CA1 0.8421053
## 707 142 POST 1.2879581
## 708 142 root 0.8141026
## 709 142 VISl 1.1212121
## 710 142 VISpm 1.4271523
## 711 143 CA1 1.3105263
## 712 143 POST 1.2879581
## 713 143 root 1.2884615
## 714 143 VISl 1.4415584
## 715 143 VISpm 1.4304636
## 716 144 CA1 0.9263158
## 717 144 POST 1.3612565
## 718 144 root 0.7179487
## 719 144 VISl 1.1818182
## 720 144 VISpm 1.5132450
## 721 145 CA1 1.1736842
## 722 145 POST 0.7539267
## 723 145 root 0.8397436
## 724 145 VISl 1.0865801
## 725 145 VISpm 1.2019868
## 726 146 CA1 1.1736842
## 727 146 POST 1.5392670
## 728 146 root 0.8012821
## 729 146 VISl 1.1818182
## 730 146 VISpm 1.5298013
## 731 147 CA1 1.4473684
## 732 147 POST 1.3141361
## 733 147 root 1.0256410
## 734 147 VISl 1.2640693
## 735 147 VISpm 1.4933775
## 736 148 CA1 0.8578947
## 737 148 POST 1.0942408
## 738 148 root 0.8782051
## 739 148 VISl 1.0043290
## 740 148 VISpm 1.0927152
## 741 149 CA1 1.0842105
## 742 149 POST 1.0157068
## 743 149 root 1.1346154
## 744 149 VISl 1.2380952
## 745 149 VISpm 0.9966887
## 746 150 CA1 0.9684211
## 747 150 POST 1.0000000
## 748 150 root 1.2307692
## 749 150 VISl 1.3679654
## 750 150 VISpm 1.1490066
## 751 151 CA1 1.1736842
## 752 151 POST 1.0366492
## 753 151 root 1.0512821
## 754 151 VISl 1.2640693
## 755 151 VISpm 1.2251656
## 756 152 CA1 1.0315789
## 757 152 POST 1.1623037
## 758 152 root 1.0705128
## 759 152 VISl 1.2424242
## 760 152 VISpm 1.4701987
## 761 153 CA1 1.1947368
## 762 153 POST 1.2198953
## 763 153 root 0.9487179
## 764 153 VISl 1.2554113
## 765 153 VISpm 1.2185430
## 766 154 CA1 1.1631579
## 767 154 POST 1.2670157
## 768 154 root 1.0320513
## 769 154 VISl 1.3160173
## 770 154 VISpm 1.2649007
## 771 155 CA1 1.1736842
## 772 155 POST 1.2513089
## 773 155 root 1.1025641
## 774 155 VISl 1.3116883
## 775 155 VISpm 1.5033113
## 776 156 CA1 1.1789474
## 777 156 POST 1.5968586
## 778 156 root 0.7692308
## 779 156 VISl 1.2640693
## 780 156 VISpm 1.6920530
## 781 157 CA1 1.2210526
## 782 157 POST 1.0837696
## 783 157 root 1.1346154
## 784 157 VISl 1.2554113
## 785 157 VISpm 1.3013245
## 786 158 CA1 1.1157895
## 787 158 POST 1.2041885
## 788 158 root 0.8461538
## 789 158 VISl 1.1038961
## 790 158 VISpm 1.0562914
## 791 159 CA1 1.2052632
## 792 159 POST 1.8324607
## 793 159 root 0.9038462
## 794 159 VISl 1.3073593
## 795 159 VISpm 1.5695364
## 796 160 CA1 1.1368421
## 797 160 POST 1.3664921
## 798 160 root 1.0384615
## 799 160 VISl 1.4112554
## 800 160 VISpm 1.4635762
## 801 161 CA1 1.2210526
## 802 161 POST 1.6439791
## 803 161 root 1.0128205
## 804 161 VISl 1.2554113
## 805 161 VISpm 1.5662252
## 806 162 CA1 1.1421053
## 807 162 POST 1.0157068
## 808 162 root 0.8974359
## 809 162 VISl 1.1558442
## 810 162 VISpm 1.2549669
## 811 163 CA1 1.2157895
## 812 163 POST 1.6020942
## 813 163 root 1.0128205
## 814 163 VISl 1.3203463
## 815 163 VISpm 1.5430464
## 816 164 CA1 1.0210526
## 817 164 POST 1.5968586
## 818 164 root 0.9487179
## 819 164 VISl 1.0389610
## 820 164 VISpm 1.3841060
## 821 165 CA1 1.1789474
## 822 165 POST 1.4345550
## 823 165 root 1.0128205
## 824 165 VISl 1.3593074
## 825 165 VISpm 1.6092715
## 826 166 CA1 1.2947368
## 827 166 POST 1.4083770
## 828 166 root 0.8717949
## 829 166 VISl 1.5021645
## 830 166 VISpm 1.5231788
## 831 167 CA1 1.3263158
## 832 167 POST 1.7068063
## 833 167 root 1.2500000
## 834 167 VISl 1.5021645
## 835 167 VISpm 2.0397351
## 836 168 CA1 1.1368421
## 837 168 POST 1.2879581
## 838 168 root 1.0576923
## 839 168 VISl 1.4155844
## 840 168 VISpm 1.4437086
## 841 169 CA1 0.9105263
## 842 169 POST 1.3507853
## 843 169 root 1.0320513
## 844 169 VISl 1.1255411
## 845 169 VISpm 1.2384106
## 846 170 CA1 0.9578947
## 847 170 POST 1.0575916
## 848 170 root 0.9551282
## 849 170 VISl 1.0562771
## 850 170 VISpm 1.2019868
## 851 171 CA1 1.2842105
## 852 171 POST 1.5497382
## 853 171 root 1.1538462
## 854 171 VISl 1.2337662
## 855 171 VISpm 1.7847682
## 856 172 CA1 0.9473684
## 857 172 POST 1.0732984
## 858 172 root 0.9166667
## 859 172 VISl 1.2164502
## 860 172 VISpm 1.5165563
## 861 173 CA1 1.2052632
## 862 173 POST 1.4554974
## 863 173 root 1.1474359
## 864 173 VISl 1.3376623
## 865 173 VISpm 1.5927152
## 866 174 CA1 1.4526316
## 867 174 POST 1.7853403
## 868 174 root 1.0897436
## 869 174 VISl 1.3852814
## 870 174 VISpm 1.7615894
## 871 175 CA1 1.0473684
## 872 175 POST 1.2774869
## 873 175 root 1.0448718
## 874 175 VISl 1.0303030
## 875 175 VISpm 1.3278146
## 876 176 CA1 1.4052632
## 877 176 POST 1.6649215
## 878 176 root 1.0897436
## 879 176 VISl 1.3593074
## 880 176 VISpm 1.7549669
## 881 177 CA1 1.3263158
## 882 177 POST 1.1518325
## 883 177 root 1.1666667
## 884 177 VISl 1.2510823
## 885 177 VISpm 1.5099338
## 886 178 CA1 1.3315789
## 887 178 POST 1.0261780
## 888 178 root 1.2884615
## 889 178 VISl 1.2164502
## 890 178 VISpm 1.2417219
## 891 179 CA1 0.8842105
## 892 179 POST 1.1832461
## 893 179 root 0.8525641
## 894 179 VISl 0.9783550
## 895 179 VISpm 1.2913907
## 896 180 CA1 1.0947368
## 897 180 POST 1.0994764
## 898 180 root 1.1153846
## 899 180 VISl 1.2813853
## 900 180 VISpm 1.2781457
## 901 181 CA1 1.5842105
## 902 181 POST 2.0680628
## 903 181 root 1.2115385
## 904 181 VISl 1.6406926
## 905 181 VISpm 1.8907285
## 906 182 CA1 1.4315789
## 907 182 POST 1.2931937
## 908 182 root 0.9038462
## 909 182 VISl 1.4155844
## 910 182 VISpm 1.6622517
## 911 183 CA1 1.0631579
## 912 183 POST 1.0890052
## 913 183 root 0.9166667
## 914 183 VISl 1.0129870
## 915 183 VISpm 1.0264901
## 916 184 CA1 1.1526316
## 917 184 POST 1.4293194
## 918 184 root 1.0320513
## 919 184 VISl 1.3766234
## 920 184 VISpm 1.6390728
## 921 185 CA1 1.0631579
## 922 185 POST 1.4136126
## 923 185 root 0.7500000
## 924 185 VISl 1.0649351
## 925 185 VISpm 1.2682119
## 926 186 CA1 1.1894737
## 927 186 POST 1.4607330
## 928 186 root 1.0641026
## 929 186 VISl 1.2943723
## 930 186 VISpm 1.4635762
## 931 187 CA1 1.0736842
## 932 187 POST 1.0261780
## 933 187 root 0.8846154
## 934 187 VISl 0.9870130
## 935 187 VISpm 0.9834437
## 936 188 CA1 1.4894737
## 937 188 POST 0.9528796
## 938 188 root 1.5000000
## 939 188 VISl 1.5411255
## 940 188 VISpm 1.0430464
## 941 189 CA1 1.1105263
## 942 189 POST 1.1465969
## 943 189 root 0.9038462
## 944 189 VISl 1.2987013
## 945 189 VISpm 1.7317881
## 946 190 CA1 0.8473684
## 947 190 POST 1.1099476
## 948 190 root 0.8782051
## 949 190 VISl 1.0346320
## 950 190 VISpm 1.1092715
## 951 191 CA1 1.0894737
## 952 191 POST 1.4816754
## 953 191 root 1.1089744
## 954 191 VISl 1.2207792
## 955 191 VISpm 1.4238411
## 956 192 CA1 1.0631579
## 957 192 POST 0.8795812
## 958 192 root 0.8846154
## 959 192 VISl 1.1385281
## 960 192 VISpm 1.1324503
## 961 193 CA1 1.0000000
## 962 193 POST 1.0261780
## 963 193 root 0.8782051
## 964 193 VISl 1.0692641
## 965 193 VISpm 1.2417219
## 966 194 CA1 1.1052632
## 967 194 POST 1.1151832
## 968 194 root 0.7820513
## 969 194 VISl 1.0476190
## 970 194 VISpm 1.3178808
## 971 195 CA1 1.5736842
## 972 195 POST 1.7068063
## 973 195 root 1.1474359
## 974 195 VISl 1.3246753
## 975 195 VISpm 1.6688742
## 976 196 CA1 1.0368421
## 977 196 POST 1.0104712
## 978 196 root 0.7500000
## 979 196 VISl 0.9437229
## 980 196 VISpm 1.0165563
## 981 197 CA1 1.0947368
## 982 197 POST 1.0000000
## 983 197 root 0.8269231
## 984 197 VISl 1.1515152
## 985 197 VISpm 1.5000000
## 986 198 CA1 1.2315789
## 987 198 POST 1.0575916
## 988 198 root 0.9615385
## 989 198 VISl 1.2251082
## 990 198 VISpm 1.3708609
## 991 199 CA1 0.9263158
## 992 199 POST 1.0418848
## 993 199 root 0.9038462
## 994 199 VISl 1.0606061
## 995 199 VISpm 1.3807947
## 996 200 CA1 1.0894737
## 997 200 POST 1.5078534
## 998 200 root 0.9679487
## 999 200 VISl 1.1038961
## 1000 200 VISpm 1.7152318
## 1001 201 CA1 1.2105263
## 1002 201 POST 0.9895288
## 1003 201 root 1.1282051
## 1004 201 VISl 1.2424242
## 1005 201 VISpm 1.4867550
## 1006 202 CA1 1.1894737
## 1007 202 POST 1.4869110
## 1008 202 root 0.8012821
## 1009 202 VISl 1.2554113
## 1010 202 VISpm 1.5894040
## 1011 203 CA1 1.3894737
## 1012 203 POST 1.6282723
## 1013 203 root 0.8653846
## 1014 203 VISl 1.3679654
## 1015 203 VISpm 1.7350993
## 1016 204 CA1 1.1210526
## 1017 204 POST 0.9738220
## 1018 204 root 0.8782051
## 1019 204 VISl 1.1818182
## 1020 204 VISpm 1.5927152
## 1021 205 CA1 1.3157895
## 1022 205 POST 1.2303665
## 1023 205 root 1.4679487
## 1024 205 VISl 1.4069264
## 1025 205 VISpm 1.2980132
## 1026 206 CA1 1.3631579
## 1027 206 POST 1.8848168
## 1028 206 root 1.1217949
## 1029 206 VISl 1.5541126
## 1030 206 VISpm 1.8178808
## 1031 207 CA1 1.0052632
## 1032 207 POST 1.1256545
## 1033 207 root 0.8782051
## 1034 207 VISl 1.0562771
## 1035 207 VISpm 1.5000000
## 1036 208 CA1 1.1684211
## 1037 208 POST 1.2094241
## 1038 208 root 0.8141026
## 1039 208 VISl 1.1818182
## 1040 208 VISpm 1.5397351
## 1041 209 CA1 1.2000000
## 1042 209 POST 1.3612565
## 1043 209 root 0.9743590
## 1044 209 VISl 1.1774892
## 1045 209 VISpm 1.5629139
## 1046 210 CA1 1.0052632
## 1047 210 POST 0.8900524
## 1048 210 root 0.7115385
## 1049 210 VISl 0.9090909
## 1050 210 VISpm 1.1788079
## 1051 211 CA1 1.6105263
## 1052 211 POST 1.8638743
## 1053 211 root 1.1858974
## 1054 211 VISl 1.5064935
## 1055 211 VISpm 1.9470199
## 1056 212 CA1 1.4421053
## 1057 212 POST 1.9371728
## 1058 212 root 1.0961538
## 1059 212 VISl 1.6190476
## 1060 212 VISpm 1.8741722
## 1061 213 CA1 1.0421053
## 1062 213 POST 0.9109948
## 1063 213 root 0.9423077
## 1064 213 VISl 1.0389610
## 1065 213 VISpm 0.8940397
## 1066 214 CA1 1.5315789
## 1067 214 POST 1.6701571
## 1068 214 root 1.1153846
## 1069 214 VISl 1.6580087
## 1070 214 VISpm 1.9072848
## 1071 215 CA1 1.1315789
## 1072 215 POST 1.1518325
## 1073 215 root 1.1089744
## 1074 215 VISl 1.2380952
## 1075 215 VISpm 1.3973510
## 1076 216 CA1 1.2894737
## 1077 216 POST 1.6125654
## 1078 216 root 1.0064103
## 1079 216 VISl 1.4025974
## 1080 216 VISpm 1.7317881
## 1081 217 CA1 0.9368421
## 1082 217 POST 0.9424084
## 1083 217 root 0.9166667
## 1084 217 VISl 1.0346320
## 1085 217 VISpm 0.9536424
## 1086 218 CA1 1.3000000
## 1087 218 POST 1.3560209
## 1088 218 root 1.1089744
## 1089 218 VISl 1.3203463
## 1090 218 VISpm 1.7086093
## 1091 219 CA1 1.5315789
## 1092 219 POST 1.7696335
## 1093 219 root 1.0833333
## 1094 219 VISl 1.4632035
## 1095 219 VISpm 1.8509934
## 1096 220 CA1 1.2000000
## 1097 220 POST 0.8062827
## 1098 220 root 1.0192308
## 1099 220 VISl 1.1385281
## 1100 220 VISpm 0.9768212
## 1101 221 CA1 1.0315789
## 1102 221 POST 1.2146597
## 1103 221 root 0.9615385
## 1104 221 VISl 1.1558442
## 1105 221 VISpm 1.2947020
## 1106 222 CA1 1.6157895
## 1107 222 POST 1.4450262
## 1108 222 root 1.0448718
## 1109 222 VISl 1.3290043
## 1110 222 VISpm 1.5596026
## 1111 223 CA1 1.3578947
## 1112 223 POST 1.2460733
## 1113 223 root 1.2243590
## 1114 223 VISl 1.2943723
## 1115 223 VISpm 1.2350993
## 1116 224 CA1 1.2789474
## 1117 224 POST 0.9842932
## 1118 224 root 0.9230769
## 1119 224 VISl 1.1601732
## 1120 224 VISpm 1.3807947
## 1121 225 CA1 1.2315789
## 1122 225 POST 1.1518325
## 1123 225 root 1.3910256
## 1124 225 VISl 1.3549784
## 1125 225 VISpm 1.4668874
## 1126 226 CA1 1.1736842
## 1127 226 POST 0.7801047
## 1128 226 root 1.2179487
## 1129 226 VISl 1.2294372
## 1130 226 VISpm 1.3311258
## 1131 227 CA1 0.9789474
## 1132 227 POST 0.9162304
## 1133 227 root 0.7756410
## 1134 227 VISl 1.1038961
## 1135 227 VISpm 1.3311258
## 1136 228 CA1 1.2052632
## 1137 228 POST 1.0314136
## 1138 228 root 0.9743590
## 1139 228 VISl 1.0562771
## 1140 228 VISpm 1.4503311
## 1141 229 CA1 1.5157895
## 1142 229 POST 1.4816754
## 1143 229 root 1.2243590
## 1144 229 VISl 1.3939394
## 1145 229 VISpm 1.5397351
## 1146 230 CA1 1.1210526
## 1147 230 POST 1.3246073
## 1148 230 root 1.0384615
## 1149 230 VISl 1.1818182
## 1150 230 VISpm 1.2748344
## 1151 231 CA1 1.2263158
## 1152 231 POST 0.9214660
## 1153 231 root 0.9038462
## 1154 231 VISl 1.1731602
## 1155 231 VISpm 1.0165563
## 1156 232 CA1 1.1473684
## 1157 232 POST 0.7905759
## 1158 232 root 1.0384615
## 1159 232 VISl 1.1731602
## 1160 232 VISpm 1.1192053
## 1161 233 CA1 1.2052632
## 1162 233 POST 1.2041885
## 1163 233 root 1.0320513
## 1164 233 VISl 1.2857143
## 1165 233 VISpm 1.4668874
## 1166 234 CA1 1.6421053
## 1167 234 POST 1.5863874
## 1168 234 root 1.0000000
## 1169 234 VISl 1.3203463
## 1170 234 VISpm 1.6258278
## 1171 235 CA1 1.1631579
## 1172 235 POST 1.3979058
## 1173 235 root 0.9871795
## 1174 235 VISl 1.0562771
## 1175 235 VISpm 1.3476821
## 1176 236 CA1 1.1578947
## 1177 236 POST 1.2774869
## 1178 236 root 1.2179487
## 1179 236 VISl 1.2683983
## 1180 236 VISpm 1.2682119
## 1181 237 CA1 1.1368421
## 1182 237 POST 1.3193717
## 1183 237 root 1.0192308
## 1184 237 VISl 1.0216450
## 1185 237 VISpm 1.4039735
## 1186 238 CA1 1.3578947
## 1187 238 POST 1.2827225
## 1188 238 root 1.1282051
## 1189 238 VISl 1.3246753
## 1190 238 VISpm 1.1688742
## 1191 239 CA1 1.5105263
## 1192 239 POST 1.6701571
## 1193 239 root 1.0576923
## 1194 239 VISl 1.4675325
## 1195 239 VISpm 1.5827815
## 1196 240 CA1 1.1684211
## 1197 240 POST 1.1780105
## 1198 240 root 0.9166667
## 1199 240 VISl 1.1558442
## 1200 240 VISpm 1.4337748
## 1201 241 CA1 1.4578947
## 1202 241 POST 1.5759162
## 1203 241 root 1.1217949
## 1204 241 VISl 1.4112554
## 1205 241 VISpm 1.6291391
## 1206 242 CA1 1.0157895
## 1207 242 POST 1.3141361
## 1208 242 root 1.1730769
## 1209 242 VISl 1.3376623
## 1210 242 VISpm 1.6490066
## 1211 243 CA1 0.9947368
## 1212 243 POST 0.9214660
## 1213 243 root 1.0576923
## 1214 243 VISl 1.0173160
## 1215 243 VISpm 1.3211921
## 1216 244 CA1 1.0210526
## 1217 244 POST 1.0837696
## 1218 244 root 0.9679487
## 1219 244 VISl 1.0909091
## 1220 244 VISpm 1.0596026
## 1221 245 CA1 1.0210526
## 1222 245 POST 1.0785340
## 1223 245 root 0.7884615
## 1224 245 VISl 1.1515152
## 1225 245 VISpm 1.2384106
## 1226 246 CA1 1.2789474
## 1227 246 POST 1.5340314
## 1228 246 root 0.9935897
## 1229 246 VISl 1.3852814
## 1230 246 VISpm 1.7549669
## 1231 247 CA1 1.0631579
## 1232 247 POST 1.1413613
## 1233 247 root 0.6474359
## 1234 247 VISl 0.9740260
## 1235 247 VISpm 0.9139073
## 1236 248 CA1 1.2578947
## 1237 248 POST 1.3350785
## 1238 248 root 0.9935897
## 1239 248 VISl 1.1904762
## 1240 248 VISpm 1.4139073
## 1241 249 CA1 1.0684211
## 1242 249 POST 1.1151832
## 1243 249 root 0.9487179
## 1244 249 VISl 1.1991342
## 1245 249 VISpm 1.2185430
## 1246 250 CA1 1.3157895
## 1247 250 POST 1.5078534
## 1248 250 root 0.8141026
## 1249 250 VISl 1.2727273
## 1250 250 VISpm 1.6357616
## 1251 251 CA1 1.3157895
## 1252 251 POST 1.4869110
## 1253 251 root 0.9615385
## 1254 251 VISl 1.2034632
## 1255 251 VISpm 1.4801325ggplot(results_df, mapping=aes(x=brain_area, y=avg_spike_count, color=trial)) + geom_point() +stat_summary(fun = mean, geom = "point", size = 4, color = "red") 
This data frame demonstrates the average spike count in each brain
region and in each trial of session 2. The graph shows us that there
there is a difference between spike count and brain area.
# Initialize an empty list to store results from all sessions
all_results_list <- list()
# Loop through all sessions (i = 1:18)
for (i in 1:18) {
trial_indices <- 1:(length(session[[i]]$feedback_type)) # Define trials
session_results <- average_spike_area(trial_indices, session[[i]])
session_results$session <- i # Add session number
all_results_list[[i]] <- session_results # Store results
}
# Combine all session data into one data frame
all_results_df <- do.call(rbind, all_results_list)
# Plot data for all sessions, faceting by session
ggplot(all_results_df, aes(x = brain_area, y = avg_spike_count, color = trial)) +
geom_point(size = 1) +
stat_summary(fun = mean, geom = "point", size = 3, color = "red") + # Red points for mean
facet_wrap(~ session, scales = "free_x", ncol = 6) + # Facet by session, adjust columns
theme_minimal() +
labs(title = "Average Spike Count per Brain Area Across Sessions",
x = "Brain Area",
y = "Avg Spike Count") +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) # Rotate x-axis labels for readability
This graph demonstrates the average spike count of each brain area per
session across all 18 sessions.
average_spike_area <- function(this_session) {
# Get the number of trials in the session dynamically
num_trials <- length(this_session$spks)
# Initialize an empty list to store results
results_list <- list()
# Loop through each trial
for (i.t in seq_len(num_trials)) {
spk.trial <- this_session$spks[[i.t]]
area <- this_session$brain_area
spk.count <- apply(spk.trial, 1, sum)
spk.average <- tapply(spk.count, area, mean)
# Convert to data frame and store trial index
trial_df <- data.frame(
trial = i.t,
brain_area = names(spk.average),
avg_spike_count = as.numeric(spk.average)
)
results_list[[i.t]] <- trial_df
}
# Combine all results into a single data frame
results_df <- do.call(rbind, results_list)
return(results_df)
}
# Function to process all sessions and account for different trial counts
average_spike_area_all_sessions <- function(sessions) {
# Initialize an empty list for all session results
all_results_list <- list()
# Loop through each session
for (session_idx in seq_along(sessions)) {
this_session <- sessions[[session_idx]] # ✅ Fix: Use [[ ]] instead of [ ]
# Get the trial data for this session
session_df <- average_spike_area(this_session)
# Add session index
session_df$session <- session_idx
# Store in list
all_results_list[[session_idx]] <- session_df
}
# Combine all session results into one big data frame
all_results_df <- do.call(rbind, all_results_list)
return(all_results_df)
}
# ✅ Fix: Use `list()`, not `c()`
#sessionlist <- list(session[[1]], session[[2]], session[[3]])
# ✅ Fix: Use `lapply` for all 18 sessions
sessionlist <- lapply(1:18, function(i) session[[i]])
# Example usage
results_df_allsessions <- average_spike_area_all_sessions(sessionlist)
# Print the first few rows
print(head(results_df_allsessions))## trial brain_area avg_spike_count session
## 1 1 ACA 1.2660550 1
## 2 1 CA3 1.5294118 1
## 3 1 DG 2.3235294 1
## 4 1 LS 1.9352518 1
## 5 1 MOs 0.9380531 1
## 6 1 root 0.5000000 1dim(results_df_allsessions)## [1] 49173 4ggplot(results_df_allsessions, aes(x=brain_area, y=avg_spike_count, color=factor(session))) +
geom_jitter(width = 0.2, height = 0, alpha = 0.5) + # Jitter to reduce overlap
stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "black") + # Larger black mean points
scale_color_viridis_d(option = "plasma") + # Better color scale
theme_minimal() + # Cleaner theme
theme(axis.text.x = element_text(angle = 45, hjust = 1)) + # Rotate x-axis labels
labs(title = "Average Spike Count by Brain Area and Session",
x = "Brain Area",
y = "Avg Spike Count",
color = "Session") # Clearer labels
This graph collects the results across all sessions to identify the
spike rate of different brain areas. The aggregate data also
demonstrates certain brain areas with higher spike counts than other
areas.
Using this data, I will do further investigation to understand whether higher average spike rates in these brain areas have any correlation with response success. I hypothesize currently that higher spike rates may lead to increased response success.
results_df_allsessions$mousename <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$feedback <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$rightcontrast <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$leftcontrast <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$contrastdiff <- rep(0, nrow(results_df_allsessions))
for(i in 1:nrow(results_df_allsessions)){
sessnum <- as.numeric(results_df_allsessions$session[i])
results_df_allsessions$mousename[i] <- session[[sessnum]]$mouse_name
trialnum <- as.numeric(results_df_allsessions$trial[i])
results_df_allsessions$feedback[i] <- session[[sessnum]]$feedback_type[[trialnum]]
results_df_allsessions$rightcontrast[i] <- session[[sessnum]]$contrast_right[[trialnum]]
results_df_allsessions$leftcontrast[i] <- session[[sessnum]]$contrast_left[[trialnum]]
results_df_allsessions$contrastdiff[i] <- results_df_allsessions$rightcontrast[i] - results_df_allsessions$leftcontrast[i]
}
head(results_df_allsessions)## trial brain_area avg_spike_count session mousename feedback rightcontrast
## 1 1 ACA 1.2660550 1 Cori 1 0.5
## 2 1 CA3 1.5294118 1 Cori 1 0.5
## 3 1 DG 2.3235294 1 Cori 1 0.5
## 4 1 LS 1.9352518 1 Cori 1 0.5
## 5 1 MOs 0.9380531 1 Cori 1 0.5
## 6 1 root 0.5000000 1 Cori 1 0.5
## leftcontrast contrastdiff
## 1 0 0.5
## 2 0 0.5
## 3 0 0.5
## 4 0 0.5
## 5 0 0.5
## 6 0 0.5# Filter the data for session 2
session2_data <- results_df_allsessions[results_df_allsessions$session == 5, ]
# If you want to see how spike counts vary by brain area
# Assuming your original plot code is similar to this
ggplot(session2_data, aes(x = trial, y = avg_spike_count, color = as.factor(feedback))) +
geom_line(alpha = 0.5) +
facet_wrap(~ brain_area) +
labs(title = "Average Spike Count by Trial for Each Brain Area in Session 2",
x = "Trial",
y = "Average Spike Count") +
# Add smoothed trend lines for each feedback value
geom_smooth(method = "loess", se = FALSE, linewidth = 1.2) +
# Customize colors and labels
scale_color_manual(values = c("-1" = "red", "1" = "turquoise"),
name = "feedback") +
theme_minimal() +
theme(legend.position = "bottom")## `geom_smooth()` using formula = 'y ~ x'
results_df_allsessions[20000, ]## trial brain_area avg_spike_count session mousename feedback rightcontrast
## 20000 236 VISam 1 9 Hench 1 0
## leftcontrast contrastdiff
## 20000 0 0unique(results_df_allsessions$contrastdiff)## [1] 0.50 0.00 -0.50 -0.25 1.00 0.75 0.25 -0.75 -1.00contrastdiff_counts <- results_df_allsessions %>%
ungroup() %>%
mutate(contrastdiff = as.numeric(as.character(contrastdiff))) %>%
count(contrastdiff) %>%
mutate(proportion = n / sum(n))
contrastdiff_counts## contrastdiff n proportion
## 1 -1.00 4471 0.09092388
## 2 -0.75 4165 0.08470095
## 3 -0.50 5443 0.11069083
## 4 -0.25 3276 0.06662193
## 5 0.00 16176 0.32896102
## 6 0.25 3609 0.07339394
## 7 0.50 4639 0.09434039
## 8 0.75 2997 0.06094808
## 9 1.00 4397 0.08941899contrastdiff_counts$sign <- ifelse(contrastdiff_counts$contrastdiff < 0, "negative",
ifelse(contrastdiff_counts$contrastdiff > 0, "positive", "zero"))
print(contrastdiff_counts)## contrastdiff n proportion sign
## 1 -1.00 4471 0.09092388 negative
## 2 -0.75 4165 0.08470095 negative
## 3 -0.50 5443 0.11069083 negative
## 4 -0.25 3276 0.06662193 negative
## 5 0.00 16176 0.32896102 zero
## 6 0.25 3609 0.07339394 positive
## 7 0.50 4639 0.09434039 positive
## 8 0.75 2997 0.06094808 positive
## 9 1.00 4397 0.08941899 positiveThis table investigates the number and combination of contrast differences within the total data. The table demonstrates that there is not an equal proportion of each contrast combination within the data.
ggplot(contrastdiff_counts, mapping=aes(x = "", y = proportion, fill = factor(contrastdiff))) + geom_bar(stat = "identity", width = 1) +
coord_polar(theta = "y") + labs(title = "Pie chart demonstrating proportion of trials with contrast differences", subtitle= "(contrast_right - contrast_left)", fill="Contrast Difference") 
The pie chart above further illustrates this point. We see from the pie
chart as well as from the table that the value of 0 contrast_diff makes
up a much larger proportion of the data than the other contrast_diffs. I
calculated the value of “contrast_diff” through the method:
contrast_right - contrast_left. Therefore, negative values of
contrast_diff indicate that there was a higher contrast_left value than
contrast_right, while positive values indicate that there was a higher
contrast_right value than contrast left.
A contrast_diff value of 0 can come from two methods. One scenario is when both left and right contrasts are 0. Another scenario is when left and right contrasts are equal, but non-zero.
The constrast_diff value of 0 is particularly important for me to consider in regards to prediction power in further steps of this assignment. Given that the mouse’s actions in the second case do not have a bearing on the success of the trial, it stands out as different compared to other trials. Thus, including this data may be problematic to overall predictions.
“When left and right contrasts are equal but non-zero, left or right will be randomly chosen (50%) as the correct choice.”
ggplot(contrastdiff_counts, mapping = aes(x=contrastdiff, y=proportion, fill = sign)) + geom_col() + facet_wrap(~abs(contrastdiff))
zero_contrast_diff <- results_df_allsessions %>%
filter(contrastdiff == 0) %>%
ungroup %>%
mutate(left_contrast_category = ifelse(leftcontrast != 0, "Non-zero", "Zero")) %>%
count(left_contrast_category) %>%
mutate(proportion = n / sum(n))
zero_contrast_diff## left_contrast_category n proportion
## 1 Non-zero 3037 0.1877473
## 2 Zero 13139 0.8122527ggplot(zero_contrast_diff, mapping=aes(x = "", y = proportion, fill = factor(left_contrast_category))) + geom_bar(stat = "identity", width = 1) +
coord_polar(theta = "y") + labs(title = "Contrast_diff = 0 trials", subtitle= "Proportion of trials where left/right contrast do not equal 0", fill="Left Contrast Category") 
I chose to investigate the trials where contrast_diff = 0 in more detail, in order to understand how many of these trials involve both left contrast and right contrast being 0 versus the left contrast and right contrast having equivalent but non-zero values. In the second case, if right contrast and left contrast are equal but non-zero, their difference (contrast_diff) will equal 0. I chose to look at the left contrast values, comparing the instances where left contrast = 0 versus instances where left contrast did not equal 0.
As I mentioned previously, this distinction is important because the mouse’s behavior in the first scenario truly yields a success/failure based on the mouse’s decision, while the second scenario yields a success/failure randomly. Therefore, I wanted to see what proportion of trials where contrast_diff = 0 came from each scenario.
The analysis demonstrates that around 80% of trials where contrast_diff = 0 come from the first scenario, where the left and right contrasts were both 0, and the mouse either successfully held the wheel still or incorrectly moved the wheel.
20% of trials were instances of the left and right contrasts being equal but non-zero. This means that 0.32896102 * 0.1877473 = 0.06176154 (6.17%) of all trials had feedbacks that were randomly assigned, rather than being correlated with the mouse’s behavior. This is a relatively small proportion of the total data, but is important to note when I build my prediction model.
ggplot(results_df_allsessions, aes(x=brain_area, y=avg_spike_count, color=brain_area)) +
geom_jitter(width = 0.2, height = 0, alpha = 0.5) + # Jitter to reduce overlap
stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "black") + # Larger black mean points
scale_color_viridis_d(option = "plasma") + # Better color scale
theme_minimal() + # Cleaner theme
theme(axis.text.x = element_text(angle = 45, hjust = 1)) + # Rotate x-axis labels
labs(title = "Average Spike Count by Brain Area and Mouse",
x = "Brain Area",
y = "Avg Spike Count",
color = "Session") + # Clearer labels
facet_wrap(~mousename)
The graph above reiterates the differences in brain areas being
triggered in different mice. It specifically demonstrates that the brain
areas with highest average spike count may not be the same for each
moouse.
common_brain_areas <- results_df_allsessions %>%
group_by(brain_area) %>%
summarise(session_count = n_distinct(session)) %>%
filter(session_count == n_distinct(results_df_allsessions$session)) %>%
pull(brain_area)
# Print common brain areas
print(common_brain_areas)## character(0)I wanted to check if there was a certain brain area that was common to all sessions that could be an indicator of success rate by firing. However, there are no brain areas that are common to all 18 sessions.
session_counts_per_mouse <- results_df_allsessions %>%
group_by(mousename) %>%
summarise(total_sessions = n_distinct(session))
# Find common brain areas per mouse
common_brain_areas_per_mouse <- results_df_allsessions %>%
group_by(mousename, brain_area) %>%
summarise(session_count = n_distinct(session), .groups = "drop") %>%
inner_join(session_counts_per_mouse, by = "mousename") %>%
filter(session_count == total_sessions) %>%
dplyr::select(mousename, brain_area)
# Print results
print(common_brain_areas_per_mouse)## # A tibble: 2 × 2
## mousename brain_area
## <chr> <chr>
## 1 Cori root
## 2 Hench rootI then checked if there were brain areas common to the sessions of a given mouse. There is only one brain area common to mouse Cori and mouse Hench, being “root”. The other two mice do not have a common brain area across all of their respective sessions.
ggplot(results_df_allsessions, aes(x = factor(feedback), y = avg_spike_count, fill = factor(feedback))) +
geom_point() + # Boxplot to show distribution
stat_summary(fun = mean, geom = "point", size = 3, color = "red", shape = 18) + # Mean points
facet_wrap(~ brain_area, scales = "free") + # Separate plots for each brain area
scale_fill_viridis_d(option = "plasma") + # Color scale
theme_minimal() + # Cleaner theme
labs(title = "Average Spike Count vs Feedback Type for Each Brain Area",
x = "Feedback Type",
y = "Average Spike Count",
fill = "Feedback") +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) # Rotate x-axis labels for readability
# Compute mean feedback per brain area
feedback_summary <- results_df_allsessions %>%
group_by(brain_area, feedback) %>%
summarize(mean_spike = mean(avg_spike_count, na.rm = TRUE), .groups = "drop") %>%
spread(feedback, mean_spike) # Convert feedback categories into separate columns
# Compute difference between max and min feedback means
feedback_summary <- feedback_summary %>%
mutate(feedback_diff = apply(dplyr::select(., -brain_area), 1, function(x) max(x, na.rm = TRUE) - min(x, na.rm = TRUE))) %>% arrange(desc(by = feedback_diff))
# Find the brain area with the largest difference
largest_diff_brain_area <- feedback_summary %>%
arrange(desc(feedback_diff)) %>%
head(1)
feedback_summary## # A tibble: 62 × 4
## brain_area `-1` `1` feedback_diff
## <chr> <dbl> <dbl> <dbl>
## 1 RN 7.81 8.45 0.637
## 2 MRN 2.85 3.36 0.510
## 3 SCs 1.51 1.92 0.407
## 4 PO 1.96 2.37 0.403
## 5 MB 2.02 2.40 0.386
## 6 MS 4.81 4.49 0.321
## 7 CA3 1.92 2.23 0.302
## 8 SCm 1.67 1.97 0.295
## 9 MOp 1.09 1.37 0.285
## 10 SCsg 1.01 1.26 0.256
## # ℹ 52 more rowsprint(largest_diff_brain_area)## # A tibble: 1 × 4
## brain_area `-1` `1` feedback_diff
## <chr> <dbl> <dbl> <dbl>
## 1 RN 7.81 8.45 0.637The dataframe above was designed to understand whether there is a difference in feedback type based on brain area. However, there seems to be a weak-to-no trend between the average spike count and feedback type. There isn’t a distinctly greater spike count for positive feedback results versus negative feedback results. This dataframe identifies the top brain areas with the greatest differences in spike count.
# Assuming your data is in a dataframe called 'df'
# with columns 'brain_area', '-1', and '1'
# Perform paired t-test
result <- t.test(feedback_summary$`-1`, feedback_summary$`1`, paired = TRUE)
# Print the result
print(result)##
## Paired t-test
##
## data: feedback_summary$`-1` and feedback_summary$`1`
## t = -6.6408, df = 61, p-value = 9.564e-09
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -0.16080352 -0.08637526
## sample estimates:
## mean difference
## -0.1235894# If you want to see the p-value specifically
print(paste("p-value:", result$p.value))## [1] "p-value: 9.56354427391337e-09"I conducted a paired t-test to see if there was a statistically significant difference in average spike count between successful and unsuccessful trials across all brain areas recorded in this dataset. The paired t-test yielded a p-value of 9.564e-09. If we set a threshold of 0.05, we see that the p-value is significant. This indicates that there is a statistically significant difference in average spike count between successful and unsuccessful trials. This tells us that average spike count is an indicator of success/failure, and should be included in our prediction model.
t_test_result <- t.test(avg_spike_count ~ feedback, data = results_df_allsessions, paired = FALSE)
print(t_test_result)##
## Welch Two Sample t-test
##
## data: avg_spike_count by feedback
## t = -15.983, df = 30578, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group -1 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.2025863 -0.1583267
## sample estimates:
## mean in group -1 mean in group 1
## 1.387089 1.567546I also conducted a t-test on the entire dataset. Here, we also see a statistically difference in the means between the average spike counts of successful versus unsuccessful trials. This corroberates the previous t-test.
feedbacksummary_long <- feedback_summary %>%
pivot_longer(cols = c(`-1`, `1`), names_to = "feedback", values_to = "value")
print(feedbacksummary_long)## # A tibble: 124 × 4
## brain_area feedback_diff feedback value
## <chr> <dbl> <chr> <dbl>
## 1 RN 0.637 -1 7.81
## 2 RN 0.637 1 8.45
## 3 MRN 0.510 -1 2.85
## 4 MRN 0.510 1 3.36
## 5 SCs 0.407 -1 1.51
## 6 SCs 0.407 1 1.92
## 7 PO 0.403 -1 1.96
## 8 PO 0.403 1 2.37
## 9 MB 0.386 -1 2.02
## 10 MB 0.386 1 2.40
## # ℹ 114 more rowsggplot(results_df_allsessions, aes(x = factor(feedback), y = avg_spike_count, fill = factor(feedback))) +
geom_point() + # Boxplot to show distribution
stat_summary(fun = mean, geom = "point", size = 3, color = "red", shape = 18) + # Mean points
facet_wrap(~ mousename, scales = "free") + # Separate plots for each brain area
scale_fill_viridis_d(option = "plasma") + # Color scale
theme_minimal() + # Cleaner theme
labs(title = "Average Spike Count vs Feedback Type for Each Mouse",
x = "Feedback Type",
y = "Average Spike Count",
fill = "Feedback") +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) # Rotate x-axis labels for readability
ggplot(results_df_allsessions, aes(x=session, y=avg_spike_count)) +
geom_jitter(width = 0.2, height = 0, alpha = 0.5) + # Jitter to reduce overlap
stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "red") + # Larger black mean points
scale_color_viridis_d(option = "plasma") + # Better color scale
theme_minimal() + # Cleaner theme
theme(axis.text.x = element_text(angle = 45, hjust = 1)) + # Rotate x-axis labels
labs(title = "Average Spike Count by Session",
x = "Session",
y = "Avg Spike Count") # Clearer labels
Some sessions have a higher average spike count than others.
results_df_allsessions <- results_df_allsessions %>%
group_by(session) %>%
mutate(avg_spike_count_session_mean = mean(avg_spike_count, na.rm = TRUE))
results_df_allsessions <- results_df_allsessions %>%
group_by(session, trial) %>%
mutate(avg_spike_count_trial_mean = mean(avg_spike_count, na.rm = TRUE))
results_df_allsessions## # A tibble: 49,173 × 11
## # Groups: session, trial [5,081]
## trial brain_area avg_spike_count session mousename feedback rightcontrast
## <int> <chr> <dbl> <int> <chr> <dbl> <dbl>
## 1 1 ACA 1.27 1 Cori 1 0.5
## 2 1 CA3 1.53 1 Cori 1 0.5
## 3 1 DG 2.32 1 Cori 1 0.5
## 4 1 LS 1.94 1 Cori 1 0.5
## 5 1 MOs 0.938 1 Cori 1 0.5
## 6 1 root 0.5 1 Cori 1 0.5
## 7 1 SUB 2.08 1 Cori 1 0.5
## 8 1 VISp 1.69 1 Cori 1 0.5
## 9 2 ACA 0.587 1 Cori 1 0
## 10 2 CA3 1.71 1 Cori 1 0
## # ℹ 49,163 more rows
## # ℹ 4 more variables: leftcontrast <dbl>, contrastdiff <dbl>,
## # avg_spike_count_session_mean <dbl>, avg_spike_count_trial_mean <dbl>results_df_allsessions$feedback <- as.factor(results_df_allsessions$feedback)
results_df_allsessions$contrastdiff <- as.factor(results_df_allsessions$contrastdiff)
# Compute proportions
results_allsessions_summary <- results_df_allsessions %>%
group_by(contrastdiff, feedback) %>%
summarise(count = n(), .groups = "drop") %>%
group_by(contrastdiff) %>%
mutate(prop = count / sum(count)) # Normalize by contrastdiff
# Plot using proportions
ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
geom_bar(stat = "identity", position = "dodge") +
labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 
results_brainarea_summary <- results_df_allsessions %>%
group_by(contrastdiff, feedback, brain_area) %>%
summarise(count = n(), .groups = "drop") %>%
group_by(contrastdiff, brain_area) %>%
mutate(prop = count / sum(count)) # Normalize by contrastdiff
results_allsessions_summary## # A tibble: 18 × 4
## # Groups: contrastdiff [9]
## contrastdiff feedback count prop
## <fct> <fct> <int> <dbl>
## 1 -1 -1 752 0.168
## 2 -1 1 3719 0.832
## 3 -0.75 -1 1214 0.291
## 4 -0.75 1 2951 0.709
## 5 -0.5 -1 1127 0.207
## 6 -0.5 1 4316 0.793
## 7 -0.25 -1 1165 0.356
## 8 -0.25 1 2111 0.644
## 9 0 -1 6152 0.380
## 10 0 1 10024 0.620
## 11 0.25 -1 1159 0.321
## 12 0.25 1 2450 0.679
## 13 0.5 -1 1167 0.252
## 14 0.5 1 3472 0.748
## 15 0.75 -1 647 0.216
## 16 0.75 1 2350 0.784
## 17 1 -1 1150 0.262
## 18 1 1 3247 0.738results_brainarea_summary ## # A tibble: 1,078 × 5
## # Groups: contrastdiff, brain_area [558]
## contrastdiff feedback brain_area count prop
## <fct> <fct> <chr> <int> <dbl>
## 1 -1 -1 ACA 12 0.154
## 2 -1 -1 ACB 3 0.136
## 3 -1 -1 AUD 4 0.211
## 4 -1 -1 BLA 1 0.0333
## 5 -1 -1 CA1 63 0.209
## 6 -1 -1 CA3 23 0.135
## 7 -1 -1 CP 4 0.0615
## 8 -1 -1 DG 36 0.182
## 9 -1 -1 GPe 22 0.210
## 10 -1 -1 ILA 3 0.0909
## # ℹ 1,068 more rowsggplot(results_brainarea_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
geom_bar(stat = "identity", position = "dodge") + facet_wrap(~brain_area) +
labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 
results_mouse_summary <- results_df_allsessions %>%
group_by(contrastdiff, feedback, mousename) %>%
summarise(count = n(), .groups = "drop") %>%
group_by(contrastdiff) %>%
mutate(prop = count / sum(count)) # Normalize by contrastdiff
ggplot(results_mouse_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
geom_bar(stat = "identity", position = "dodge") + facet_wrap(~mousename) +
labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 
df_diff <- results_allsessions_summary %>%
group_by(contrastdiff) %>%
summarise(prop_diff = diff(prop)) # Calculates difference between the two proportions
# Print the new dataframe
print(df_diff)## # A tibble: 9 × 2
## contrastdiff prop_diff
## <fct> <dbl>
## 1 -1 0.664
## 2 -0.75 0.417
## 3 -0.5 0.586
## 4 -0.25 0.289
## 5 0 0.239
## 6 0.25 0.358
## 7 0.5 0.497
## 8 0.75 0.568
## 9 1 0.477This graph demonstrates that for large contrast trials, such as -1 or 1, there seems to be a larger proportion of successes (1) versus failures compared to low contrast trials (-1). This shows that contrast difference may be a good indicator of success. I will include this variable in my prediction model.
ggplot(df_diff, mapping=aes(x=contrastdiff, y=prop_diff)) + geom_col()
This graph demonstrates there is a larger difference between the
proportion of successes (1) versus proportion of failures (-1) in groups
whith higher absolute contrastdiff values (such as -1 or 1) than ones
with low absolute contrastdiff values (0). This shows us that contrast
values within a trial seem to be correlated with mouse success. I will
plan on including contrast values within my prediction model.
contingency_table <- xtabs(count ~ contrastdiff + feedback, data = results_allsessions_summary)
print(contingency_table)## feedback
## contrastdiff -1 1
## -1 752 3719
## -0.75 1214 2951
## -0.5 1127 4316
## -0.25 1165 2111
## 0 6152 10024
## 0.25 1159 2450
## 0.5 1167 3472
## 0.75 647 2350
## 1 1150 3247# Chi-square test of independence
chi_square_result <- chisq.test(contingency_table)
print(chi_square_result)##
## Pearson's Chi-squared test
##
## data: contingency_table
## X-squared = 1338.7, df = 8, p-value < 2.2e-16# If you want to use Fisher's exact test (especially for small counts)
# Note: This might be computationally intensive for large tables
fisher_result <- fisher.test(contingency_table, simulate.p.value = TRUE, B = 10000)
print(fisher_result)##
## Fisher's Exact Test for Count Data with simulated p-value (based on
## 10000 replicates)
##
## data: contingency_table
## p-value = 9.999e-05
## alternative hypothesis: two.sided# Visualize the relationship
library(ggplot2)
# Convert to long format for proportion plotting
results_allsessions_summary$prop <- results_allsessions_summary$count / sum(results_allsessions_summary$count)
# Plot the proportions
ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
geom_bar(stat = "identity", position = "dodge") +
labs(title = "Proportion by Contrast Difference and Feedback",
x = "Contrast Difference",
y = "Proportion") +
theme_minimal()
I wanted to conduct a statistical test to see whether there was a
statistically significant correlation between contrast difference and
feedback type. I conducted a Chi Square Test of Independence and a
Fisher Test of Indepenence. Both tests yielded p-values under 0.05,
indicating that tere is a relationship between contrast difference and
feedback type. Thus, this gives me evidence to include contrast
difference, or a similar interaction variable between left and right
contrast, into my prediction model.
ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
geom_bar(stat = "identity", position = "dodge") +
labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") + facet_wrap(~ feedback)
ggplot(results_df_allsessions, mapping=aes(x=contrastdiff, y=avg_spike_count)) + geom_jitter() + stat_summary(fun = mean, geom = "point", size = 1, shape = 18, color = "red") + facet_wrap(~ brain_area)
avg_spike_count_per_contrastdiff <- results_df_allsessions %>%
group_by(contrastdiff, feedback) %>%
summarise(mean_spike_count = mean(avg_spike_count, na.rm = TRUE)) ## `summarise()` has grouped output by 'contrastdiff'. You can override using the
## `.groups` argument.# Print the new dataframe
print(avg_spike_count_per_contrastdiff)## # A tibble: 18 × 3
## # Groups: contrastdiff [9]
## contrastdiff feedback mean_spike_count
## <fct> <fct> <dbl>
## 1 -1 -1 1.06
## 2 -1 1 1.58
## 3 -0.75 -1 1.34
## 4 -0.75 1 1.62
## 5 -0.5 -1 1.28
## 6 -0.5 1 1.63
## 7 -0.25 -1 1.11
## 8 -0.25 1 1.50
## 9 0 -1 1.49
## 10 0 1 1.39
## 11 0.25 -1 1.27
## 12 0.25 1 1.61
## 13 0.5 -1 1.45
## 14 0.5 1 1.66
## 15 0.75 -1 1.39
## 16 0.75 1 1.74
## 17 1 -1 1.52
## 18 1 1 1.78ggplot(avg_spike_count_per_contrastdiff, aes(x = contrastdiff, y = mean_spike_count, group = feedback, color = feedback)) +
geom_line() +
geom_point() +
facet_wrap(~ feedback) + # Optional: facet by feedback for separate panels
labs(title = "Mean Spike Count vs. Contrast Difference",
x = "Contrast Difference",
y = "Mean Spike Count")
ggplot(results_df_allsessions, mapping=aes(x=trial, y=avg_spike_count_trial_mean)) + geom_line() + facet_wrap(~session)
avg_spike_count_diff <- avg_spike_count_per_contrastdiff %>%
group_by(contrastdiff) %>%
summarise(mean_spike_diff = diff(mean_spike_count))
avg_spike_count_diff## # A tibble: 9 × 2
## contrastdiff mean_spike_diff
## <fct> <dbl>
## 1 -1 0.521
## 2 -0.75 0.274
## 3 -0.5 0.344
## 4 -0.25 0.386
## 5 0 -0.107
## 6 0.25 0.345
## 7 0.5 0.216
## 8 0.75 0.349
## 9 1 0.258ggplot(avg_spike_count_diff, mapping=aes(x=contrastdiff, y=mean_spike_diff)) + geom_col()
I now want to conduct PCA on the average spike data for each session. I want to do this in order to reduce the number of dimensions needed to account for brain area spike count data.
# Create a function to analyze a single session
analyze_session_pca <- function(session_data, session_id) {
# First check if spks has elements
if (length(session_data$spks) == 0) {
cat("Session", session_id, ": The spks list is empty\n")
return(list(success = FALSE, message = "The spks list is empty"))
}
# Check if any elements have length > 0
element_lengths <- sapply(session_data$spks, length)
if (all(element_lengths == 0)) {
cat("Session", session_id, ": All elements in spks are empty\n")
return(list(success = FALSE, message = "All elements in spks are empty"))
}
cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
# Proceed with the original code
n_trials <- length(session_data$spks)
max_length <- max(element_lengths)
cat(" Number of trials:", n_trials, "\n")
cat(" Max length of spike vectors:", max_length, "\n")
spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
# Fill the matrix with spike data - more robustly
for (i in 1:n_trials) {
if (length(session_data$spks[[i]]) > 0) {
spk_data <- session_data$spks[[i]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Check if the matrix has any non-zero values
if (all(spike_matrix == 0)) {
cat(" Warning: Spike matrix contains only zeros\n")
return(list(success = FALSE, message = "Spike matrix contains only zeros"))
}
# Check column variances
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- sum(col_vars > 0)
cat(" Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
if (non_zero_vars >= 2) {
# Keep only columns with variance
spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
cat(" Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
# Run PCA
tryCatch({
pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
# Calculate variance explained
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# Number of PCs for different thresholds
pcs_90 <- min(which(cumulative_var >= 0.9))
if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
pcs_95 <- min(which(cumulative_var >= 0.95))
if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
pcs_99 <- min(which(cumulative_var >= 0.99))
if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
pcs_100 <- length(var_explained)
cat(" PCs for 90% variance:", pcs_90, "\n")
cat(" PCs for 95% variance:", pcs_95, "\n")
cat(" PCs for 99% variance:", pcs_99, "\n")
cat(" PCs for 100% variance:", pcs_100, "\n")
return(list(
success = TRUE,
session_id = session_id,
n_trials = n_trials,
n_features = non_zero_vars,
pcs_90 = pcs_90,
pcs_95 = pcs_95,
pcs_99 = pcs_99,
pcs_100 = pcs_100,
var_explained = var_explained
))
}, error = function(e) {
cat(" Error in PCA:", e$message, "\n")
return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
})
} else {
cat(" Not enough columns with variance for PCA\n")
return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
}
}
# Process all 18 sessions
results <- list()
for (i in 1:18) {
cat("\nAnalyzing session", i, "\n")
# Check if session exists
if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
# Get the correct session data
if (exists(paste0("session", i))) {
session_data <- get(paste0("session", i))
} else {
session_data <- session[[i]]
}
# Analyze the session
result <- analyze_session_pca(session_data, i)
results[[as.character(i)]] <- result
} else {
cat("Session", i, "data not found\n")
results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
}
}
# Create summary table
summary_table <- data.frame(
Session = integer(),
NumTrials = integer(),
NumFeatures = integer(),
PCs_90_percent = integer(),
PCs_95_percent = integer(),
PCs_99_percent = integer(),
PCs_100_percent = integer()
)
for (session_id in names(results)) {
result <- results[[session_id]]
if (result$success) {
summary_table <- rbind(summary_table, data.frame(
Session = as.integer(session_id),
NumTrials = result$n_trials,
NumFeatures = result$n_features,
PCs_90_percent = result$pcs_90,
PCs_95_percent = result$pcs_95,
PCs_99_percent = result$pcs_99,
PCs_100_percent = result$pcs_100
))
} else {
# Add a row with NA values for failed sessions
summary_table <- rbind(summary_table, data.frame(
Session = as.integer(session_id),
NumTrials = NA,
NumFeatures = NA,
PCs_90_percent = NA,
PCs_95_percent = NA,
PCs_99_percent = NA,
PCs_100_percent = NA
))
}
}
# Sort by session and print
summary_table <- summary_table[order(summary_table$Session), ]
print(summary_table)
# Calculate percentage of features needed
summary_table$Percent_PCs_90 <- (summary_table$PCs_90_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_95 <- (summary_table$PCs_95_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_99 <- (summary_table$PCs_99_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_100 <- (summary_table$PCs_100_percent / summary_table$NumFeatures) * 100
# Print average percentages (excluding NAs)
cat("\nAverage percentage of features needed:\n")
cat("For 90% variance:", mean(summary_table$Percent_PCs_90, na.rm = TRUE), "%\n")
cat("For 95% variance:", mean(summary_table$Percent_PCs_95, na.rm = TRUE), "%\n")
cat("For 99% variance:", mean(summary_table$Percent_PCs_99, na.rm = TRUE), "%\n")
cat("For 100% variance:", mean(summary_table$Percent_PCs_100, na.rm = TRUE), "%\n")Given that each session contains data from a different number of neurons, and these neurons come from varying brain areas, each session has a varying number of PCs needed to explain 90% of the total variance of their datasets. Because of this, I wanted to attempt bootstraping to standardize the number of PCs needed to explain 90% of the variance. I wanted to do this because I want to include a set number of PCs into my prediction model. However, just choosing a set number of PCs without bootstrapping beforehand would result in different amounts of variance of each session being encompassed by the prediction model. I have included the code that I tried to use to do bootstrapping, but it was not successful. If given more time, I would have tried to troubleshoot this.
Another method I thought to deal with the problem of a varying number of PCs per session is to randomly select 114 trials of each session in order to standardize the number of PCs per session. This theoretically should encompass the variability within each session as long as the sample size of 114 is large enough.
# Create a function to analyze a single session with random sampling
analyze_session_pca <- function(session_data, session_id, sample_size = 114) {
# First check if spks has elements
if (length(session_data$spks) == 0) {
cat("Session", session_id, ": The spks list is empty\n")
return(list(success = FALSE, message = "The spks list is empty"))
}
# Check if any elements have length > 0
element_lengths <- sapply(session_data$spks, length)
if (all(element_lengths == 0)) {
cat("Session", session_id, ": All elements in spks are empty\n")
return(list(success = FALSE, message = "All elements in spks are empty"))
}
# Check if we have enough trials for sampling
n_trials <- length(session_data$spks)
if (n_trials < sample_size) {
cat("Session", session_id, ": Not enough trials for sampling (", n_trials, " < ", sample_size, ")\n")
return(list(success = FALSE, message = paste("Not enough trials for sampling:", n_trials, "<", sample_size)))
}
cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
# Randomly sample trials
set.seed(42 + session_id) # Set seed for reproducibility, different for each session
sampled_indices <- sample(1:n_trials, sample_size)
cat(" Randomly sampled", sample_size, "trials from", n_trials, "total trials\n")
# Get element lengths for sampled trials
sampled_element_lengths <- element_lengths[sampled_indices]
max_length <- max(sampled_element_lengths)
cat(" Max length of spike vectors in sample:", max_length, "\n")
spike_matrix <- matrix(0, nrow = sample_size, ncol = max_length)
# Fill the matrix with spike data - more robustly
for (i in 1:sample_size) {
original_idx <- sampled_indices[i]
if (length(session_data$spks[[original_idx]]) > 0) {
spk_data <- session_data$spks[[original_idx]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Check if the matrix has any non-zero values
if (all(spike_matrix == 0)) {
cat(" Warning: Spike matrix contains only zeros\n")
return(list(success = FALSE, message = "Spike matrix contains only zeros"))
}
# Check column variances
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- sum(col_vars > 0)
cat(" Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
if (non_zero_vars >= 2) {
# Keep only columns with variance
spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
cat(" Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
# Run PCA
tryCatch({
pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
# Calculate variance explained
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# Number of PCs for different thresholds
pcs_90 <- min(which(cumulative_var >= 0.9))
if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
pcs_95 <- min(which(cumulative_var >= 0.95))
if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
pcs_99 <- min(which(cumulative_var >= 0.99))
if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
pcs_100 <- length(var_explained)
cat(" PCs for 90% variance:", pcs_90, "\n")
cat(" PCs for 95% variance:", pcs_95, "\n")
cat(" PCs for 99% variance:", pcs_99, "\n")
cat(" PCs for 100% variance:", pcs_100, "\n")
# Extract variance explained by PC1 to PC10 (or as many as available)
var_pc1_10 <- numeric(10)
max_pcs <- min(10, length(var_explained))
var_pc1_10[1:max_pcs] <- var_explained[1:max_pcs] * 100 # Convert to percentage
return(list(
success = TRUE,
session_id = session_id,
n_trials = sample_size,
original_n_trials = n_trials,
n_features = non_zero_vars,
pcs_90 = pcs_90,
pcs_95 = pcs_95,
pcs_99 = pcs_99,
pcs_100 = pcs_100,
var_explained = var_explained,
var_pc1_10 = var_pc1_10
))
}, error = function(e) {
cat(" Error in PCA:", e$message, "\n")
return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
})
} else {
cat(" Not enough columns with variance for PCA\n")
return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
}
}
# Process all 18 sessions
results <- list()
for (i in 1:18) {
cat("\nAnalyzing session", i, "\n")
# Check if session exists
if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
# Get the correct session data
if (exists(paste0("session", i))) {
session_data <- get(paste0("session", i))
} else {
session_data <- session[[i]]
}
# Analyze the session with 114 sampled trials
result <- analyze_session_pca(session_data, i, sample_size = 114)
results[[as.character(i)]] <- result
} else {
cat("Session", i, "data not found\n")
results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
}
}##
## Analyzing session 1
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 114 total trials
## Max length of spike vectors in sample: 29360
## Columns with non-zero variance: 20245 out of 29360
## Running PCA on filtered matrix with dimensions: 114 20245
## PCs for 90% variance: 98
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 2
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 251 total trials
## Max length of spike vectors in sample: 42800
## Columns with non-zero variance: 29052 out of 42800
## Running PCA on filtered matrix with dimensions: 114 29052
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 3
## Session 3 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 228 total trials
## Max length of spike vectors in sample: 24760
## Columns with non-zero variance: 16260 out of 24760
## Running PCA on filtered matrix with dimensions: 114 16260
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 4
## Session 4 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 249 total trials
## Max length of spike vectors in sample: 70760
## Columns with non-zero variance: 42655 out of 70760
## Running PCA on filtered matrix with dimensions: 114 42655
## PCs for 90% variance: 98
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 5
## Session 5 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 254 total trials
## Max length of spike vectors in sample: 43080
## Columns with non-zero variance: 25561 out of 43080
## Running PCA on filtered matrix with dimensions: 114 25561
## PCs for 90% variance: 96
## PCs for 95% variance: 104
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 6
## Session 6 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 290 total trials
## Max length of spike vectors in sample: 46760
## Columns with non-zero variance: 25253 out of 46760
## Running PCA on filtered matrix with dimensions: 114 25253
## PCs for 90% variance: 98
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 7
## Session 7 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 252 total trials
## Max length of spike vectors in sample: 23360
## Columns with non-zero variance: 14743 out of 23360
## Running PCA on filtered matrix with dimensions: 114 14743
## PCs for 90% variance: 97
## PCs for 95% variance: 105
## PCs for 99% variance: 111
## PCs for 100% variance: 114
##
## Analyzing session 8
## Session 8 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 250 total trials
## Max length of spike vectors in sample: 46280
## Columns with non-zero variance: 31628 out of 46280
## Running PCA on filtered matrix with dimensions: 114 31628
## PCs for 90% variance: 98
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 9
## Session 9 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 372 total trials
## Max length of spike vectors in sample: 31520
## Columns with non-zero variance: 19825 out of 31520
## Running PCA on filtered matrix with dimensions: 114 19825
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 10
## Session 10 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 447 total trials
## Max length of spike vectors in sample: 46880
## Columns with non-zero variance: 26450 out of 46880
## Running PCA on filtered matrix with dimensions: 114 26450
## PCs for 90% variance: 97
## PCs for 95% variance: 105
## PCs for 99% variance: 111
## PCs for 100% variance: 114
##
## Analyzing session 11
## Session 11 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 342 total trials
## Max length of spike vectors in sample: 34280
## Columns with non-zero variance: 18527 out of 34280
## Running PCA on filtered matrix with dimensions: 114 18527
## PCs for 90% variance: 93
## PCs for 95% variance: 102
## PCs for 99% variance: 111
## PCs for 100% variance: 114
##
## Analyzing session 12
## Session 12 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 340 total trials
## Max length of spike vectors in sample: 27920
## Columns with non-zero variance: 17825 out of 27920
## Running PCA on filtered matrix with dimensions: 114 17825
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 13
## Session 13 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 300 total trials
## Max length of spike vectors in sample: 39320
## Columns with non-zero variance: 29070 out of 39320
## Running PCA on filtered matrix with dimensions: 114 29070
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 14
## Session 14 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 268 total trials
## Max length of spike vectors in sample: 30240
## Columns with non-zero variance: 16406 out of 30240
## Running PCA on filtered matrix with dimensions: 114 16406
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 15
## Session 15 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 404 total trials
## Max length of spike vectors in sample: 29720
## Columns with non-zero variance: 19894 out of 29720
## Running PCA on filtered matrix with dimensions: 114 19894
## PCs for 90% variance: 99
## PCs for 95% variance: 106
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 16
## Session 16 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 280 total trials
## Max length of spike vectors in sample: 18960
## Columns with non-zero variance: 11637 out of 18960
## Running PCA on filtered matrix with dimensions: 114 11637
## PCs for 90% variance: 97
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 17
## Session 17 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 224 total trials
## Max length of spike vectors in sample: 22600
## Columns with non-zero variance: 13948 out of 22600
## Running PCA on filtered matrix with dimensions: 114 13948
## PCs for 90% variance: 98
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114
##
## Analyzing session 18
## Session 18 : Found non-empty elements in spks. Continuing with matrix creation...
## Randomly sampled 114 trials from 216 total trials
## Max length of spike vectors in sample: 43600
## Columns with non-zero variance: 24880 out of 43600
## Running PCA on filtered matrix with dimensions: 114 24880
## PCs for 90% variance: 98
## PCs for 95% variance: 105
## PCs for 99% variance: 112
## PCs for 100% variance: 114# Create summary table
summary_table <- data.frame(
Session = integer(),
NumTrials = integer(),
OriginalNumTrials = integer(),
NumFeatures = integer(),
PCs_90_percent = integer(),
PCs_95_percent = integer(),
PCs_99_percent = integer(),
PCs_100_percent = integer(),
# Add columns for variance explained by PC1-PC10
PC1_var = numeric(),
PC2_var = numeric(),
PC3_var = numeric(),
PC4_var = numeric(),
PC5_var = numeric(),
PC6_var = numeric(),
PC7_var = numeric(),
PC8_var = numeric(),
PC9_var = numeric(),
PC10_var = numeric()
)
for (session_id in names(results)) {
result <- results[[session_id]]
if (result$success) {
# Create a row with basic data
row_data <- data.frame(
Session = as.integer(session_id),
NumTrials = result$n_trials,
OriginalNumTrials = result$original_n_trials,
NumFeatures = result$n_features,
PCs_90_percent = result$pcs_90,
PCs_95_percent = result$pcs_95,
PCs_99_percent = result$pcs_99,
PCs_100_percent = result$pcs_100
)
# Add PC1-PC10 variance explained columns
for (i in 1:10) {
pc_col_name <- paste0("PC", i, "_var")
row_data[[pc_col_name]] <- result$var_pc1_10[i]
}
# Add to summary table
summary_table <- rbind(summary_table, row_data)
} else {
# Add a row with NA values for failed sessions
row_data <- data.frame(
Session = as.integer(session_id),
NumTrials = NA,
OriginalNumTrials = NA,
NumFeatures = NA,
PCs_90_percent = NA,
PCs_95_percent = NA,
PCs_99_percent = NA,
PCs_100_percent = NA
)
# Add NA for PC1-PC10 variance columns
for (i in 1:10) {
pc_col_name <- paste0("PC", i, "_var")
row_data[[pc_col_name]] <- NA
}
# Add to summary table
summary_table <- rbind(summary_table, row_data)
}
}
# Sort by session and print
summary_table <- summary_table[order(summary_table$Session), ]
print(summary_table)## Session NumTrials OriginalNumTrials NumFeatures PCs_90_percent
## 1 1 114 114 20245 98
## 2 2 114 251 29052 99
## 3 3 114 228 16260 99
## 4 4 114 249 42655 98
## 5 5 114 254 25561 96
## 6 6 114 290 25253 98
## 7 7 114 252 14743 97
## 8 8 114 250 31628 98
## 9 9 114 372 19825 99
## 10 10 114 447 26450 97
## 11 11 114 342 18527 93
## 12 12 114 340 17825 99
## 13 13 114 300 29070 99
## 14 14 114 268 16406 99
## 15 15 114 404 19894 99
## 16 16 114 280 11637 97
## 17 17 114 224 13948 98
## 18 18 114 216 24880 98
## PCs_95_percent PCs_99_percent PCs_100_percent PC1_var PC2_var PC3_var
## 1 105 112 114 1.779953 1.489777 1.360129
## 2 106 112 114 1.412653 1.319206 1.238637
## 3 106 112 114 1.523506 1.248789 1.191229
## 4 106 112 114 2.045992 1.638375 1.594623
## 5 104 112 114 1.578848 1.396761 1.334217
## 6 105 112 114 1.828749 1.538308 1.503184
## 7 105 111 114 1.606135 1.525454 1.476530
## 8 105 112 114 1.817687 1.323690 1.291326
## 9 106 112 114 1.508592 1.284582 1.267540
## 10 105 111 114 1.626179 1.402234 1.385251
## 11 102 111 114 2.524052 1.601526 1.527329
## 12 106 112 114 1.359262 1.334796 1.261916
## 13 106 112 114 1.540985 1.376574 1.278584
## 14 106 112 114 1.478728 1.324445 1.275598
## 15 106 112 114 1.569944 1.251698 1.193416
## 16 105 112 114 1.671487 1.611873 1.440631
## 17 105 112 114 1.563724 1.433467 1.309549
## 18 105 112 114 1.841076 1.574841 1.457821
## PC4_var PC5_var PC6_var PC7_var PC8_var PC9_var PC10_var
## 1 1.297396 1.219465 1.197312 1.188699 1.170753 1.157516 1.150384
## 2 1.219698 1.170271 1.143013 1.132157 1.125638 1.111366 1.101956
## 3 1.151488 1.140475 1.128939 1.121573 1.107861 1.092161 1.078884
## 4 1.456757 1.400045 1.391371 1.279732 1.217994 1.192211 1.164356
## 5 1.306999 1.284255 1.252626 1.226068 1.217555 1.209375 1.197608
## 6 1.359873 1.263691 1.222975 1.215187 1.202718 1.183915 1.168238
## 7 1.391132 1.375986 1.314003 1.286667 1.270604 1.252592 1.218452
## 8 1.256629 1.232262 1.221440 1.209255 1.199867 1.186113 1.179630
## 9 1.236511 1.198079 1.149763 1.123830 1.117309 1.095387 1.078011
## 10 1.367709 1.345614 1.254867 1.225793 1.207110 1.180358 1.154347
## 11 1.474568 1.444036 1.416267 1.402591 1.379047 1.367194 1.356399
## 12 1.204777 1.168579 1.152164 1.141098 1.128389 1.124143 1.101141
## 13 1.244693 1.183343 1.173702 1.115050 1.095916 1.082879 1.074838
## 14 1.248091 1.235812 1.199578 1.180375 1.145887 1.129307 1.124602
## 15 1.184412 1.114193 1.097269 1.073349 1.067567 1.061790 1.055905
## 16 1.326668 1.278838 1.235271 1.218880 1.197510 1.174195 1.167343
## 17 1.224394 1.192557 1.159807 1.147254 1.143114 1.130719 1.123963
## 18 1.402225 1.364637 1.331605 1.236571 1.201135 1.145590 1.119348# Calculate percentage of features needed
summary_table$Percent_PCs_90 <- (summary_table$PCs_90_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_95 <- (summary_table$PCs_95_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_99 <- (summary_table$PCs_99_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_100 <- (summary_table$PCs_100_percent / summary_table$NumFeatures) * 100
# Print average percentages (excluding NAs)
cat("\nAverage percentage of features needed:\n")##
## Average percentage of features needed:cat("For 90% variance:", mean(summary_table$Percent_PCs_90, na.rm = TRUE), "%\n")## For 90% variance: 0.4827795 %cat("For 95% variance:", mean(summary_table$Percent_PCs_95, na.rm = TRUE), "%\n")## For 95% variance: 0.5193514 %cat("For 99% variance:", mean(summary_table$Percent_PCs_99, na.rm = TRUE), "%\n")## For 99% variance: 0.5520778 %cat("For 100% variance:", mean(summary_table$Percent_PCs_100, na.rm = TRUE), "%\n")## For 100% variance: 0.5628389 %# Calculate consistency across sessions
cat("\nConsistent PC counts across sessions:\n")##
## Consistent PC counts across sessions:cat("For 90% variance:", max(summary_table$PCs_90_percent, na.rm = TRUE), "\n")## For 90% variance: 99cat("For 95% variance:", max(summary_table$PCs_95_percent, na.rm = TRUE), "\n")## For 95% variance: 106cat("For 99% variance:", max(summary_table$PCs_99_percent, na.rm = TRUE), "\n")## For 99% variance: 112cat("For 100% variance:", max(summary_table$PCs_100_percent, na.rm = TRUE), "\n")## For 100% variance: 114# Calculate average variance explained by each PC
cat("\nAverage variance explained by each PC:\n")##
## Average variance explained by each PC:for (i in 1:10) {
pc_col_name <- paste0("PC", i, "_var")
avg_var <- mean(summary_table[[pc_col_name]], na.rm = TRUE)
cat(paste0("PC", i, ": ", round(avg_var, 2), "%\n"))
}## PC1: 1.68%
## PC2: 1.43%
## PC3: 1.35%
## PC4: 1.3%
## PC5: 1.26%
## PC6: 1.22%
## PC7: 1.2%
## PC8: 1.18%
## PC9: 1.16%
## PC10: 1.15%# Create a more readable table with just PC variance information
pc_variance_table <- summary_table[, c("Session", paste0("PC", 1:10, "_var"))]
# Print this table
cat("\nVariance explained by PC1-PC10 for each session:\n")##
## Variance explained by PC1-PC10 for each session:print(pc_variance_table)## Session PC1_var PC2_var PC3_var PC4_var PC5_var PC6_var PC7_var
## 1 1 1.779953 1.489777 1.360129 1.297396 1.219465 1.197312 1.188699
## 2 2 1.412653 1.319206 1.238637 1.219698 1.170271 1.143013 1.132157
## 3 3 1.523506 1.248789 1.191229 1.151488 1.140475 1.128939 1.121573
## 4 4 2.045992 1.638375 1.594623 1.456757 1.400045 1.391371 1.279732
## 5 5 1.578848 1.396761 1.334217 1.306999 1.284255 1.252626 1.226068
## 6 6 1.828749 1.538308 1.503184 1.359873 1.263691 1.222975 1.215187
## 7 7 1.606135 1.525454 1.476530 1.391132 1.375986 1.314003 1.286667
## 8 8 1.817687 1.323690 1.291326 1.256629 1.232262 1.221440 1.209255
## 9 9 1.508592 1.284582 1.267540 1.236511 1.198079 1.149763 1.123830
## 10 10 1.626179 1.402234 1.385251 1.367709 1.345614 1.254867 1.225793
## 11 11 2.524052 1.601526 1.527329 1.474568 1.444036 1.416267 1.402591
## 12 12 1.359262 1.334796 1.261916 1.204777 1.168579 1.152164 1.141098
## 13 13 1.540985 1.376574 1.278584 1.244693 1.183343 1.173702 1.115050
## 14 14 1.478728 1.324445 1.275598 1.248091 1.235812 1.199578 1.180375
## 15 15 1.569944 1.251698 1.193416 1.184412 1.114193 1.097269 1.073349
## 16 16 1.671487 1.611873 1.440631 1.326668 1.278838 1.235271 1.218880
## 17 17 1.563724 1.433467 1.309549 1.224394 1.192557 1.159807 1.147254
## 18 18 1.841076 1.574841 1.457821 1.402225 1.364637 1.331605 1.236571
## PC8_var PC9_var PC10_var
## 1 1.170753 1.157516 1.150384
## 2 1.125638 1.111366 1.101956
## 3 1.107861 1.092161 1.078884
## 4 1.217994 1.192211 1.164356
## 5 1.217555 1.209375 1.197608
## 6 1.202718 1.183915 1.168238
## 7 1.270604 1.252592 1.218452
## 8 1.199867 1.186113 1.179630
## 9 1.117309 1.095387 1.078011
## 10 1.207110 1.180358 1.154347
## 11 1.379047 1.367194 1.356399
## 12 1.128389 1.124143 1.101141
## 13 1.095916 1.082879 1.074838
## 14 1.145887 1.129307 1.124602
## 15 1.067567 1.061790 1.055905
## 16 1.197510 1.174195 1.167343
## 17 1.143114 1.130719 1.123963
## 18 1.201135 1.145590 1.119348I will now progress with my prediction model by using 114 PCs. I am now adding the PCs into the overall dataframe I am using for prediction.
# After running your PCA analysis and generating the 'results' list
# This code will append PC values to results_df_allsessions
# First, let's see how many PCs we need to extract from each session
max_pcs <- 114 # Number of PC columns to create
# Create a function to extract PC scores from a session's PCA result
extract_pc_scores <- function(session_id, pca_result, max_pcs) {
# Check if the PCA was successful
if (!pca_result$success) {
return(NULL)
}
# Get the original spike matrix and apply PCA transformation
session_data <- if (exists(paste0("session", session_id))) {
get(paste0("session", session_id))
} else {
session[[session_id]]
}
# Get the sampled indices used for PCA
set.seed(42 + session_id) # Same seed used in the analysis
n_trials <- length(session_data$spks)
sampled_indices <- sample(1:n_trials, min(114, n_trials))
# Recreate the spike matrix
element_lengths <- sapply(session_data$spks, length)
sampled_element_lengths <- element_lengths[sampled_indices]
max_length <- max(sampled_element_lengths)
spike_matrix <- matrix(0, nrow = length(sampled_indices), ncol = max_length)
for (i in 1:length(sampled_indices)) {
original_idx <- sampled_indices[i]
if (length(session_data$spks[[original_idx]]) > 0) {
spk_data <- session_data$spks[[original_idx]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Filter columns with zero variance
col_vars <- apply(spike_matrix, 2, var)
spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
# Apply PCA transformation
pca_obj <- prcomp(spike_matrix_filtered, scale = TRUE)
pc_scores <- pca_obj$x
# Create a data frame with PC scores
pc_df <- as.data.frame(pc_scores)
# If we have fewer PCs than max_pcs, fill the rest with NA
if (ncol(pc_df) < max_pcs) {
for (i in (ncol(pc_df) + 1):max_pcs) {
pc_df[[paste0("PC", i)]] <- NA
}
}
# Limit to max_pcs columns
pc_df <- pc_df[, 1:max_pcs]
# Add session identifier
pc_df$session_id <- session_id
# Add trial identifier - these match the original trial indices
pc_df$trial_idx <- sampled_indices
return(pc_df)
}
# Extract PC scores for each session
pc_scores_list <- list()
for (i in 1:18) {
if (names(results)[i] == as.character(i) && results[[i]]$success) {
pc_scores <- extract_pc_scores(i, results[[i]], max_pcs)
if (!is.null(pc_scores)) {
pc_scores_list[[as.character(i)]] <- pc_scores
}
}
}
# Combine all PC scores
all_pc_scores <- do.call(rbind, pc_scores_list)
# Check if results_df_allsessions exists and create it if not
if (!exists("results_df_allsessions")) {
results_df_allsessions <- data.frame()
}
# Prepare results_df_allsessions by adding any necessary identifiers if it's empty
if (nrow(results_df_allsessions) == 0) {
# Create a basic structure
results_df_allsessions <- data.frame(
session = integer(),
trial = integer()
)
}
# Now merge the PC scores with results_df_allsessions
# First make sure column names in all_pc_scores are distinct
colnames(all_pc_scores)[1:max_pcs] <- paste0("PC", 1:max_pcs, "_score")
# Rename session_id and trial_idx for merging
colnames(all_pc_scores)[colnames(all_pc_scores) == "session_id"] <- "session"
colnames(all_pc_scores)[colnames(all_pc_scores) == "trial_idx"] <- "trial"
# Join PC scores with results_df_allsessions
# If results_df_allsessions already has data:
if (nrow(results_df_allsessions) > 0) {
# Check if columns already exist and remove them if necessary
existing_pc_cols <- grep("PC[0-9]+_score", colnames(results_df_allsessions))
if (length(existing_pc_cols) > 0) {
results_df_allsessions <- results_df_allsessions[, -existing_pc_cols]
}
# Merge based on session and trial
results_df_allsessions <- merge(results_df_allsessions, all_pc_scores,
by = c("session", "trial"),
all.x = TRUE)
} else {
# If results_df_allsessions is empty, just use the PC scores
results_df_allsessions <- all_pc_scores
}
# Check the updated dataset
cat("Dataset dimensions:", dim(results_df_allsessions), "\n")## Dataset dimensions: 49173 125cat("First few column names:", head(colnames(results_df_allsessions)), "...\n")## First few column names: session trial brain_area avg_spike_count mousename feedback ...This is a new dataset that includes PC data.
results_df_allsessions## session trial brain_area avg_spike_count mousename feedback rightcontrast
## 1 1 1 ACA 1.2660550 Cori 1 0.50
## 2 1 1 VISp 1.6853933 Cori 1 0.50
## 3 1 1 root 0.5000000 Cori 1 0.50
## 4 1 1 LS 1.9352518 Cori 1 0.50
## 5 1 1 MOs 0.9380531 Cori 1 0.50
## 6 1 1 CA3 1.5294118 Cori 1 0.50
## 7 1 1 DG 2.3235294 Cori 1 0.50
## 8 1 1 SUB 2.0800000 Cori 1 0.50
## 9 1 2 LS 1.3669065 Cori 1 0.00
## 10 1 2 DG 1.5588235 Cori 1 0.00
## 11 1 2 VISp 1.6516854 Cori 1 0.00
## 12 1 2 SUB 1.9466667 Cori 1 0.00
## 13 1 2 ACA 0.5871560 Cori 1 0.00
## 14 1 2 root 0.6666667 Cori 1 0.00
## 15 1 2 MOs 0.7787611 Cori 1 0.00
## 16 1 2 CA3 1.7058824 Cori 1 0.00
## 17 1 3 CA3 1.9852941 Cori -1 1.00
## 18 1 3 MOs 0.9203540 Cori -1 1.00
## 19 1 3 DG 3.4117647 Cori -1 1.00
## 20 1 3 ACA 1.1926606 Cori -1 1.00
## 21 1 3 SUB 2.6400000 Cori -1 1.00
## 22 1 3 root 1.4444444 Cori -1 1.00
## 23 1 3 VISp 2.2752809 Cori -1 1.00
## 24 1 3 LS 1.7266187 Cori -1 1.00
## 25 1 4 ACA 0.5137615 Cori -1 0.00
## 26 1 4 LS 1.0575540 Cori -1 0.00
## 27 1 4 SUB 2.8000000 Cori -1 0.00
## 28 1 4 root 1.0555556 Cori -1 0.00
## 29 1 4 MOs 0.7079646 Cori -1 0.00
## 30 1 4 VISp 1.5617978 Cori -1 0.00
## 31 1 4 DG 2.2058824 Cori -1 0.00
## 32 1 4 CA3 2.1911765 Cori -1 0.00
## 33 1 5 DG 2.0588235 Cori -1 0.00
## 34 1 5 CA3 1.8088235 Cori -1 0.00
## 35 1 5 SUB 2.6133333 Cori -1 0.00
## 36 1 5 root 0.7777778 Cori -1 0.00
## 37 1 5 ACA 0.7706422 Cori -1 0.00
## 38 1 5 VISp 1.6235955 Cori -1 0.00
## 39 1 5 LS 1.3021583 Cori -1 0.00
## 40 1 5 MOs 0.7876106 Cori -1 0.00
## 41 1 6 DG 1.0588235 Cori 1 0.00
## 42 1 6 VISp 1.2808989 Cori 1 0.00
## 43 1 6 ACA 0.4587156 Cori 1 0.00
## 44 1 6 MOs 0.7345133 Cori 1 0.00
## 45 1 6 LS 0.9064748 Cori 1 0.00
## 46 1 6 root 0.6111111 Cori 1 0.00
## 47 1 6 SUB 1.9066667 Cori 1 0.00
## 48 1 6 CA3 1.8529412 Cori 1 0.00
## 49 1 7 LS 1.8633094 Cori 1 0.50
## 50 1 7 ACA 1.2201835 Cori 1 0.50
## 51 1 7 root 2.2222222 Cori 1 0.50
## 52 1 7 MOs 0.9292035 Cori 1 0.50
## 53 1 7 DG 2.8823529 Cori 1 0.50
## 54 1 7 CA3 2.5294118 Cori 1 0.50
## 55 1 7 SUB 3.3200000 Cori 1 0.50
## 56 1 7 VISp 2.7359551 Cori 1 0.50
## 57 1 8 DG 2.0000000 Cori 1 0.00
## 58 1 8 SUB 2.8933333 Cori 1 0.00
## 59 1 8 CA3 1.9705882 Cori 1 0.00
## 60 1 8 VISp 2.2640449 Cori 1 0.00
## 61 1 8 LS 1.4748201 Cori 1 0.00
## 62 1 8 root 1.1666667 Cori 1 0.00
## 63 1 8 ACA 1.0550459 Cori 1 0.00
## 64 1 8 MOs 0.7787611 Cori 1 0.00
## 65 1 9 LS 1.3165468 Cori 1 0.00
## 66 1 9 CA3 2.2058824 Cori 1 0.00
## 67 1 9 root 0.9444444 Cori 1 0.00
## 68 1 9 ACA 0.7339450 Cori 1 0.00
## 69 1 9 MOs 0.6548673 Cori 1 0.00
## 70 1 9 SUB 2.9733333 Cori 1 0.00
## 71 1 9 VISp 1.7640449 Cori 1 0.00
## 72 1 9 DG 1.9705882 Cori 1 0.00
## 73 1 10 VISp 1.9325843 Cori 1 0.25
## 74 1 10 root 1.3888889 Cori 1 0.25
## 75 1 10 LS 1.8633094 Cori 1 0.25
## 76 1 10 SUB 2.0800000 Cori 1 0.25
## 77 1 10 MOs 1.0265487 Cori 1 0.25
## 78 1 10 CA3 2.1617647 Cori 1 0.25
## 79 1 10 DG 2.4117647 Cori 1 0.25
## 80 1 10 ACA 1.3027523 Cori 1 0.25
## 81 1 11 ACA 1.1467890 Cori 1 0.00
## 82 1 11 LS 1.5323741 Cori 1 0.00
## 83 1 11 MOs 0.9646018 Cori 1 0.00
## 84 1 11 root 1.0555556 Cori 1 0.00
## 85 1 11 CA3 1.6764706 Cori 1 0.00
## 86 1 11 DG 2.2352941 Cori 1 0.00
## 87 1 11 SUB 2.1333333 Cori 1 0.00
## 88 1 11 VISp 1.6179775 Cori 1 0.00
## 89 1 12 MOs 1.1327434 Cori 1 1.00
## 90 1 12 VISp 1.9382022 Cori 1 1.00
## 91 1 12 LS 2.2302158 Cori 1 1.00
## 92 1 12 SUB 2.2400000 Cori 1 1.00
## 93 1 12 CA3 2.3382353 Cori 1 1.00
## 94 1 12 root 1.0555556 Cori 1 1.00
## 95 1 12 ACA 1.5229358 Cori 1 1.00
## 96 1 12 DG 3.0294118 Cori 1 1.00
## 97 1 13 DG 3.1470588 Cori -1 1.00
## 98 1 13 LS 1.7913669 Cori -1 1.00
## 99 1 13 SUB 2.3600000 Cori -1 1.00
## 100 1 13 MOs 0.8672566 Cori -1 1.00
## 101 1 13 CA3 2.2352941 Cori -1 1.00
## 102 1 13 VISp 2.0112360 Cori -1 1.00
## 103 1 13 root 1.6111111 Cori -1 1.00
## 104 1 13 ACA 1.1467890 Cori -1 1.00
## 105 1 14 LS 1.4460432 Cori -1 0.00
## 106 1 14 DG 1.8823529 Cori -1 0.00
## 107 1 14 SUB 2.4666667 Cori -1 0.00
## 108 1 14 ACA 0.9082569 Cori -1 0.00
## 109 1 14 VISp 1.6460674 Cori -1 0.00
## 110 1 14 CA3 1.7352941 Cori -1 0.00
## 111 1 14 MOs 0.8230088 Cori -1 0.00
## 112 1 14 root 1.0000000 Cori -1 0.00
## 113 1 15 DG 2.4411765 Cori -1 0.00
## 114 1 15 VISp 2.0000000 Cori -1 0.00
## 115 1 15 SUB 3.3200000 Cori -1 0.00
## 116 1 15 ACA 0.6880734 Cori -1 0.00
## 117 1 15 CA3 2.1911765 Cori -1 0.00
## 118 1 15 MOs 1.0353982 Cori -1 0.00
## 119 1 15 root 0.7222222 Cori -1 0.00
## 120 1 15 LS 1.6043165 Cori -1 0.00
## 121 1 16 ACA 0.8532110 Cori -1 0.00
## 122 1 16 DG 2.4411765 Cori -1 0.00
## 123 1 16 root 0.3888889 Cori -1 0.00
## 124 1 16 VISp 1.6460674 Cori -1 0.00
## 125 1 16 LS 1.3884892 Cori -1 0.00
## 126 1 16 SUB 2.2400000 Cori -1 0.00
## 127 1 16 CA3 1.4264706 Cori -1 0.00
## 128 1 16 MOs 0.7522124 Cori -1 0.00
## 129 1 17 VISp 1.7247191 Cori 1 0.00
## 130 1 17 root 0.7777778 Cori 1 0.00
## 131 1 17 LS 1.0000000 Cori 1 0.00
## 132 1 17 DG 1.8529412 Cori 1 0.00
## 133 1 17 MOs 0.6637168 Cori 1 0.00
## 134 1 17 CA3 2.3823529 Cori 1 0.00
## 135 1 17 SUB 2.5866667 Cori 1 0.00
## 136 1 17 ACA 0.4311927 Cori 1 0.00
## 137 1 18 DG 3.1470588 Cori 1 0.50
## 138 1 18 ACA 1.7064220 Cori 1 0.50
## 139 1 18 CA3 2.2647059 Cori 1 0.50
## 140 1 18 VISp 2.2584270 Cori 1 0.50
## 141 1 18 root 1.7222222 Cori 1 0.50
## 142 1 18 LS 2.2302158 Cori 1 0.50
## 143 1 18 MOs 1.0530973 Cori 1 0.50
## 144 1 18 SUB 2.6533333 Cori 1 0.50
## 145 1 19 CA3 2.4705882 Cori 1 0.25
## 146 1 19 LS 1.6187050 Cori 1 0.25
## 147 1 19 root 1.6666667 Cori 1 0.25
## 148 1 19 ACA 1.2293578 Cori 1 0.25
## 149 1 19 MOs 0.9203540 Cori 1 0.25
## 150 1 19 DG 3.2941176 Cori 1 0.25
## 151 1 19 SUB 2.8933333 Cori 1 0.25
## 152 1 19 VISp 2.3595506 Cori 1 0.25
## 153 1 20 MOs 1.1327434 Cori 1 1.00
## 154 1 20 DG 2.7941176 Cori 1 1.00
## 155 1 20 LS 2.1654676 Cori 1 1.00
## 156 1 20 root 1.3333333 Cori 1 1.00
## 157 1 20 VISp 2.4831461 Cori 1 1.00
## 158 1 20 CA3 2.4117647 Cori 1 1.00
## 159 1 20 SUB 3.0533333 Cori 1 1.00
## 160 1 20 ACA 1.4862385 Cori 1 1.00
## 161 1 21 MOs 0.6017699 Cori 1 0.00
## 162 1 21 SUB 2.4400000 Cori 1 0.00
## 163 1 21 VISp 1.5674157 Cori 1 0.00
## 164 1 21 ACA 0.5504587 Cori 1 0.00
## 165 1 21 CA3 2.1176471 Cori 1 0.00
## 166 1 21 root 0.4444444 Cori 1 0.00
## 167 1 21 DG 0.8823529 Cori 1 0.00
## 168 1 21 LS 1.3381295 Cori 1 0.00
## 169 1 22 CA3 1.5000000 Cori -1 0.50
## 170 1 22 SUB 1.6133333 Cori -1 0.50
## 171 1 22 DG 1.9705882 Cori -1 0.50
## 172 1 22 LS 1.4388489 Cori -1 0.50
## 173 1 22 VISp 1.3314607 Cori -1 0.50
## 174 1 22 MOs 0.8230088 Cori -1 0.50
## 175 1 22 root 0.4444444 Cori -1 0.50
## 176 1 22 ACA 0.8623853 Cori -1 0.50
## 177 1 23 CA3 1.7647059 Cori -1 0.00
## 178 1 23 LS 1.4532374 Cori -1 0.00
## 179 1 23 SUB 2.1733333 Cori -1 0.00
## 180 1 23 root 0.6111111 Cori -1 0.00
## 181 1 23 ACA 0.8348624 Cori -1 0.00
## 182 1 23 MOs 0.7610619 Cori -1 0.00
## 183 1 23 VISp 1.4719101 Cori -1 0.00
## 184 1 23 DG 1.5882353 Cori -1 0.00
## 185 1 24 CA3 2.3823529 Cori 1 0.00
## 186 1 24 ACA 0.7247706 Cori 1 0.00
## 187 1 24 MOs 0.7787611 Cori 1 0.00
## 188 1 24 SUB 3.2666667 Cori 1 0.00
## 189 1 24 DG 2.2647059 Cori 1 0.00
## 190 1 24 LS 0.9568345 Cori 1 0.00
## 191 1 24 root 1.0555556 Cori 1 0.00
## 192 1 24 VISp 2.0730337 Cori 1 0.00
## 193 1 25 MOs 1.0530973 Cori 1 0.25
## 194 1 25 root 0.8888889 Cori 1 0.25
## 195 1 25 DG 2.6470588 Cori 1 0.25
## 196 1 25 SUB 2.4266667 Cori 1 0.25
## 197 1 25 CA3 1.7647059 Cori 1 0.25
## 198 1 25 ACA 1.2201835 Cori 1 0.25
## 199 1 25 LS 1.7697842 Cori 1 0.25
## 200 1 25 VISp 1.8258427 Cori 1 0.25
## 201 1 26 VISp 2.2528090 Cori 1 0.25
## 202 1 26 SUB 2.7200000 Cori 1 0.25
## 203 1 26 root 1.1111111 Cori 1 0.25
## 204 1 26 DG 2.9705882 Cori 1 0.25
## 205 1 26 ACA 1.4311927 Cori 1 0.25
## 206 1 26 MOs 1.1061947 Cori 1 0.25
## 207 1 26 CA3 2.3676471 Cori 1 0.25
## 208 1 26 LS 1.9496403 Cori 1 0.25
## 209 1 27 root 0.9444444 Cori 1 0.50
## 210 1 27 LS 1.9784173 Cori 1 0.50
## 211 1 27 CA3 2.1764706 Cori 1 0.50
## 212 1 27 MOs 0.9115044 Cori 1 0.50
## 213 1 27 VISp 2.4438202 Cori 1 0.50
## 214 1 27 ACA 1.3577982 Cori 1 0.50
## 215 1 27 DG 3.4411765 Cori 1 0.50
## 216 1 27 SUB 2.4400000 Cori 1 0.50
## 217 1 28 ACA 1.4220183 Cori -1 0.00
## 218 1 28 SUB 3.3333333 Cori -1 0.00
## 219 1 28 LS 1.9136691 Cori -1 0.00
## 220 1 28 CA3 3.3676471 Cori -1 0.00
## 221 1 28 DG 4.2941176 Cori -1 0.00
## 222 1 28 VISp 2.9382022 Cori -1 0.00
## 223 1 28 MOs 1.1415929 Cori -1 0.00
## 224 1 28 root 1.0555556 Cori -1 0.00
## 225 1 29 SUB 2.0400000 Cori 1 0.00
## 226 1 29 VISp 1.2528090 Cori 1 0.00
## 227 1 29 MOs 0.7345133 Cori 1 0.00
## 228 1 29 CA3 1.8970588 Cori 1 0.00
## 229 1 29 LS 0.9424460 Cori 1 0.00
## 230 1 29 root 0.3333333 Cori 1 0.00
## 231 1 29 DG 0.8529412 Cori 1 0.00
## 232 1 29 ACA 0.4678899 Cori 1 0.00
## 233 1 30 MOs 0.9026549 Cori 1 0.50
## 234 1 30 LS 1.8417266 Cori 1 0.50
## 235 1 30 root 1.5555556 Cori 1 0.50
## 236 1 30 DG 3.6764706 Cori 1 0.50
## 237 1 30 SUB 2.6933333 Cori 1 0.50
## 238 1 30 VISp 2.2134831 Cori 1 0.50
## 239 1 30 ACA 1.4128440 Cori 1 0.50
## 240 1 30 CA3 1.9558824 Cori 1 0.50
## 241 1 31 LS 1.5395683 Cori 1 0.00
## 242 1 31 CA3 2.1911765 Cori 1 0.00
## 243 1 31 ACA 1.1651376 Cori 1 0.00
## 244 1 31 MOs 1.0353982 Cori 1 0.00
## 245 1 31 root 1.3333333 Cori 1 0.00
## 246 1 31 SUB 2.3733333 Cori 1 0.00
## 247 1 31 DG 2.5000000 Cori 1 0.00
## 248 1 31 VISp 2.0112360 Cori 1 0.00
## 249 1 32 root 0.4444444 Cori -1 0.00
## 250 1 32 ACA 0.6055046 Cori -1 0.00
## 251 1 32 MOs 0.7610619 Cori -1 0.00
## 252 1 32 VISp 1.6797753 Cori -1 0.00
## 253 1 32 LS 1.1294964 Cori -1 0.00
## 254 1 32 DG 1.2647059 Cori -1 0.00
## 255 1 32 SUB 2.4666667 Cori -1 0.00
## 256 1 32 CA3 2.0147059 Cori -1 0.00
## 257 1 33 DG 1.2941176 Cori 1 0.00
## 258 1 33 MOs 0.7168142 Cori 1 0.00
## 259 1 33 root 0.5555556 Cori 1 0.00
## 260 1 33 VISp 1.3314607 Cori 1 0.00
## 261 1 33 CA3 2.1617647 Cori 1 0.00
## 262 1 33 ACA 0.6880734 Cori 1 0.00
## 263 1 33 LS 1.1942446 Cori 1 0.00
## 264 1 33 SUB 2.2266667 Cori 1 0.00
## 265 1 34 MOs 1.0176991 Cori 1 0.50
## 266 1 34 VISp 2.1123596 Cori 1 0.50
## 267 1 34 LS 1.7985612 Cori 1 0.50
## 268 1 34 CA3 2.2205882 Cori 1 0.50
## 269 1 34 root 0.6111111 Cori 1 0.50
## 270 1 34 DG 2.1176471 Cori 1 0.50
## 271 1 34 SUB 2.2266667 Cori 1 0.50
## 272 1 34 ACA 1.2110092 Cori 1 0.50
## 273 1 35 root 1.3333333 Cori 1 0.25
## 274 1 35 MOs 1.0619469 Cori 1 0.25
## 275 1 35 VISp 2.1348315 Cori 1 0.25
## 276 1 35 DG 2.7941176 Cori 1 0.25
## 277 1 35 SUB 2.7733333 Cori 1 0.25
## 278 1 35 CA3 2.3676471 Cori 1 0.25
## 279 1 35 ACA 1.2752294 Cori 1 0.25
## 280 1 35 LS 1.7553957 Cori 1 0.25
## 281 1 36 ACA 1.3761468 Cori 1 1.00
## 282 1 36 VISp 2.0280899 Cori 1 1.00
## 283 1 36 CA3 2.4705882 Cori 1 1.00
## 284 1 36 LS 1.7769784 Cori 1 1.00
## 285 1 36 SUB 2.5200000 Cori 1 1.00
## 286 1 36 MOs 1.0619469 Cori 1 1.00
## 287 1 36 DG 2.8529412 Cori 1 1.00
## 288 1 36 root 1.6111111 Cori 1 1.00
## 289 1 37 DG 2.2058824 Cori 1 0.50
## 290 1 37 CA3 1.7647059 Cori 1 0.50
## 291 1 37 root 0.8888889 Cori 1 0.50
## 292 1 37 VISp 1.6235955 Cori 1 0.50
## 293 1 37 SUB 2.4000000 Cori 1 0.50
## 294 1 37 ACA 1.1651376 Cori 1 0.50
## 295 1 37 LS 1.5899281 Cori 1 0.50
## 296 1 37 MOs 0.9557522 Cori 1 0.50
## 297 1 38 DG 2.3235294 Cori 1 1.00
## 298 1 38 CA3 1.9558824 Cori 1 1.00
## 299 1 38 VISp 1.5337079 Cori 1 1.00
## 300 1 38 root 1.3333333 Cori 1 1.00
## 301 1 38 LS 1.5251799 Cori 1 1.00
## 302 1 38 SUB 2.3066667 Cori 1 1.00
## 303 1 38 ACA 1.0275229 Cori 1 1.00
## 304 1 38 MOs 0.9203540 Cori 1 1.00
## 305 1 39 VISp 1.3707865 Cori 1 0.00
## 306 1 39 ACA 0.4495413 Cori 1 0.00
## 307 1 39 DG 1.0000000 Cori 1 0.00
## 308 1 39 SUB 2.1466667 Cori 1 0.00
## 309 1 39 LS 0.8201439 Cori 1 0.00
## 310 1 39 root 0.5555556 Cori 1 0.00
## 311 1 39 CA3 2.1911765 Cori 1 0.00
## 312 1 39 MOs 0.5840708 Cori 1 0.00
## 313 1 40 VISp 2.0056180 Cori 1 0.00
## 314 1 40 LS 1.6834532 Cori 1 0.00
## 315 1 40 SUB 2.5066667 Cori 1 0.00
## 316 1 40 root 1.3888889 Cori 1 0.00
## 317 1 40 CA3 2.5294118 Cori 1 0.00
## 318 1 40 ACA 1.3211009 Cori 1 0.00
## 319 1 40 DG 2.9117647 Cori 1 0.00
## 320 1 40 MOs 1.0707965 Cori 1 0.00
## 321 1 41 DG 2.3235294 Cori 1 0.50
## 322 1 41 MOs 0.9911504 Cori 1 0.50
## 323 1 41 VISp 2.0280899 Cori 1 0.50
## 324 1 41 SUB 2.6800000 Cori 1 0.50
## 325 1 41 root 1.2222222 Cori 1 0.50
## 326 1 41 CA3 2.1323529 Cori 1 0.50
## 327 1 41 LS 1.7553957 Cori 1 0.50
## 328 1 41 ACA 1.1651376 Cori 1 0.50
## 329 1 42 CA3 1.7205882 Cori -1 0.50
## 330 1 42 SUB 2.3066667 Cori -1 0.50
## 331 1 42 root 0.6666667 Cori -1 0.50
## 332 1 42 ACA 0.7798165 Cori -1 0.50
## 333 1 42 DG 1.3823529 Cori -1 0.50
## 334 1 42 LS 1.4820144 Cori -1 0.50
## 335 1 42 MOs 0.8318584 Cori -1 0.50
## 336 1 42 VISp 1.3651685 Cori -1 0.50
## 337 1 43 LS 1.8776978 Cori 1 0.00
## 338 1 43 DG 3.3235294 Cori 1 0.00
## 339 1 43 ACA 1.1743119 Cori 1 0.00
## 340 1 43 root 1.1666667 Cori 1 0.00
## 341 1 43 SUB 2.1866667 Cori 1 0.00
## 342 1 43 MOs 1.2035398 Cori 1 0.00
## 343 1 43 VISp 2.0393258 Cori 1 0.00
## 344 1 43 CA3 2.0294118 Cori 1 0.00
## 345 1 44 root 1.5000000 Cori 1 0.25
## 346 1 44 DG 3.0000000 Cori 1 0.25
## 347 1 44 LS 1.6762590 Cori 1 0.25
## 348 1 44 SUB 3.0000000 Cori 1 0.25
## 349 1 44 VISp 2.2191011 Cori 1 0.25
## 350 1 44 MOs 0.9115044 Cori 1 0.25
## 351 1 44 ACA 1.0733945 Cori 1 0.25
## 352 1 44 CA3 2.3970588 Cori 1 0.25
## 353 1 45 SUB 2.1200000 Cori 1 1.00
## 354 1 45 root 0.9444444 Cori 1 1.00
## 355 1 45 DG 2.8235294 Cori 1 1.00
## 356 1 45 CA3 2.1617647 Cori 1 1.00
## 357 1 45 MOs 0.9115044 Cori 1 1.00
## 358 1 45 VISp 1.8820225 Cori 1 1.00
## 359 1 45 LS 1.7769784 Cori 1 1.00
## 360 1 45 ACA 1.1100917 Cori 1 1.00
## 361 1 46 ACA 1.3302752 Cori 1 0.00
## 362 1 46 LS 1.8345324 Cori 1 0.00
## 363 1 46 root 2.1111111 Cori 1 0.00
## 364 1 46 SUB 2.6933333 Cori 1 0.00
## 365 1 46 CA3 2.7647059 Cori 1 0.00
## 366 1 46 DG 4.0588235 Cori 1 0.00
## 367 1 46 VISp 2.2752809 Cori 1 0.00
## 368 1 46 MOs 1.1858407 Cori 1 0.00
## 369 1 47 VISp 1.8314607 Cori -1 1.00
## 370 1 47 MOs 1.1238938 Cori -1 1.00
## 371 1 47 DG 2.2941176 Cori -1 1.00
## 372 1 47 root 1.0555556 Cori -1 1.00
## 373 1 47 ACA 1.3211009 Cori -1 1.00
## 374 1 47 CA3 2.1911765 Cori -1 1.00
## 375 1 47 LS 1.6690647 Cori -1 1.00
## 376 1 47 SUB 2.4133333 Cori -1 1.00
## 377 1 48 ACA 0.4862385 Cori 1 0.00
## 378 1 48 CA3 2.1911765 Cori 1 0.00
## 379 1 48 MOs 0.6017699 Cori 1 0.00
## 380 1 48 root 0.3333333 Cori 1 0.00
## 381 1 48 DG 1.5294118 Cori 1 0.00
## 382 1 48 VISp 1.4325843 Cori 1 0.00
## 383 1 48 LS 0.7913669 Cori 1 0.00
## 384 1 48 SUB 2.3733333 Cori 1 0.00
## 385 1 49 SUB 2.1066667 Cori -1 1.00
## 386 1 49 root 0.5555556 Cori -1 1.00
## 387 1 49 MOs 0.7433628 Cori -1 1.00
## 388 1 49 ACA 0.8256881 Cori -1 1.00
## 389 1 49 DG 1.6176471 Cori -1 1.00
## 390 1 49 VISp 1.5056180 Cori -1 1.00
## 391 1 49 LS 1.2589928 Cori -1 1.00
## 392 1 49 CA3 1.8823529 Cori -1 1.00
## 393 1 50 DG 1.9411765 Cori 1 1.00
## 394 1 50 ACA 0.9816514 Cori 1 1.00
## 395 1 50 CA3 1.8970588 Cori 1 1.00
## 396 1 50 root 0.7222222 Cori 1 1.00
## 397 1 50 MOs 0.7168142 Cori 1 1.00
## 398 1 50 SUB 1.5200000 Cori 1 1.00
## 399 1 50 VISp 1.2640449 Cori 1 1.00
## 400 1 50 LS 1.6187050 Cori 1 1.00
## 401 1 51 LS 1.5611511 Cori 1 0.00
## 402 1 51 VISp 2.0056180 Cori 1 0.00
## 403 1 51 ACA 1.3853211 Cori 1 0.00
## 404 1 51 DG 3.8529412 Cori 1 0.00
## 405 1 51 CA3 2.4411765 Cori 1 0.00
## 406 1 51 root 1.3888889 Cori 1 0.00
## 407 1 51 MOs 1.1504425 Cori 1 0.00
## 408 1 51 SUB 2.7466667 Cori 1 0.00
## 409 1 52 CA3 2.6470588 Cori 1 0.00
## 410 1 52 DG 2.7647059 Cori 1 0.00
## 411 1 52 MOs 1.0000000 Cori 1 0.00
## 412 1 52 ACA 1.3577982 Cori 1 0.00
## 413 1 52 LS 1.6402878 Cori 1 0.00
## 414 1 52 root 1.3333333 Cori 1 0.00
## 415 1 52 SUB 2.8933333 Cori 1 0.00
## 416 1 52 VISp 2.0505618 Cori 1 0.00
## 417 1 53 MOs 0.7610619 Cori -1 0.50
## 418 1 53 VISp 1.7696629 Cori -1 0.50
## 419 1 53 DG 1.4117647 Cori -1 0.50
## 420 1 53 CA3 1.9117647 Cori -1 0.50
## 421 1 53 ACA 0.8807339 Cori -1 0.50
## 422 1 53 LS 1.3884892 Cori -1 0.50
## 423 1 53 SUB 2.2666667 Cori -1 0.50
## 424 1 53 root 0.4444444 Cori -1 0.50
## 425 1 54 LS 1.6546763 Cori -1 0.00
## 426 1 54 MOs 1.0707965 Cori -1 0.00
## 427 1 54 ACA 1.1559633 Cori -1 0.00
## 428 1 54 VISp 1.7415730 Cori -1 0.00
## 429 1 54 CA3 1.4852941 Cori -1 0.00
## 430 1 54 root 1.1111111 Cori -1 0.00
## 431 1 54 SUB 2.5733333 Cori -1 0.00
## 432 1 54 DG 2.9705882 Cori -1 0.00
## 433 1 55 SUB 2.0000000 Cori 1 0.50
## 434 1 55 root 1.0000000 Cori 1 0.50
## 435 1 55 LS 1.6762590 Cori 1 0.50
## 436 1 55 VISp 1.5842697 Cori 1 0.50
## 437 1 55 CA3 1.5000000 Cori 1 0.50
## 438 1 55 MOs 1.0088496 Cori 1 0.50
## 439 1 55 DG 2.1176471 Cori 1 0.50
## 440 1 55 ACA 1.0733945 Cori 1 0.50
## 441 1 56 DG 4.0000000 Cori 1 1.00
## 442 1 56 CA3 2.5000000 Cori 1 1.00
## 443 1 56 ACA 1.5963303 Cori 1 1.00
## 444 1 56 SUB 2.6266667 Cori 1 1.00
## 445 1 56 LS 2.0431655 Cori 1 1.00
## 446 1 56 MOs 1.0176991 Cori 1 1.00
## 447 1 56 VISp 2.2977528 Cori 1 1.00
## 448 1 56 root 1.3333333 Cori 1 1.00
## 449 1 57 root 0.4444444 Cori -1 1.00
## 450 1 57 LS 1.4676259 Cori -1 1.00
## 451 1 57 VISp 1.5224719 Cori -1 1.00
## 452 1 57 MOs 0.8230088 Cori -1 1.00
## 453 1 57 SUB 2.2533333 Cori -1 1.00
## 454 1 57 DG 1.8235294 Cori -1 1.00
## 455 1 57 ACA 0.8165138 Cori -1 1.00
## 456 1 57 CA3 1.8235294 Cori -1 1.00
## 457 1 58 ACA 0.6788991 Cori -1 1.00
## 458 1 58 DG 2.0588235 Cori -1 1.00
## 459 1 58 SUB 1.9733333 Cori -1 1.00
## 460 1 58 root 0.4444444 Cori -1 1.00
## 461 1 58 CA3 1.6911765 Cori -1 1.00
## 462 1 58 MOs 0.7522124 Cori -1 1.00
## 463 1 58 VISp 1.3820225 Cori -1 1.00
## 464 1 58 LS 1.1654676 Cori -1 1.00
## 465 1 59 ACA 0.8348624 Cori -1 1.00
## 466 1 59 DG 1.5294118 Cori -1 1.00
## 467 1 59 MOs 0.9292035 Cori -1 1.00
## 468 1 59 LS 1.3741007 Cori -1 1.00
## 469 1 59 CA3 1.4411765 Cori -1 1.00
## 470 1 59 root 0.3888889 Cori -1 1.00
## 471 1 59 SUB 2.0533333 Cori -1 1.00
## 472 1 59 VISp 1.2640449 Cori -1 1.00
## 473 1 60 LS 2.1942446 Cori 1 1.00
## 474 1 60 MOs 1.0442478 Cori 1 1.00
## 475 1 60 CA3 2.2205882 Cori 1 1.00
## 476 1 60 SUB 2.5466667 Cori 1 1.00
## 477 1 60 DG 3.5588235 Cori 1 1.00
## 478 1 60 VISp 2.1910112 Cori 1 1.00
## 479 1 60 root 1.7222222 Cori 1 1.00
## 480 1 60 ACA 1.5871560 Cori 1 1.00
## 481 1 61 CA3 2.1764706 Cori 1 1.00
## 482 1 61 SUB 3.4533333 Cori 1 1.00
## 483 1 61 VISp 2.1516854 Cori 1 1.00
## 484 1 61 ACA 1.5412844 Cori 1 1.00
## 485 1 61 DG 2.7352941 Cori 1 1.00
## 486 1 61 LS 1.9784173 Cori 1 1.00
## 487 1 61 root 1.2777778 Cori 1 1.00
## 488 1 61 MOs 1.0000000 Cori 1 1.00
## 489 1 62 LS 1.2517986 Cori 1 1.00
## 490 1 62 ACA 0.8165138 Cori 1 1.00
## 491 1 62 SUB 2.5866667 Cori 1 1.00
## 492 1 62 root 0.6666667 Cori 1 1.00
## 493 1 62 VISp 1.7584270 Cori 1 1.00
## 494 1 62 DG 2.4411765 Cori 1 1.00
## 495 1 62 CA3 2.0294118 Cori 1 1.00
## 496 1 62 MOs 0.9203540 Cori 1 1.00
## 497 1 63 ACA 1.0733945 Cori -1 0.25
## 498 1 63 root 0.7777778 Cori -1 0.25
## 499 1 63 DG 1.4705882 Cori -1 0.25
## 500 1 63 VISp 1.3539326 Cori -1 0.25
## 501 1 63 MOs 0.8407080 Cori -1 0.25
## 502 1 63 CA3 1.5588235 Cori -1 0.25
## 503 1 63 SUB 2.0800000 Cori -1 0.25
## 504 1 63 LS 1.3812950 Cori -1 0.25
## 505 1 64 root 0.5555556 Cori -1 1.00
## 506 1 64 LS 1.0431655 Cori -1 1.00
## 507 1 64 VISp 1.7921348 Cori -1 1.00
## 508 1 64 ACA 0.8899083 Cori -1 1.00
## 509 1 64 CA3 2.1617647 Cori -1 1.00
## 510 1 64 SUB 3.4000000 Cori -1 1.00
## 511 1 64 DG 1.8823529 Cori -1 1.00
## 512 1 64 MOs 0.8318584 Cori -1 1.00
## 513 1 65 CA3 2.6911765 Cori -1 1.00
## 514 1 65 SUB 2.3866667 Cori -1 1.00
## 515 1 65 root 0.4444444 Cori -1 1.00
## 516 1 65 ACA 0.6880734 Cori -1 1.00
## 517 1 65 VISp 1.6348315 Cori -1 1.00
## 518 1 65 MOs 0.8584071 Cori -1 1.00
## 519 1 65 DG 1.9411765 Cori -1 1.00
## 520 1 65 LS 1.1582734 Cori -1 1.00
## 521 1 66 MOs 0.9469027 Cori -1 1.00
## 522 1 66 VISp 1.4438202 Cori -1 1.00
## 523 1 66 ACA 0.8165138 Cori -1 1.00
## 524 1 66 DG 1.9705882 Cori -1 1.00
## 525 1 66 SUB 2.1600000 Cori -1 1.00
## 526 1 66 root 0.5555556 Cori -1 1.00
## 527 1 66 CA3 2.2941176 Cori -1 1.00
## 528 1 66 LS 1.3884892 Cori -1 1.00
## 529 1 67 root 0.9444444 Cori 1 1.00
## 530 1 67 SUB 2.9600000 Cori 1 1.00
## 531 1 67 MOs 1.0884956 Cori 1 1.00
## 532 1 67 VISp 1.8370787 Cori 1 1.00
## 533 1 67 LS 1.8417266 Cori 1 1.00
## 534 1 67 DG 2.9411765 Cori 1 1.00
## 535 1 67 CA3 2.1029412 Cori 1 1.00
## 536 1 67 ACA 1.3669725 Cori 1 1.00
## 537 1 68 CA3 1.6764706 Cori 1 0.00
## 538 1 68 LS 1.4316547 Cori 1 0.00
## 539 1 68 MOs 0.7433628 Cori 1 0.00
## 540 1 68 VISp 1.4044944 Cori 1 0.00
## 541 1 68 DG 1.8235294 Cori 1 0.00
## 542 1 68 root 0.4444444 Cori 1 0.00
## 543 1 68 ACA 0.7064220 Cori 1 0.00
## 544 1 68 SUB 2.3600000 Cori 1 0.00
## 545 1 69 LS 1.4892086 Cori 1 0.00
## 546 1 69 root 0.7222222 Cori 1 0.00
## 547 1 69 VISp 1.5674157 Cori 1 0.00
## 548 1 69 MOs 0.8407080 Cori 1 0.00
## 549 1 69 ACA 1.2477064 Cori 1 0.00
## 550 1 69 DG 2.0000000 Cori 1 0.00
## 551 1 69 CA3 1.7941176 Cori 1 0.00
## 552 1 69 SUB 1.8800000 Cori 1 0.00
## 553 1 70 CA3 2.7205882 Cori 1 0.00
## 554 1 70 VISp 1.8033708 Cori 1 0.00
## 555 1 70 LS 0.9784173 Cori 1 0.00
## 556 1 70 ACA 0.4678899 Cori 1 0.00
## 557 1 70 DG 1.8235294 Cori 1 0.00
## 558 1 70 MOs 0.7256637 Cori 1 0.00
## 559 1 70 root 0.6111111 Cori 1 0.00
## 560 1 70 SUB 3.0933333 Cori 1 0.00
## 561 1 71 SUB 2.3200000 Cori 1 1.00
## 562 1 71 root 0.9444444 Cori 1 1.00
## 563 1 71 MOs 0.8141593 Cori 1 1.00
## 564 1 71 ACA 0.8440367 Cori 1 1.00
## 565 1 71 DG 1.6764706 Cori 1 1.00
## 566 1 71 VISp 1.6123596 Cori 1 1.00
## 567 1 71 LS 1.3093525 Cori 1 1.00
## 568 1 71 CA3 2.2941176 Cori 1 1.00
## 569 1 72 CA3 2.0294118 Cori 1 0.00
## 570 1 72 VISp 1.1404494 Cori 1 0.00
## 571 1 72 SUB 2.1733333 Cori 1 0.00
## 572 1 72 MOs 0.6017699 Cori 1 0.00
## 573 1 72 root 0.6111111 Cori 1 0.00
## 574 1 72 LS 1.0863309 Cori 1 0.00
## 575 1 72 DG 2.0294118 Cori 1 0.00
## 576 1 72 ACA 0.5963303 Cori 1 0.00
## 577 1 73 DG 1.8235294 Cori 1 0.25
## 578 1 73 LS 1.6618705 Cori 1 0.25
## 579 1 73 MOs 1.0088496 Cori 1 0.25
## 580 1 73 VISp 1.4494382 Cori 1 0.25
## 581 1 73 ACA 1.1192661 Cori 1 0.25
## 582 1 73 root 0.6111111 Cori 1 0.25
## 583 1 73 SUB 2.6400000 Cori 1 0.25
## 584 1 73 CA3 1.8529412 Cori 1 0.25
## 585 1 74 MOs 0.8938053 Cori 1 0.00
## 586 1 74 CA3 2.6617647 Cori 1 0.00
## 587 1 74 VISp 1.6011236 Cori 1 0.00
## 588 1 74 DG 1.6764706 Cori 1 0.00
## 589 1 74 root 0.8888889 Cori 1 0.00
## 590 1 74 ACA 0.6697248 Cori 1 0.00
## 591 1 74 SUB 3.5600000 Cori 1 0.00
## 592 1 74 LS 0.9352518 Cori 1 0.00
## 593 1 75 CA3 2.2205882 Cori 1 0.50
## 594 1 75 MOs 0.8141593 Cori 1 0.50
## 595 1 75 LS 1.2877698 Cori 1 0.50
## 596 1 75 SUB 2.2533333 Cori 1 0.50
## 597 1 75 VISp 1.5955056 Cori 1 0.50
## 598 1 75 DG 2.6470588 Cori 1 0.50
## 599 1 75 root 1.0555556 Cori 1 0.50
## 600 1 75 ACA 0.7614679 Cori 1 0.50
## 601 1 76 LS 1.5395683 Cori 1 1.00
## 602 1 76 root 0.6666667 Cori 1 1.00
## 603 1 76 DG 1.9411765 Cori 1 1.00
## 604 1 76 CA3 1.6764706 Cori 1 1.00
## 605 1 76 MOs 0.9734513 Cori 1 1.00
## 606 1 76 VISp 1.6179775 Cori 1 1.00
## 607 1 76 ACA 1.1376147 Cori 1 1.00
## 608 1 76 SUB 1.9733333 Cori 1 1.00
## 609 1 77 SUB 1.9333333 Cori -1 0.50
## 610 1 77 DG 2.2647059 Cori -1 0.50
## 611 1 77 VISp 1.2865169 Cori -1 0.50
## 612 1 77 root 0.5555556 Cori -1 0.50
## 613 1 77 CA3 2.2352941 Cori -1 0.50
## 614 1 77 ACA 0.7339450 Cori -1 0.50
## 615 1 77 MOs 0.6991150 Cori -1 0.50
## 616 1 77 LS 0.9712230 Cori -1 0.50
## 617 1 78 SUB 2.3200000 Cori 1 0.50
## 618 1 78 VISp 1.5337079 Cori 1 0.50
## 619 1 78 CA3 2.5441176 Cori 1 0.50
## 620 1 78 MOs 0.7433628 Cori 1 0.50
## 621 1 78 LS 1.2949640 Cori 1 0.50
## 622 1 78 ACA 0.5688073 Cori 1 0.50
## 623 1 78 root 0.6666667 Cori 1 0.50
## 624 1 78 DG 1.1470588 Cori 1 0.50
## 625 1 79 LS 1.8561151 Cori 1 0.25
## 626 1 79 DG 2.8235294 Cori 1 0.25
## 627 1 79 VISp 1.8651685 Cori 1 0.25
## 628 1 79 root 1.3333333 Cori 1 0.25
## 629 1 79 ACA 1.2844037 Cori 1 0.25
## 630 1 79 SUB 2.1466667 Cori 1 0.25
## 631 1 79 CA3 1.9117647 Cori 1 0.25
## 632 1 79 MOs 0.9911504 Cori 1 0.25
## 633 1 80 root 0.7777778 Cori -1 0.50
## 634 1 80 SUB 1.8400000 Cori -1 0.50
## 635 1 80 MOs 0.7079646 Cori -1 0.50
## 636 1 80 DG 1.1176471 Cori -1 0.50
## 637 1 80 CA3 1.8823529 Cori -1 0.50
## 638 1 80 LS 1.0071942 Cori -1 0.50
## 639 1 80 VISp 1.0898876 Cori -1 0.50
## 640 1 80 ACA 0.7981651 Cori -1 0.50
## 641 1 81 MOs 0.8407080 Cori 1 0.00
## 642 1 81 CA3 2.7500000 Cori 1 0.00
## 643 1 81 LS 0.8489209 Cori 1 0.00
## 644 1 81 SUB 3.3200000 Cori 1 0.00
## 645 1 81 DG 3.2058824 Cori 1 0.00
## 646 1 81 root 1.0000000 Cori 1 0.00
## 647 1 81 VISp 1.7865169 Cori 1 0.00
## 648 1 81 ACA 0.5504587 Cori 1 0.00
## 649 1 82 CA3 1.6029412 Cori 1 0.50
## 650 1 82 VISp 1.3820225 Cori 1 0.50
## 651 1 82 root 1.5000000 Cori 1 0.50
## 652 1 82 SUB 1.9600000 Cori 1 0.50
## 653 1 82 MOs 0.9380531 Cori 1 0.50
## 654 1 82 LS 1.4532374 Cori 1 0.50
## 655 1 82 ACA 0.8440367 Cori 1 0.50
## 656 1 82 DG 1.4411765 Cori 1 0.50
## 657 1 83 SUB 2.7200000 Cori 1 0.00
## 658 1 83 ACA 1.3577982 Cori 1 0.00
## 659 1 83 CA3 2.5882353 Cori 1 0.00
## 660 1 83 VISp 1.7865169 Cori 1 0.00
## 661 1 83 MOs 1.1327434 Cori 1 0.00
## 662 1 83 DG 2.6176471 Cori 1 0.00
## 663 1 83 root 1.5555556 Cori 1 0.00
## 664 1 83 LS 1.7482014 Cori 1 0.00
## 665 1 84 MOs 1.1238938 Cori 1 0.00
## 666 1 84 root 1.3333333 Cori 1 0.00
## 667 1 84 CA3 2.5588235 Cori 1 0.00
## 668 1 84 ACA 1.6330275 Cori 1 0.00
## 669 1 84 DG 2.7941176 Cori 1 0.00
## 670 1 84 VISp 2.0168539 Cori 1 0.00
## 671 1 84 LS 2.1007194 Cori 1 0.00
## 672 1 84 SUB 2.3733333 Cori 1 0.00
## 673 1 85 DG 1.8235294 Cori -1 0.50
## 674 1 85 SUB 2.0266667 Cori -1 0.50
## 675 1 85 root 0.5000000 Cori -1 0.50
## 676 1 85 MOs 0.7610619 Cori -1 0.50
## 677 1 85 CA3 1.6323529 Cori -1 0.50
## 678 1 85 ACA 0.8715596 Cori -1 0.50
## 679 1 85 VISp 1.2528090 Cori -1 0.50
## 680 1 85 LS 1.4892086 Cori -1 0.50
## 681 1 86 LS 1.8489209 Cori 1 0.00
## 682 1 86 MOs 1.0796460 Cori 1 0.00
## 683 1 86 root 1.4444444 Cori 1 0.00
## 684 1 86 VISp 1.9550562 Cori 1 0.00
## 685 1 86 DG 2.8235294 Cori 1 0.00
## 686 1 86 ACA 1.3761468 Cori 1 0.00
## 687 1 86 CA3 2.0147059 Cori 1 0.00
## 688 1 86 SUB 2.6933333 Cori 1 0.00
## 689 1 87 VISp 1.5449438 Cori -1 1.00
## 690 1 87 MOs 0.6017699 Cori -1 1.00
## 691 1 87 ACA 0.5229358 Cori -1 1.00
## 692 1 87 CA3 2.2794118 Cori -1 1.00
## 693 1 87 SUB 2.2533333 Cori -1 1.00
## 694 1 87 DG 1.8529412 Cori -1 1.00
## 695 1 87 LS 0.8057554 Cori -1 1.00
## 696 1 87 root 0.5000000 Cori -1 1.00
## 697 1 88 CA3 1.7352941 Cori 1 0.25
## 698 1 88 SUB 2.9200000 Cori 1 0.25
## 699 1 88 LS 1.7985612 Cori 1 0.25
## 700 1 88 ACA 1.3761468 Cori 1 0.25
## 701 1 88 root 1.2222222 Cori 1 0.25
## 702 1 88 VISp 1.6966292 Cori 1 0.25
## 703 1 88 DG 3.2647059 Cori 1 0.25
## 704 1 88 MOs 1.0884956 Cori 1 0.25
## 705 1 89 LS 1.3669065 Cori -1 1.00
## 706 1 89 CA3 2.0735294 Cori -1 1.00
## 707 1 89 VISp 1.3202247 Cori -1 1.00
## 708 1 89 root 0.7777778 Cori -1 1.00
## 709 1 89 SUB 1.9333333 Cori -1 1.00
## 710 1 89 MOs 0.7079646 Cori -1 1.00
## 711 1 89 ACA 1.0000000 Cori -1 1.00
## 712 1 89 DG 1.6764706 Cori -1 1.00
## 713 1 90 VISp 1.1797753 Cori -1 1.00
## 714 1 90 DG 1.5000000 Cori -1 1.00
## 715 1 90 SUB 1.8933333 Cori -1 1.00
## 716 1 90 CA3 1.8382353 Cori -1 1.00
## 717 1 90 LS 1.4028777 Cori -1 1.00
## 718 1 90 MOs 0.7699115 Cori -1 1.00
## 719 1 90 ACA 0.9449541 Cori -1 1.00
## 720 1 90 root 0.7777778 Cori -1 1.00
## 721 1 91 LS 1.4100719 Cori -1 1.00
## 722 1 91 ACA 0.6880734 Cori -1 1.00
## 723 1 91 CA3 1.7794118 Cori -1 1.00
## 724 1 91 MOs 0.7256637 Cori -1 1.00
## 725 1 91 VISp 1.3876404 Cori -1 1.00
## 726 1 91 SUB 2.4133333 Cori -1 1.00
## 727 1 91 DG 1.7058824 Cori -1 1.00
## 728 1 91 root 0.8888889 Cori -1 1.00
## 729 1 92 CA3 1.5441176 Cori -1 1.00
## 730 1 92 ACA 0.6972477 Cori -1 1.00
## 731 1 92 DG 2.0294118 Cori -1 1.00
## 732 1 92 root 1.5000000 Cori -1 1.00
## 733 1 92 VISp 1.5730337 Cori -1 1.00
## 734 1 92 SUB 3.0933333 Cori -1 1.00
## 735 1 92 MOs 0.8938053 Cori -1 1.00
## 736 1 92 LS 1.3956835 Cori -1 1.00
## 737 1 93 MOs 0.6548673 Cori 1 0.25
## 738 1 93 VISp 1.5505618 Cori 1 0.25
## 739 1 93 root 0.9444444 Cori 1 0.25
## 740 1 93 DG 1.7352941 Cori 1 0.25
## 741 1 93 CA3 1.8676471 Cori 1 0.25
## 742 1 93 SUB 1.8933333 Cori 1 0.25
## 743 1 93 LS 1.0791367 Cori 1 0.25
## 744 1 93 ACA 0.7522936 Cori 1 0.25
## 745 1 94 ACA 0.7706422 Cori -1 0.00
## 746 1 94 DG 1.4705882 Cori -1 0.00
## 747 1 94 LS 1.1798561 Cori -1 0.00
## 748 1 94 root 0.8333333 Cori -1 0.00
## 749 1 94 SUB 1.7333333 Cori -1 0.00
## 750 1 94 MOs 0.8053097 Cori -1 0.00
## 751 1 94 CA3 1.7647059 Cori -1 0.00
## 752 1 94 VISp 1.6123596 Cori -1 0.00
## 753 1 95 CA3 1.7941176 Cori 1 0.00
## 754 1 95 ACA 1.2568807 Cori 1 0.00
## 755 1 95 SUB 2.0800000 Cori 1 0.00
## 756 1 95 LS 1.6330935 Cori 1 0.00
## 757 1 95 DG 2.0882353 Cori 1 0.00
## 758 1 95 VISp 1.4775281 Cori 1 0.00
## 759 1 95 MOs 0.9823009 Cori 1 0.00
## 760 1 95 root 1.1111111 Cori 1 0.00
## 761 1 96 DG 1.7352941 Cori -1 0.00
## 762 1 96 root 0.9444444 Cori -1 0.00
## 763 1 96 SUB 2.0000000 Cori -1 0.00
## 764 1 96 VISp 1.4382022 Cori -1 0.00
## 765 1 96 ACA 0.5688073 Cori -1 0.00
## 766 1 96 CA3 2.0588235 Cori -1 0.00
## 767 1 96 LS 1.2086331 Cori -1 0.00
## 768 1 96 MOs 0.8053097 Cori -1 0.00
## 769 1 97 SUB 1.8133333 Cori 1 0.50
## 770 1 97 DG 1.4705882 Cori 1 0.50
## 771 1 97 CA3 1.6911765 Cori 1 0.50
## 772 1 97 VISp 1.1404494 Cori 1 0.50
## 773 1 97 LS 1.5323741 Cori 1 0.50
## 774 1 97 MOs 0.9380531 Cori 1 0.50
## 775 1 97 root 0.3888889 Cori 1 0.50
## 776 1 97 ACA 0.6513761 Cori 1 0.50
## 777 1 98 CA3 1.5588235 Cori 1 1.00
## 778 1 98 DG 1.9705882 Cori 1 1.00
## 779 1 98 MOs 0.9292035 Cori 1 1.00
## 780 1 98 root 0.7222222 Cori 1 1.00
## 781 1 98 ACA 1.2660550 Cori 1 1.00
## 782 1 98 LS 1.6762590 Cori 1 1.00
## 783 1 98 SUB 1.9733333 Cori 1 1.00
## 784 1 98 VISp 1.2696629 Cori 1 1.00
## 785 1 99 DG 3.6176471 Cori 1 0.00
## 786 1 99 SUB 2.9333333 Cori 1 0.00
## 787 1 99 VISp 1.9662921 Cori 1 0.00
## 788 1 99 MOs 1.2300885 Cori 1 0.00
## 789 1 99 ACA 1.5688073 Cori 1 0.00
## 790 1 99 root 1.8888889 Cori 1 0.00
## 791 1 99 LS 1.9712230 Cori 1 0.00
## 792 1 99 CA3 2.0882353 Cori 1 0.00
## 793 1 100 LS 1.1582734 Cori -1 0.00
## 794 1 100 CA3 1.8529412 Cori -1 0.00
## 795 1 100 root 0.8888889 Cori -1 0.00
## 796 1 100 SUB 2.2266667 Cori -1 0.00
## 797 1 100 MOs 0.7433628 Cori -1 0.00
## 798 1 100 DG 2.2352941 Cori -1 0.00
## 799 1 100 ACA 0.7431193 Cori -1 0.00
## leftcontrast contrastdiff avg_spike_count_session_mean
## 1 0.00 0.5 1.587192
## 2 0.00 0.5 1.587192
## 3 0.00 0.5 1.587192
## 4 0.00 0.5 1.587192
## 5 0.00 0.5 1.587192
## 6 0.00 0.5 1.587192
## 7 0.00 0.5 1.587192
## 8 0.00 0.5 1.587192
## 9 0.00 0 1.587192
## 10 0.00 0 1.587192
## 11 0.00 0 1.587192
## 12 0.00 0 1.587192
## 13 0.00 0 1.587192
## 14 0.00 0 1.587192
## 15 0.00 0 1.587192
## 16 0.00 0 1.587192
## 17 0.50 0.5 1.587192
## 18 0.50 0.5 1.587192
## 19 0.50 0.5 1.587192
## 20 0.50 0.5 1.587192
## 21 0.50 0.5 1.587192
## 22 0.50 0.5 1.587192
## 23 0.50 0.5 1.587192
## 24 0.50 0.5 1.587192
## 25 0.00 0 1.587192
## 26 0.00 0 1.587192
## 27 0.00 0 1.587192
## 28 0.00 0 1.587192
## 29 0.00 0 1.587192
## 30 0.00 0 1.587192
## 31 0.00 0 1.587192
## 32 0.00 0 1.587192
## 33 0.00 0 1.587192
## 34 0.00 0 1.587192
## 35 0.00 0 1.587192
## 36 0.00 0 1.587192
## 37 0.00 0 1.587192
## 38 0.00 0 1.587192
## 39 0.00 0 1.587192
## 40 0.00 0 1.587192
## 41 0.00 0 1.587192
## 42 0.00 0 1.587192
## 43 0.00 0 1.587192
## 44 0.00 0 1.587192
## 45 0.00 0 1.587192
## 46 0.00 0 1.587192
## 47 0.00 0 1.587192
## 48 0.00 0 1.587192
## 49 1.00 -0.5 1.587192
## 50 1.00 -0.5 1.587192
## 51 1.00 -0.5 1.587192
## 52 1.00 -0.5 1.587192
## 53 1.00 -0.5 1.587192
## 54 1.00 -0.5 1.587192
## 55 1.00 -0.5 1.587192
## 56 1.00 -0.5 1.587192
## 57 0.50 -0.5 1.587192
## 58 0.50 -0.5 1.587192
## 59 0.50 -0.5 1.587192
## 60 0.50 -0.5 1.587192
## 61 0.50 -0.5 1.587192
## 62 0.50 -0.5 1.587192
## 63 0.50 -0.5 1.587192
## 64 0.50 -0.5 1.587192
## 65 0.00 0 1.587192
## 66 0.00 0 1.587192
## 67 0.00 0 1.587192
## 68 0.00 0 1.587192
## 69 0.00 0 1.587192
## 70 0.00 0 1.587192
## 71 0.00 0 1.587192
## 72 0.00 0 1.587192
## 73 0.50 -0.25 1.587192
## 74 0.50 -0.25 1.587192
## 75 0.50 -0.25 1.587192
## 76 0.50 -0.25 1.587192
## 77 0.50 -0.25 1.587192
## 78 0.50 -0.25 1.587192
## 79 0.50 -0.25 1.587192
## 80 0.50 -0.25 1.587192
## 81 0.50 -0.5 1.587192
## 82 0.50 -0.5 1.587192
## 83 0.50 -0.5 1.587192
## 84 0.50 -0.5 1.587192
## 85 0.50 -0.5 1.587192
## 86 0.50 -0.5 1.587192
## 87 0.50 -0.5 1.587192
## 88 0.50 -0.5 1.587192
## 89 0.00 1 1.587192
## 90 0.00 1 1.587192
## 91 0.00 1 1.587192
## 92 0.00 1 1.587192
## 93 0.00 1 1.587192
## 94 0.00 1 1.587192
## 95 0.00 1 1.587192
## 96 0.00 1 1.587192
## 97 1.00 0 1.587192
## 98 1.00 0 1.587192
## 99 1.00 0 1.587192
## 100 1.00 0 1.587192
## 101 1.00 0 1.587192
## 102 1.00 0 1.587192
## 103 1.00 0 1.587192
## 104 1.00 0 1.587192
## 105 0.00 0 1.587192
## 106 0.00 0 1.587192
## 107 0.00 0 1.587192
## 108 0.00 0 1.587192
## 109 0.00 0 1.587192
## 110 0.00 0 1.587192
## 111 0.00 0 1.587192
## 112 0.00 0 1.587192
## 113 0.00 0 1.587192
## 114 0.00 0 1.587192
## 115 0.00 0 1.587192
## 116 0.00 0 1.587192
## 117 0.00 0 1.587192
## 118 0.00 0 1.587192
## 119 0.00 0 1.587192
## 120 0.00 0 1.587192
## 121 0.00 0 1.587192
## 122 0.00 0 1.587192
## 123 0.00 0 1.587192
## 124 0.00 0 1.587192
## 125 0.00 0 1.587192
## 126 0.00 0 1.587192
## 127 0.00 0 1.587192
## 128 0.00 0 1.587192
## 129 0.00 0 1.587192
## 130 0.00 0 1.587192
## 131 0.00 0 1.587192
## 132 0.00 0 1.587192
## 133 0.00 0 1.587192
## 134 0.00 0 1.587192
## 135 0.00 0 1.587192
## 136 0.00 0 1.587192
## 137 0.00 0.5 1.587192
## 138 0.00 0.5 1.587192
## 139 0.00 0.5 1.587192
## 140 0.00 0.5 1.587192
## 141 0.00 0.5 1.587192
## 142 0.00 0.5 1.587192
## 143 0.00 0.5 1.587192
## 144 0.00 0.5 1.587192
## 145 0.50 -0.25 1.587192
## 146 0.50 -0.25 1.587192
## 147 0.50 -0.25 1.587192
## 148 0.50 -0.25 1.587192
## 149 0.50 -0.25 1.587192
## 150 0.50 -0.25 1.587192
## 151 0.50 -0.25 1.587192
## 152 0.50 -0.25 1.587192
## 153 0.25 0.75 1.587192
## 154 0.25 0.75 1.587192
## 155 0.25 0.75 1.587192
## 156 0.25 0.75 1.587192
## 157 0.25 0.75 1.587192
## 158 0.25 0.75 1.587192
## 159 0.25 0.75 1.587192
## 160 0.25 0.75 1.587192
## 161 0.00 0 1.587192
## 162 0.00 0 1.587192
## 163 0.00 0 1.587192
## 164 0.00 0 1.587192
## 165 0.00 0 1.587192
## 166 0.00 0 1.587192
## 167 0.00 0 1.587192
## 168 0.00 0 1.587192
## 169 1.00 -0.5 1.587192
## 170 1.00 -0.5 1.587192
## 171 1.00 -0.5 1.587192
## 172 1.00 -0.5 1.587192
## 173 1.00 -0.5 1.587192
## 174 1.00 -0.5 1.587192
## 175 1.00 -0.5 1.587192
## 176 1.00 -0.5 1.587192
## 177 0.00 0 1.587192
## 178 0.00 0 1.587192
## 179 0.00 0 1.587192
## 180 0.00 0 1.587192
## 181 0.00 0 1.587192
## 182 0.00 0 1.587192
## 183 0.00 0 1.587192
## 184 0.00 0 1.587192
## 185 0.00 0 1.587192
## 186 0.00 0 1.587192
## 187 0.00 0 1.587192
## 188 0.00 0 1.587192
## 189 0.00 0 1.587192
## 190 0.00 0 1.587192
## 191 0.00 0 1.587192
## 192 0.00 0 1.587192
## 193 0.00 0.25 1.587192
## 194 0.00 0.25 1.587192
## 195 0.00 0.25 1.587192
## 196 0.00 0.25 1.587192
## 197 0.00 0.25 1.587192
## 198 0.00 0.25 1.587192
## 199 0.00 0.25 1.587192
## 200 0.00 0.25 1.587192
## 201 1.00 -0.75 1.587192
## 202 1.00 -0.75 1.587192
## 203 1.00 -0.75 1.587192
## 204 1.00 -0.75 1.587192
## 205 1.00 -0.75 1.587192
## 206 1.00 -0.75 1.587192
## 207 1.00 -0.75 1.587192
## 208 1.00 -0.75 1.587192
## 209 0.00 0.5 1.587192
## 210 0.00 0.5 1.587192
## 211 0.00 0.5 1.587192
## 212 0.00 0.5 1.587192
## 213 0.00 0.5 1.587192
## 214 0.00 0.5 1.587192
## 215 0.00 0.5 1.587192
## 216 0.00 0.5 1.587192
## 217 0.00 0 1.587192
## 218 0.00 0 1.587192
## 219 0.00 0 1.587192
## 220 0.00 0 1.587192
## 221 0.00 0 1.587192
## 222 0.00 0 1.587192
## 223 0.00 0 1.587192
## 224 0.00 0 1.587192
## 225 0.00 0 1.587192
## 226 0.00 0 1.587192
## 227 0.00 0 1.587192
## 228 0.00 0 1.587192
## 229 0.00 0 1.587192
## 230 0.00 0 1.587192
## 231 0.00 0 1.587192
## 232 0.00 0 1.587192
## 233 0.00 0.5 1.587192
## 234 0.00 0.5 1.587192
## 235 0.00 0.5 1.587192
## 236 0.00 0.5 1.587192
## 237 0.00 0.5 1.587192
## 238 0.00 0.5 1.587192
## 239 0.00 0.5 1.587192
## 240 0.00 0.5 1.587192
## 241 0.50 -0.5 1.587192
## 242 0.50 -0.5 1.587192
## 243 0.50 -0.5 1.587192
## 244 0.50 -0.5 1.587192
## 245 0.50 -0.5 1.587192
## 246 0.50 -0.5 1.587192
## 247 0.50 -0.5 1.587192
## 248 0.50 -0.5 1.587192
## 249 0.00 0 1.587192
## 250 0.00 0 1.587192
## 251 0.00 0 1.587192
## 252 0.00 0 1.587192
## 253 0.00 0 1.587192
## 254 0.00 0 1.587192
## 255 0.00 0 1.587192
## 256 0.00 0 1.587192
## 257 0.00 0 1.587192
## 258 0.00 0 1.587192
## 259 0.00 0 1.587192
## 260 0.00 0 1.587192
## 261 0.00 0 1.587192
## 262 0.00 0 1.587192
## 263 0.00 0 1.587192
## 264 0.00 0 1.587192
## 265 0.50 0 1.587192
## 266 0.50 0 1.587192
## 267 0.50 0 1.587192
## 268 0.50 0 1.587192
## 269 0.50 0 1.587192
## 270 0.50 0 1.587192
## 271 0.50 0 1.587192
## 272 0.50 0 1.587192
## 273 0.00 0.25 1.587192
## 274 0.00 0.25 1.587192
## 275 0.00 0.25 1.587192
## 276 0.00 0.25 1.587192
## 277 0.00 0.25 1.587192
## 278 0.00 0.25 1.587192
## 279 0.00 0.25 1.587192
## 280 0.00 0.25 1.587192
## 281 0.00 1 1.587192
## 282 0.00 1 1.587192
## 283 0.00 1 1.587192
## 284 0.00 1 1.587192
## 285 0.00 1 1.587192
## 286 0.00 1 1.587192
## 287 0.00 1 1.587192
## 288 0.00 1 1.587192
## 289 0.00 0.5 1.587192
## 290 0.00 0.5 1.587192
## 291 0.00 0.5 1.587192
## 292 0.00 0.5 1.587192
## 293 0.00 0.5 1.587192
## 294 0.00 0.5 1.587192
## 295 0.00 0.5 1.587192
## 296 0.00 0.5 1.587192
## 297 0.25 0.75 1.587192
## 298 0.25 0.75 1.587192
## 299 0.25 0.75 1.587192
## 300 0.25 0.75 1.587192
## 301 0.25 0.75 1.587192
## 302 0.25 0.75 1.587192
## 303 0.25 0.75 1.587192
## 304 0.25 0.75 1.587192
## 305 0.00 0 1.587192
## 306 0.00 0 1.587192
## 307 0.00 0 1.587192
## 308 0.00 0 1.587192
## 309 0.00 0 1.587192
## 310 0.00 0 1.587192
## 311 0.00 0 1.587192
## 312 0.00 0 1.587192
## 313 1.00 -1 1.587192
## 314 1.00 -1 1.587192
## 315 1.00 -1 1.587192
## 316 1.00 -1 1.587192
## 317 1.00 -1 1.587192
## 318 1.00 -1 1.587192
## 319 1.00 -1 1.587192
## 320 1.00 -1 1.587192
## 321 0.00 0.5 1.587192
## 322 0.00 0.5 1.587192
## 323 0.00 0.5 1.587192
## 324 0.00 0.5 1.587192
## 325 0.00 0.5 1.587192
## 326 0.00 0.5 1.587192
## 327 0.00 0.5 1.587192
## 328 0.00 0.5 1.587192
## 329 0.00 0.5 1.587192
## 330 0.00 0.5 1.587192
## 331 0.00 0.5 1.587192
## 332 0.00 0.5 1.587192
## 333 0.00 0.5 1.587192
## 334 0.00 0.5 1.587192
## 335 0.00 0.5 1.587192
## 336 0.00 0.5 1.587192
## 337 1.00 -1 1.587192
## 338 1.00 -1 1.587192
## 339 1.00 -1 1.587192
## 340 1.00 -1 1.587192
## 341 1.00 -1 1.587192
## 342 1.00 -1 1.587192
## 343 1.00 -1 1.587192
## 344 1.00 -1 1.587192
## 345 1.00 -0.75 1.587192
## 346 1.00 -0.75 1.587192
## 347 1.00 -0.75 1.587192
## 348 1.00 -0.75 1.587192
## 349 1.00 -0.75 1.587192
## 350 1.00 -0.75 1.587192
## 351 1.00 -0.75 1.587192
## 352 1.00 -0.75 1.587192
## 353 0.50 0.5 1.587192
## 354 0.50 0.5 1.587192
## 355 0.50 0.5 1.587192
## 356 0.50 0.5 1.587192
## 357 0.50 0.5 1.587192
## 358 0.50 0.5 1.587192
## 359 0.50 0.5 1.587192
## 360 0.50 0.5 1.587192
## 361 1.00 -1 1.587192
## 362 1.00 -1 1.587192
## 363 1.00 -1 1.587192
## 364 1.00 -1 1.587192
## 365 1.00 -1 1.587192
## 366 1.00 -1 1.587192
## 367 1.00 -1 1.587192
## 368 1.00 -1 1.587192
## 369 1.00 0 1.587192
## 370 1.00 0 1.587192
## 371 1.00 0 1.587192
## 372 1.00 0 1.587192
## 373 1.00 0 1.587192
## 374 1.00 0 1.587192
## 375 1.00 0 1.587192
## 376 1.00 0 1.587192
## 377 0.00 0 1.587192
## 378 0.00 0 1.587192
## 379 0.00 0 1.587192
## 380 0.00 0 1.587192
## 381 0.00 0 1.587192
## 382 0.00 0 1.587192
## 383 0.00 0 1.587192
## 384 0.00 0 1.587192
## 385 0.25 0.75 1.587192
## 386 0.25 0.75 1.587192
## 387 0.25 0.75 1.587192
## 388 0.25 0.75 1.587192
## 389 0.25 0.75 1.587192
## 390 0.25 0.75 1.587192
## 391 0.25 0.75 1.587192
## 392 0.25 0.75 1.587192
## 393 0.25 0.75 1.587192
## 394 0.25 0.75 1.587192
## 395 0.25 0.75 1.587192
## 396 0.25 0.75 1.587192
## 397 0.25 0.75 1.587192
## 398 0.25 0.75 1.587192
## 399 0.25 0.75 1.587192
## 400 0.25 0.75 1.587192
## 401 0.50 -0.5 1.587192
## 402 0.50 -0.5 1.587192
## 403 0.50 -0.5 1.587192
## 404 0.50 -0.5 1.587192
## 405 0.50 -0.5 1.587192
## 406 0.50 -0.5 1.587192
## 407 0.50 -0.5 1.587192
## 408 0.50 -0.5 1.587192
## 409 1.00 -1 1.587192
## 410 1.00 -1 1.587192
## 411 1.00 -1 1.587192
## 412 1.00 -1 1.587192
## 413 1.00 -1 1.587192
## 414 1.00 -1 1.587192
## 415 1.00 -1 1.587192
## 416 1.00 -1 1.587192
## 417 0.25 0.25 1.587192
## 418 0.25 0.25 1.587192
## 419 0.25 0.25 1.587192
## 420 0.25 0.25 1.587192
## 421 0.25 0.25 1.587192
## 422 0.25 0.25 1.587192
## 423 0.25 0.25 1.587192
## 424 0.25 0.25 1.587192
## 425 0.50 -0.5 1.587192
## 426 0.50 -0.5 1.587192
## 427 0.50 -0.5 1.587192
## 428 0.50 -0.5 1.587192
## 429 0.50 -0.5 1.587192
## 430 0.50 -0.5 1.587192
## 431 0.50 -0.5 1.587192
## 432 0.50 -0.5 1.587192
## 433 0.00 0.5 1.587192
## 434 0.00 0.5 1.587192
## 435 0.00 0.5 1.587192
## 436 0.00 0.5 1.587192
## 437 0.00 0.5 1.587192
## 438 0.00 0.5 1.587192
## 439 0.00 0.5 1.587192
## 440 0.00 0.5 1.587192
## 441 0.00 1 1.587192
## 442 0.00 1 1.587192
## 443 0.00 1 1.587192
## 444 0.00 1 1.587192
## 445 0.00 1 1.587192
## 446 0.00 1 1.587192
## 447 0.00 1 1.587192
## 448 0.00 1 1.587192
## 449 0.25 0.75 1.587192
## 450 0.25 0.75 1.587192
## 451 0.25 0.75 1.587192
## 452 0.25 0.75 1.587192
## 453 0.25 0.75 1.587192
## 454 0.25 0.75 1.587192
## 455 0.25 0.75 1.587192
## 456 0.25 0.75 1.587192
## 457 0.25 0.75 1.587192
## 458 0.25 0.75 1.587192
## 459 0.25 0.75 1.587192
## 460 0.25 0.75 1.587192
## 461 0.25 0.75 1.587192
## 462 0.25 0.75 1.587192
## 463 0.25 0.75 1.587192
## 464 0.25 0.75 1.587192
## 465 0.25 0.75 1.587192
## 466 0.25 0.75 1.587192
## 467 0.25 0.75 1.587192
## 468 0.25 0.75 1.587192
## 469 0.25 0.75 1.587192
## 470 0.25 0.75 1.587192
## 471 0.25 0.75 1.587192
## 472 0.25 0.75 1.587192
## 473 0.00 1 1.587192
## 474 0.00 1 1.587192
## 475 0.00 1 1.587192
## 476 0.00 1 1.587192
## 477 0.00 1 1.587192
## 478 0.00 1 1.587192
## 479 0.00 1 1.587192
## 480 0.00 1 1.587192
## 481 0.00 1 1.587192
## 482 0.00 1 1.587192
## 483 0.00 1 1.587192
## 484 0.00 1 1.587192
## 485 0.00 1 1.587192
## 486 0.00 1 1.587192
## 487 0.00 1 1.587192
## 488 0.00 1 1.587192
## 489 0.00 1 1.587192
## 490 0.00 1 1.587192
## 491 0.00 1 1.587192
## 492 0.00 1 1.587192
## 493 0.00 1 1.587192
## 494 0.00 1 1.587192
## 495 0.00 1 1.587192
## 496 0.00 1 1.587192
## 497 0.25 0 1.587192
## 498 0.25 0 1.587192
## 499 0.25 0 1.587192
## 500 0.25 0 1.587192
## 501 0.25 0 1.587192
## 502 0.25 0 1.587192
## 503 0.25 0 1.587192
## 504 0.25 0 1.587192
## 505 0.25 0.75 1.587192
## 506 0.25 0.75 1.587192
## 507 0.25 0.75 1.587192
## 508 0.25 0.75 1.587192
## 509 0.25 0.75 1.587192
## 510 0.25 0.75 1.587192
## 511 0.25 0.75 1.587192
## 512 0.25 0.75 1.587192
## 513 0.25 0.75 1.587192
## 514 0.25 0.75 1.587192
## 515 0.25 0.75 1.587192
## 516 0.25 0.75 1.587192
## 517 0.25 0.75 1.587192
## 518 0.25 0.75 1.587192
## 519 0.25 0.75 1.587192
## 520 0.25 0.75 1.587192
## 521 0.25 0.75 1.587192
## 522 0.25 0.75 1.587192
## 523 0.25 0.75 1.587192
## 524 0.25 0.75 1.587192
## 525 0.25 0.75 1.587192
## 526 0.25 0.75 1.587192
## 527 0.25 0.75 1.587192
## 528 0.25 0.75 1.587192
## 529 0.25 0.75 1.587192
## 530 0.25 0.75 1.587192
## 531 0.25 0.75 1.587192
## 532 0.25 0.75 1.587192
## 533 0.25 0.75 1.587192
## 534 0.25 0.75 1.587192
## 535 0.25 0.75 1.587192
## 536 0.25 0.75 1.587192
## 537 0.00 0 1.587192
## 538 0.00 0 1.587192
## 539 0.00 0 1.587192
## 540 0.00 0 1.587192
## 541 0.00 0 1.587192
## 542 0.00 0 1.587192
## 543 0.00 0 1.587192
## 544 0.00 0 1.587192
## 545 0.50 -0.5 1.587192
## 546 0.50 -0.5 1.587192
## 547 0.50 -0.5 1.587192
## 548 0.50 -0.5 1.587192
## 549 0.50 -0.5 1.587192
## 550 0.50 -0.5 1.587192
## 551 0.50 -0.5 1.587192
## 552 0.50 -0.5 1.587192
## 553 0.00 0 1.587192
## 554 0.00 0 1.587192
## 555 0.00 0 1.587192
## 556 0.00 0 1.587192
## 557 0.00 0 1.587192
## 558 0.00 0 1.587192
## 559 0.00 0 1.587192
## 560 0.00 0 1.587192
## 561 0.00 1 1.587192
## 562 0.00 1 1.587192
## 563 0.00 1 1.587192
## 564 0.00 1 1.587192
## 565 0.00 1 1.587192
## 566 0.00 1 1.587192
## 567 0.00 1 1.587192
## 568 0.00 1 1.587192
## 569 0.00 0 1.587192
## 570 0.00 0 1.587192
## 571 0.00 0 1.587192
## 572 0.00 0 1.587192
## 573 0.00 0 1.587192
## 574 0.00 0 1.587192
## 575 0.00 0 1.587192
## 576 0.00 0 1.587192
## 577 0.00 0.25 1.587192
## 578 0.00 0.25 1.587192
## 579 0.00 0.25 1.587192
## 580 0.00 0.25 1.587192
## 581 0.00 0.25 1.587192
## 582 0.00 0.25 1.587192
## 583 0.00 0.25 1.587192
## 584 0.00 0.25 1.587192
## 585 0.00 0 1.587192
## 586 0.00 0 1.587192
## 587 0.00 0 1.587192
## 588 0.00 0 1.587192
## 589 0.00 0 1.587192
## 590 0.00 0 1.587192
## 591 0.00 0 1.587192
## 592 0.00 0 1.587192
## 593 0.00 0.5 1.587192
## 594 0.00 0.5 1.587192
## 595 0.00 0.5 1.587192
## 596 0.00 0.5 1.587192
## 597 0.00 0.5 1.587192
## 598 0.00 0.5 1.587192
## 599 0.00 0.5 1.587192
## 600 0.00 0.5 1.587192
## 601 0.00 1 1.587192
## 602 0.00 1 1.587192
## 603 0.00 1 1.587192
## 604 0.00 1 1.587192
## 605 0.00 1 1.587192
## 606 0.00 1 1.587192
## 607 0.00 1 1.587192
## 608 0.00 1 1.587192
## 609 0.25 0.25 1.587192
## 610 0.25 0.25 1.587192
## 611 0.25 0.25 1.587192
## 612 0.25 0.25 1.587192
## 613 0.25 0.25 1.587192
## 614 0.25 0.25 1.587192
## 615 0.25 0.25 1.587192
## 616 0.25 0.25 1.587192
## 617 0.00 0.5 1.587192
## 618 0.00 0.5 1.587192
## 619 0.00 0.5 1.587192
## 620 0.00 0.5 1.587192
## 621 0.00 0.5 1.587192
## 622 0.00 0.5 1.587192
## 623 0.00 0.5 1.587192
## 624 0.00 0.5 1.587192
## 625 1.00 -0.75 1.587192
## 626 1.00 -0.75 1.587192
## 627 1.00 -0.75 1.587192
## 628 1.00 -0.75 1.587192
## 629 1.00 -0.75 1.587192
## 630 1.00 -0.75 1.587192
## 631 1.00 -0.75 1.587192
## 632 1.00 -0.75 1.587192
## 633 0.25 0.25 1.587192
## 634 0.25 0.25 1.587192
## 635 0.25 0.25 1.587192
## 636 0.25 0.25 1.587192
## 637 0.25 0.25 1.587192
## 638 0.25 0.25 1.587192
## 639 0.25 0.25 1.587192
## 640 0.25 0.25 1.587192
## 641 0.00 0 1.587192
## 642 0.00 0 1.587192
## 643 0.00 0 1.587192
## 644 0.00 0 1.587192
## 645 0.00 0 1.587192
## 646 0.00 0 1.587192
## 647 0.00 0 1.587192
## 648 0.00 0 1.587192
## 649 0.50 0 1.587192
## 650 0.50 0 1.587192
## 651 0.50 0 1.587192
## 652 0.50 0 1.587192
## 653 0.50 0 1.587192
## 654 0.50 0 1.587192
## 655 0.50 0 1.587192
## 656 0.50 0 1.587192
## 657 1.00 -1 1.587192
## 658 1.00 -1 1.587192
## 659 1.00 -1 1.587192
## 660 1.00 -1 1.587192
## 661 1.00 -1 1.587192
## 662 1.00 -1 1.587192
## 663 1.00 -1 1.587192
## 664 1.00 -1 1.587192
## 665 1.00 -1 1.587192
## 666 1.00 -1 1.587192
## 667 1.00 -1 1.587192
## 668 1.00 -1 1.587192
## 669 1.00 -1 1.587192
## 670 1.00 -1 1.587192
## 671 1.00 -1 1.587192
## 672 1.00 -1 1.587192
## 673 0.00 0.5 1.587192
## 674 0.00 0.5 1.587192
## 675 0.00 0.5 1.587192
## 676 0.00 0.5 1.587192
## 677 0.00 0.5 1.587192
## 678 0.00 0.5 1.587192
## 679 0.00 0.5 1.587192
## 680 0.00 0.5 1.587192
## 681 1.00 -1 1.587192
## 682 1.00 -1 1.587192
## 683 1.00 -1 1.587192
## 684 1.00 -1 1.587192
## 685 1.00 -1 1.587192
## 686 1.00 -1 1.587192
## 687 1.00 -1 1.587192
## 688 1.00 -1 1.587192
## 689 0.00 1 1.587192
## 690 0.00 1 1.587192
## 691 0.00 1 1.587192
## 692 0.00 1 1.587192
## 693 0.00 1 1.587192
## 694 0.00 1 1.587192
## 695 0.00 1 1.587192
## 696 0.00 1 1.587192
## 697 0.50 -0.25 1.587192
## 698 0.50 -0.25 1.587192
## 699 0.50 -0.25 1.587192
## 700 0.50 -0.25 1.587192
## 701 0.50 -0.25 1.587192
## 702 0.50 -0.25 1.587192
## 703 0.50 -0.25 1.587192
## 704 0.50 -0.25 1.587192
## 705 0.25 0.75 1.587192
## 706 0.25 0.75 1.587192
## 707 0.25 0.75 1.587192
## 708 0.25 0.75 1.587192
## 709 0.25 0.75 1.587192
## 710 0.25 0.75 1.587192
## 711 0.25 0.75 1.587192
## 712 0.25 0.75 1.587192
## 713 0.25 0.75 1.587192
## 714 0.25 0.75 1.587192
## 715 0.25 0.75 1.587192
## 716 0.25 0.75 1.587192
## 717 0.25 0.75 1.587192
## 718 0.25 0.75 1.587192
## 719 0.25 0.75 1.587192
## 720 0.25 0.75 1.587192
## 721 0.25 0.75 1.587192
## 722 0.25 0.75 1.587192
## 723 0.25 0.75 1.587192
## 724 0.25 0.75 1.587192
## 725 0.25 0.75 1.587192
## 726 0.25 0.75 1.587192
## 727 0.25 0.75 1.587192
## 728 0.25 0.75 1.587192
## 729 0.25 0.75 1.587192
## 730 0.25 0.75 1.587192
## 731 0.25 0.75 1.587192
## 732 0.25 0.75 1.587192
## 733 0.25 0.75 1.587192
## 734 0.25 0.75 1.587192
## 735 0.25 0.75 1.587192
## 736 0.25 0.75 1.587192
## 737 0.50 -0.25 1.587192
## 738 0.50 -0.25 1.587192
## 739 0.50 -0.25 1.587192
## 740 0.50 -0.25 1.587192
## 741 0.50 -0.25 1.587192
## 742 0.50 -0.25 1.587192
## 743 0.50 -0.25 1.587192
## 744 0.50 -0.25 1.587192
## 745 0.50 -0.5 1.587192
## 746 0.50 -0.5 1.587192
## 747 0.50 -0.5 1.587192
## 748 0.50 -0.5 1.587192
## 749 0.50 -0.5 1.587192
## 750 0.50 -0.5 1.587192
## 751 0.50 -0.5 1.587192
## 752 0.50 -0.5 1.587192
## 753 1.00 -1 1.587192
## 754 1.00 -1 1.587192
## 755 1.00 -1 1.587192
## 756 1.00 -1 1.587192
## 757 1.00 -1 1.587192
## 758 1.00 -1 1.587192
## 759 1.00 -1 1.587192
## 760 1.00 -1 1.587192
## 761 0.50 -0.5 1.587192
## 762 0.50 -0.5 1.587192
## 763 0.50 -0.5 1.587192
## 764 0.50 -0.5 1.587192
## 765 0.50 -0.5 1.587192
## 766 0.50 -0.5 1.587192
## 767 0.50 -0.5 1.587192
## 768 0.50 -0.5 1.587192
## 769 0.00 0.5 1.587192
## 770 0.00 0.5 1.587192
## 771 0.00 0.5 1.587192
## 772 0.00 0.5 1.587192
## 773 0.00 0.5 1.587192
## 774 0.00 0.5 1.587192
## 775 0.00 0.5 1.587192
## 776 0.00 0.5 1.587192
## 777 0.25 0.75 1.587192
## 778 0.25 0.75 1.587192
## 779 0.25 0.75 1.587192
## 780 0.25 0.75 1.587192
## 781 0.25 0.75 1.587192
## 782 0.25 0.75 1.587192
## 783 0.25 0.75 1.587192
## 784 0.25 0.75 1.587192
## 785 1.00 -1 1.587192
## 786 1.00 -1 1.587192
## 787 1.00 -1 1.587192
## 788 1.00 -1 1.587192
## 789 1.00 -1 1.587192
## 790 1.00 -1 1.587192
## 791 1.00 -1 1.587192
## 792 1.00 -1 1.587192
## 793 0.25 -0.25 1.587192
## 794 0.25 -0.25 1.587192
## 795 0.25 -0.25 1.587192
## 796 0.25 -0.25 1.587192
## 797 0.25 -0.25 1.587192
## 798 0.25 -0.25 1.587192
## 799 0.25 -0.25 1.587192
## avg_spike_count_trial_mean PC1_score PC2_score PC3_score
## 1 1.532212 6.23314355 -1.603968583 0.477741044
## 2 1.532212 6.23314355 -1.603968583 0.477741044
## 3 1.532212 6.23314355 -1.603968583 0.477741044
## 4 1.532212 6.23314355 -1.603968583 0.477741044
## 5 1.532212 6.23314355 -1.603968583 0.477741044
## 6 1.532212 6.23314355 -1.603968583 0.477741044
## 7 1.532212 6.23314355 -1.603968583 0.477741044
## 8 1.532212 6.23314355 -1.603968583 0.477741044
## 9 1.282819 -4.41896101 0.063781517 1.088331843
## 10 1.282819 -4.41896101 0.063781517 1.088331843
## 11 1.282819 -4.41896101 0.063781517 1.088331843
## 12 1.282819 -4.41896101 0.063781517 1.088331843
## 13 1.282819 -4.41896101 0.063781517 1.088331843
## 14 1.282819 -4.41896101 0.063781517 1.088331843
## 15 1.282819 -4.41896101 0.063781517 1.088331843
## 16 1.282819 -4.41896101 0.063781517 1.088331843
## 17 1.949552 24.46468703 -6.606811906 -4.434060982
## 18 1.949552 24.46468703 -6.606811906 -4.434060982
## 19 1.949552 24.46468703 -6.606811906 -4.434060982
## 20 1.949552 24.46468703 -6.606811906 -4.434060982
## 21 1.949552 24.46468703 -6.606811906 -4.434060982
## 22 1.949552 24.46468703 -6.606811906 -4.434060982
## 23 1.949552 24.46468703 -6.606811906 -4.434060982
## 24 1.949552 24.46468703 -6.606811906 -4.434060982
## 25 1.511712 -15.18244223 6.203218169 6.910487247
## 26 1.511712 -15.18244223 6.203218169 6.910487247
## 27 1.511712 -15.18244223 6.203218169 6.910487247
## 28 1.511712 -15.18244223 6.203218169 6.910487247
## 29 1.511712 -15.18244223 6.203218169 6.910487247
## 30 1.511712 -15.18244223 6.203218169 6.910487247
## 31 1.511712 -15.18244223 6.203218169 6.910487247
## 32 1.511712 -15.18244223 6.203218169 6.910487247
## 33 1.467846 -10.30329456 0.829046620 -4.425421860
## 34 1.467846 -10.30329456 0.829046620 -4.425421860
## 35 1.467846 -10.30329456 0.829046620 -4.425421860
## 36 1.467846 -10.30329456 0.829046620 -4.425421860
## 37 1.467846 -10.30329456 0.829046620 -4.425421860
## 38 1.467846 -10.30329456 0.829046620 -4.425421860
## 39 1.467846 -10.30329456 0.829046620 -4.425421860
## 40 1.467846 -10.30329456 0.829046620 -4.425421860
## 41 1.101268 -26.92813976 4.702953020 4.690650953
## 42 1.101268 -26.92813976 4.702953020 4.690650953
## 43 1.101268 -26.92813976 4.702953020 4.690650953
## 44 1.101268 -26.92813976 4.702953020 4.690650953
## 45 1.101268 -26.92813976 4.702953020 4.690650953
## 46 1.101268 -26.92813976 4.702953020 4.690650953
## 47 1.101268 -26.92813976 4.702953020 4.690650953
## 48 1.101268 -26.92813976 4.702953020 4.690650953
## 49 2.212830 32.79263226 -5.921637360 -4.438167965
## 50 2.212830 32.79263226 -5.921637360 -4.438167965
## 51 2.212830 32.79263226 -5.921637360 -4.438167965
## 52 2.212830 32.79263226 -5.921637360 -4.438167965
## 53 2.212830 32.79263226 -5.921637360 -4.438167965
## 54 2.212830 32.79263226 -5.921637360 -4.438167965
## 55 2.212830 32.79263226 -5.921637360 -4.438167965
## 56 2.212830 32.79263226 -5.921637360 -4.438167965
## 57 1.700408 3.85631411 0.448723184 1.568872613
## 58 1.700408 3.85631411 0.448723184 1.568872613
## 59 1.700408 3.85631411 0.448723184 1.568872613
## 60 1.700408 3.85631411 0.448723184 1.568872613
## 61 1.700408 3.85631411 0.448723184 1.568872613
## 62 1.700408 3.85631411 0.448723184 1.568872613
## 63 1.700408 3.85631411 0.448723184 1.568872613
## 64 1.700408 3.85631411 0.448723184 1.568872613
## 65 1.570457 -10.19656610 4.063265697 -0.425903542
## 66 1.570457 -10.19656610 4.063265697 -0.425903542
## 67 1.570457 -10.19656610 4.063265697 -0.425903542
## 68 1.570457 -10.19656610 4.063265697 -0.425903542
## 69 1.570457 -10.19656610 4.063265697 -0.425903542
## 70 1.570457 -10.19656610 4.063265697 -0.425903542
## 71 1.570457 -10.19656610 4.063265697 -0.425903542
## 72 1.570457 -10.19656610 4.063265697 -0.425903542
## 73 1.770952 20.14590708 -7.892832490 1.398709974
## 74 1.770952 20.14590708 -7.892832490 1.398709974
## 75 1.770952 20.14590708 -7.892832490 1.398709974
## 76 1.770952 20.14590708 -7.892832490 1.398709974
## 77 1.770952 20.14590708 -7.892832490 1.398709974
## 78 1.770952 20.14590708 -7.892832490 1.398709974
## 79 1.770952 20.14590708 -7.892832490 1.398709974
## 80 1.770952 20.14590708 -7.892832490 1.398709974
## 81 1.545299 8.84791159 -9.099518173 -1.296627418
## 82 1.545299 8.84791159 -9.099518173 -1.296627418
## 83 1.545299 8.84791159 -9.099518173 -1.296627418
## 84 1.545299 8.84791159 -9.099518173 -1.296627418
## 85 1.545299 8.84791159 -9.099518173 -1.296627418
## 86 1.545299 8.84791159 -9.099518173 -1.296627418
## 87 1.545299 8.84791159 -9.099518173 -1.296627418
## 88 1.545299 8.84791159 -9.099518173 -1.296627418
## 89 1.935912 23.55689697 -11.363618424 -1.472987899
## 90 1.935912 23.55689697 -11.363618424 -1.472987899
## 91 1.935912 23.55689697 -11.363618424 -1.472987899
## 92 1.935912 23.55689697 -11.363618424 -1.472987899
## 93 1.935912 23.55689697 -11.363618424 -1.472987899
## 94 1.935912 23.55689697 -11.363618424 -1.472987899
## 95 1.935912 23.55689697 -11.363618424 -1.472987899
## 96 1.935912 23.55689697 -11.363618424 -1.472987899
## 97 1.896264 18.11362824 0.414802302 5.294020207
## 98 1.896264 18.11362824 0.414802302 5.294020207
## 99 1.896264 18.11362824 0.414802302 5.294020207
## 100 1.896264 18.11362824 0.414802302 5.294020207
## 101 1.896264 18.11362824 0.414802302 5.294020207
## 102 1.896264 18.11362824 0.414802302 5.294020207
## 103 1.896264 18.11362824 0.414802302 5.294020207
## 104 1.896264 18.11362824 0.414802302 5.294020207
## 105 1.488461 -3.85981934 -0.912726481 -0.671871119
## 106 1.488461 -3.85981934 -0.912726481 -0.671871119
## 107 1.488461 -3.85981934 -0.912726481 -0.671871119
## 108 1.488461 -3.85981934 -0.912726481 -0.671871119
## 109 1.488461 -3.85981934 -0.912726481 -0.671871119
## 110 1.488461 -3.85981934 -0.912726481 -0.671871119
## 111 1.488461 -3.85981934 -0.912726481 -0.671871119
## 112 1.488461 -3.85981934 -0.912726481 -0.671871119
## 113 1.750295 -11.04831987 3.665898904 -5.991572802
## 114 1.750295 -11.04831987 3.665898904 -5.991572802
## 115 1.750295 -11.04831987 3.665898904 -5.991572802
## 116 1.750295 -11.04831987 3.665898904 -5.991572802
## 117 1.750295 -11.04831987 3.665898904 -5.991572802
## 118 1.750295 -11.04831987 3.665898904 -5.991572802
## 119 1.750295 -11.04831987 3.665898904 -5.991572802
## 120 1.750295 -11.04831987 3.665898904 -5.991572802
## 121 1.392064 -7.70576903 3.360455074 4.190812259
## 122 1.392064 -7.70576903 3.360455074 4.190812259
## 123 1.392064 -7.70576903 3.360455074 4.190812259
## 124 1.392064 -7.70576903 3.360455074 4.190812259
## 125 1.392064 -7.70576903 3.360455074 4.190812259
## 126 1.392064 -7.70576903 3.360455074 4.190812259
## 127 1.392064 -7.70576903 3.360455074 4.190812259
## 128 1.392064 -7.70576903 3.360455074 4.190812259
## 129 1.427421 -15.55822496 3.273666658 -1.472358719
## 130 1.427421 -15.55822496 3.273666658 -1.472358719
## 131 1.427421 -15.55822496 3.273666658 -1.472358719
## 132 1.427421 -15.55822496 3.273666658 -1.472358719
## 133 1.427421 -15.55822496 3.273666658 -1.472358719
## 134 1.427421 -15.55822496 3.273666658 -1.472358719
## 135 1.427421 -15.55822496 3.273666658 -1.472358719
## 136 1.427421 -15.55822496 3.273666658 -1.472358719
## 137 2.129435 41.63242907 -19.369335448 -17.245153479
## 138 2.129435 41.63242907 -19.369335448 -17.245153479
## 139 2.129435 41.63242907 -19.369335448 -17.245153479
## 140 2.129435 41.63242907 -19.369335448 -17.245153479
## 141 2.129435 41.63242907 -19.369335448 -17.245153479
## 142 2.129435 41.63242907 -19.369335448 -17.245153479
## 143 2.129435 41.63242907 -19.369335448 -17.245153479
## 144 2.129435 41.63242907 -19.369335448 -17.245153479
## 145 2.056584 22.17328423 -1.896369907 -1.856322077
## 146 2.056584 22.17328423 -1.896369907 -1.856322077
## 147 2.056584 22.17328423 -1.896369907 -1.856322077
## 148 2.056584 22.17328423 -1.896369907 -1.856322077
## 149 2.056584 22.17328423 -1.896369907 -1.856322077
## 150 2.056584 22.17328423 -1.896369907 -1.856322077
## 151 2.056584 22.17328423 -1.896369907 -1.856322077
## 152 2.056584 22.17328423 -1.896369907 -1.856322077
## 153 2.107518 25.83176742 -0.133443753 16.305228541
## 154 2.107518 25.83176742 -0.133443753 16.305228541
## 155 2.107518 25.83176742 -0.133443753 16.305228541
## 156 2.107518 25.83176742 -0.133443753 16.305228541
## 157 2.107518 25.83176742 -0.133443753 16.305228541
## 158 2.107518 25.83176742 -0.133443753 16.305228541
## 159 2.107518 25.83176742 -0.133443753 16.305228541
## 160 2.107518 25.83176742 -0.133443753 16.305228541
## 161 1.242777 -17.49401895 5.429233920 5.024136806
## 162 1.242777 -17.49401895 5.429233920 5.024136806
## 163 1.242777 -17.49401895 5.429233920 5.024136806
## 164 1.242777 -17.49401895 5.429233920 5.024136806
## 165 1.242777 -17.49401895 5.429233920 5.024136806
## 166 1.242777 -17.49401895 5.429233920 5.024136806
## 167 1.242777 -17.49401895 5.429233920 5.024136806
## 168 1.242777 -17.49401895 5.429233920 5.024136806
## 169 1.248009 0.12321593 -0.192153650 5.078458434
## 170 1.248009 0.12321593 -0.192153650 5.078458434
## 171 1.248009 0.12321593 -0.192153650 5.078458434
## 172 1.248009 0.12321593 -0.192153650 5.078458434
## 173 1.248009 0.12321593 -0.192153650 5.078458434
## 174 1.248009 0.12321593 -0.192153650 5.078458434
## 175 1.248009 0.12321593 -0.192153650 5.078458434
## 176 1.248009 0.12321593 -0.192153650 5.078458434
## 177 1.332307 -2.48791572 6.675629975 6.083463731
## 178 1.332307 -2.48791572 6.675629975 6.083463731
## 179 1.332307 -2.48791572 6.675629975 6.083463731
## 180 1.332307 -2.48791572 6.675629975 6.083463731
## 181 1.332307 -2.48791572 6.675629975 6.083463731
## 182 1.332307 -2.48791572 6.675629975 6.083463731
## 183 1.332307 -2.48791572 6.675629975 6.083463731
## 184 1.332307 -2.48791572 6.675629975 6.083463731
## 185 1.687835 -29.87686251 23.724374568 24.671500695
## 186 1.687835 -29.87686251 23.724374568 24.671500695
## 187 1.687835 -29.87686251 23.724374568 24.671500695
## 188 1.687835 -29.87686251 23.724374568 24.671500695
## 189 1.687835 -29.87686251 23.724374568 24.671500695
## 190 1.687835 -29.87686251 23.724374568 24.671500695
## 191 1.687835 -29.87686251 23.724374568 24.671500695
## 192 1.687835 -29.87686251 23.724374568 24.671500695
## 193 1.699528 3.33931560 -3.396559216 0.048789304
## 194 1.699528 3.33931560 -3.396559216 0.048789304
## 195 1.699528 3.33931560 -3.396559216 0.048789304
## 196 1.699528 3.33931560 -3.396559216 0.048789304
## 197 1.699528 3.33931560 -3.396559216 0.048789304
## 198 1.699528 3.33931560 -3.396559216 0.048789304
## 199 1.699528 3.33931560 -3.396559216 0.048789304
## 200 1.699528 3.33931560 -3.396559216 0.048789304
## 201 1.988648 31.03012059 -3.230907799 0.184373638
## 202 1.988648 31.03012059 -3.230907799 0.184373638
## 203 1.988648 31.03012059 -3.230907799 0.184373638
## 204 1.988648 31.03012059 -3.230907799 0.184373638
## 205 1.988648 31.03012059 -3.230907799 0.184373638
## 206 1.988648 31.03012059 -3.230907799 0.184373638
## 207 1.988648 31.03012059 -3.230907799 0.184373638
## 208 1.988648 31.03012059 -3.230907799 0.184373638
## 209 1.961704 26.58427770 -11.124756520 -7.420832502
## 210 1.961704 26.58427770 -11.124756520 -7.420832502
## 211 1.961704 26.58427770 -11.124756520 -7.420832502
## 212 1.961704 26.58427770 -11.124756520 -7.420832502
## 213 1.961704 26.58427770 -11.124756520 -7.420832502
## 214 1.961704 26.58427770 -11.124756520 -7.420832502
## 215 1.961704 26.58427770 -11.124756520 -7.420832502
## 216 1.961704 26.58427770 -11.124756520 -7.420832502
## 217 2.433267 59.11789601 168.234523705 -22.267730173
## 218 2.433267 59.11789601 168.234523705 -22.267730173
## 219 2.433267 59.11789601 168.234523705 -22.267730173
## 220 2.433267 59.11789601 168.234523705 -22.267730173
## 221 2.433267 59.11789601 168.234523705 -22.267730173
## 222 2.433267 59.11789601 168.234523705 -22.267730173
## 223 2.433267 59.11789601 168.234523705 -22.267730173
## 224 2.433267 59.11789601 168.234523705 -22.267730173
## 225 1.065124 -16.07380133 4.367056865 1.040885637
## 226 1.065124 -16.07380133 4.367056865 1.040885637
## 227 1.065124 -16.07380133 4.367056865 1.040885637
## 228 1.065124 -16.07380133 4.367056865 1.040885637
## 229 1.065124 -16.07380133 4.367056865 1.040885637
## 230 1.065124 -16.07380133 4.367056865 1.040885637
## 231 1.065124 -16.07380133 4.367056865 1.040885637
## 232 1.065124 -16.07380133 4.367056865 1.040885637
## 233 2.031494 20.50935956 -5.106349348 -0.987923271
## 234 2.031494 20.50935956 -5.106349348 -0.987923271
## 235 2.031494 20.50935956 -5.106349348 -0.987923271
## 236 2.031494 20.50935956 -5.106349348 -0.987923271
## 237 2.031494 20.50935956 -5.106349348 -0.987923271
## 238 2.031494 20.50935956 -5.106349348 -0.987923271
## 239 2.031494 20.50935956 -5.106349348 -0.987923271
## 240 2.031494 20.50935956 -5.106349348 -0.987923271
## 241 1.768648 17.64589659 -3.820947683 3.940943108
## 242 1.768648 17.64589659 -3.820947683 3.940943108
## 243 1.768648 17.64589659 -3.820947683 3.940943108
## 244 1.768648 17.64589659 -3.820947683 3.940943108
## 245 1.768648 17.64589659 -3.820947683 3.940943108
## 246 1.768648 17.64589659 -3.820947683 3.940943108
## 247 1.768648 17.64589659 -3.820947683 3.940943108
## 248 1.768648 17.64589659 -3.820947683 3.940943108
## 249 1.295795 -17.89513729 4.934336085 -2.954943422
## 250 1.295795 -17.89513729 4.934336085 -2.954943422
## 251 1.295795 -17.89513729 4.934336085 -2.954943422
## 252 1.295795 -17.89513729 4.934336085 -2.954943422
## 253 1.295795 -17.89513729 4.934336085 -2.954943422
## 254 1.295795 -17.89513729 4.934336085 -2.954943422
## 255 1.295795 -17.89513729 4.934336085 -2.954943422
## 256 1.295795 -17.89513729 4.934336085 -2.954943422
## 257 1.271087 -9.24192251 1.738185692 1.705935319
## 258 1.271087 -9.24192251 1.738185692 1.705935319
## 259 1.271087 -9.24192251 1.738185692 1.705935319
## 260 1.271087 -9.24192251 1.738185692 1.705935319
## 261 1.271087 -9.24192251 1.738185692 1.705935319
## 262 1.271087 -9.24192251 1.738185692 1.705935319
## 263 1.271087 -9.24192251 1.738185692 1.705935319
## 264 1.271087 -9.24192251 1.738185692 1.705935319
## 265 1.664455 9.76205120 -4.032374889 3.241274169
## 266 1.664455 9.76205120 -4.032374889 3.241274169
## 267 1.664455 9.76205120 -4.032374889 3.241274169
## 268 1.664455 9.76205120 -4.032374889 3.241274169
## 269 1.664455 9.76205120 -4.032374889 3.241274169
## 270 1.664455 9.76205120 -4.032374889 3.241274169
## 271 1.664455 9.76205120 -4.032374889 3.241274169
## 272 1.664455 9.76205120 -4.032374889 3.241274169
## 273 1.936979 18.88564484 -5.554654503 0.255583258
## 274 1.936979 18.88564484 -5.554654503 0.255583258
## 275 1.936979 18.88564484 -5.554654503 0.255583258
## 276 1.936979 18.88564484 -5.554654503 0.255583258
## 277 1.936979 18.88564484 -5.554654503 0.255583258
## 278 1.936979 18.88564484 -5.554654503 0.255583258
## 279 1.936979 18.88564484 -5.554654503 0.255583258
## 280 1.936979 18.88564484 -5.554654503 0.255583258
## 281 1.962225 25.04248801 -13.953423255 4.642631640
## 282 1.962225 25.04248801 -13.953423255 4.642631640
## 283 1.962225 25.04248801 -13.953423255 4.642631640
## 284 1.962225 25.04248801 -13.953423255 4.642631640
## 285 1.962225 25.04248801 -13.953423255 4.642631640
## 286 1.962225 25.04248801 -13.953423255 4.642631640
## 287 1.962225 25.04248801 -13.953423255 4.642631640
## 288 1.962225 25.04248801 -13.953423255 4.642631640
## 289 1.574236 5.58371231 1.416912716 8.726141037
## 290 1.574236 5.58371231 1.416912716 8.726141037
## 291 1.574236 5.58371231 1.416912716 8.726141037
## 292 1.574236 5.58371231 1.416912716 8.726141037
## 293 1.574236 5.58371231 1.416912716 8.726141037
## 294 1.574236 5.58371231 1.416912716 8.726141037
## 295 1.574236 5.58371231 1.416912716 8.726141037
## 296 1.574236 5.58371231 1.416912716 8.726141037
## 297 1.615772 0.05938773 0.706613258 5.113079533
## 298 1.615772 0.05938773 0.706613258 5.113079533
## 299 1.615772 0.05938773 0.706613258 5.113079533
## 300 1.615772 0.05938773 0.706613258 5.113079533
## 301 1.615772 0.05938773 0.706613258 5.113079533
## 302 1.615772 0.05938773 0.706613258 5.113079533
## 303 1.615772 0.05938773 0.706613258 5.113079533
## 304 1.615772 0.05938773 0.706613258 5.113079533
## 305 1.139743 -17.77270663 4.872420198 2.962379747
## 306 1.139743 -17.77270663 4.872420198 2.962379747
## 307 1.139743 -17.77270663 4.872420198 2.962379747
## 308 1.139743 -17.77270663 4.872420198 2.962379747
## 309 1.139743 -17.77270663 4.872420198 2.962379747
## 310 1.139743 -17.77270663 4.872420198 2.962379747
## 311 1.139743 -17.77270663 4.872420198 2.962379747
## 312 1.139743 -17.77270663 4.872420198 2.962379747
## 313 1.927213 23.45251163 3.936507662 6.428773101
## 314 1.927213 23.45251163 3.936507662 6.428773101
## 315 1.927213 23.45251163 3.936507662 6.428773101
## 316 1.927213 23.45251163 3.936507662 6.428773101
## 317 1.927213 23.45251163 3.936507662 6.428773101
## 318 1.927213 23.45251163 3.936507662 6.428773101
## 319 1.927213 23.45251163 3.936507662 6.428773101
## 320 1.927213 23.45251163 3.936507662 6.428773101
## 321 1.787235 15.54084275 -2.426849273 6.864421247
## 322 1.787235 15.54084275 -2.426849273 6.864421247
## 323 1.787235 15.54084275 -2.426849273 6.864421247
## 324 1.787235 15.54084275 -2.426849273 6.864421247
## 325 1.787235 15.54084275 -2.426849273 6.864421247
## 326 1.787235 15.54084275 -2.426849273 6.864421247
## 327 1.787235 15.54084275 -2.426849273 6.864421247
## 328 1.787235 15.54084275 -2.426849273 6.864421247
## 329 1.316892 -12.49231608 2.517656404 4.231524660
## 330 1.316892 -12.49231608 2.517656404 4.231524660
## 331 1.316892 -12.49231608 2.517656404 4.231524660
## 332 1.316892 -12.49231608 2.517656404 4.231524660
## 333 1.316892 -12.49231608 2.517656404 4.231524660
## 334 1.316892 -12.49231608 2.517656404 4.231524660
## 335 1.316892 -12.49231608 2.517656404 4.231524660
## 336 1.316892 -12.49231608 2.517656404 4.231524660
## 337 1.875144 25.21624625 -5.419623341 3.031898648
## 338 1.875144 25.21624625 -5.419623341 3.031898648
## 339 1.875144 25.21624625 -5.419623341 3.031898648
## 340 1.875144 25.21624625 -5.419623341 3.031898648
## 341 1.875144 25.21624625 -5.419623341 3.031898648
## 342 1.875144 25.21624625 -5.419623341 3.031898648
## 343 1.875144 25.21624625 -5.419623341 3.031898648
## 344 1.875144 25.21624625 -5.419623341 3.031898648
## 345 1.972165 22.71903695 -3.088402967 3.274135381
## 346 1.972165 22.71903695 -3.088402967 3.274135381
## 347 1.972165 22.71903695 -3.088402967 3.274135381
## 348 1.972165 22.71903695 -3.088402967 3.274135381
## 349 1.972165 22.71903695 -3.088402967 3.274135381
## 350 1.972165 22.71903695 -3.088402967 3.274135381
## 351 1.972165 22.71903695 -3.088402967 3.274135381
## 352 1.972165 22.71903695 -3.088402967 3.274135381
## 353 1.716292 14.99814115 -8.230671628 -2.507626506
## 354 1.716292 14.99814115 -8.230671628 -2.507626506
## 355 1.716292 14.99814115 -8.230671628 -2.507626506
## 356 1.716292 14.99814115 -8.230671628 -2.507626506
## 357 1.716292 14.99814115 -8.230671628 -2.507626506
## 358 1.716292 14.99814115 -8.230671628 -2.507626506
## 359 1.716292 14.99814115 -8.230671628 -2.507626506
## 360 1.716292 14.99814115 -8.230671628 -2.507626506
## 361 2.281738 28.93647718 -10.439235877 -1.220833832
## 362 2.281738 28.93647718 -10.439235877 -1.220833832
## 363 2.281738 28.93647718 -10.439235877 -1.220833832
## 364 2.281738 28.93647718 -10.439235877 -1.220833832
## 365 2.281738 28.93647718 -10.439235877 -1.220833832
## 366 2.281738 28.93647718 -10.439235877 -1.220833832
## 367 2.281738 28.93647718 -10.439235877 -1.220833832
## 368 2.281738 28.93647718 -10.439235877 -1.220833832
## 369 1.737463 11.93830677 -5.025973744 3.078769673
## 370 1.737463 11.93830677 -5.025973744 3.078769673
## 371 1.737463 11.93830677 -5.025973744 3.078769673
## 372 1.737463 11.93830677 -5.025973744 3.078769673
## 373 1.737463 11.93830677 -5.025973744 3.078769673
## 374 1.737463 11.93830677 -5.025973744 3.078769673
## 375 1.737463 11.93830677 -5.025973744 3.078769673
## 376 1.737463 11.93830677 -5.025973744 3.078769673
## 377 1.217402 -25.47591357 4.148604644 1.431997792
## 378 1.217402 -25.47591357 4.148604644 1.431997792
## 379 1.217402 -25.47591357 4.148604644 1.431997792
## 380 1.217402 -25.47591357 4.148604644 1.431997792
## 381 1.217402 -25.47591357 4.148604644 1.431997792
## 382 1.217402 -25.47591357 4.148604644 1.431997792
## 383 1.217402 -25.47591357 4.148604644 1.431997792
## 384 1.217402 -25.47591357 4.148604644 1.431997792
## 385 1.311985 -6.87835906 2.097741779 2.507726039
## 386 1.311985 -6.87835906 2.097741779 2.507726039
## 387 1.311985 -6.87835906 2.097741779 2.507726039
## 388 1.311985 -6.87835906 2.097741779 2.507726039
## 389 1.311985 -6.87835906 2.097741779 2.507726039
## 390 1.311985 -6.87835906 2.097741779 2.507726039
## 391 1.311985 -6.87835906 2.097741779 2.507726039
## 392 1.311985 -6.87835906 2.097741779 2.507726039
## 393 1.332709 -0.53605085 -3.392165362 0.006021204
## 394 1.332709 -0.53605085 -3.392165362 0.006021204
## 395 1.332709 -0.53605085 -3.392165362 0.006021204
## 396 1.332709 -0.53605085 -3.392165362 0.006021204
## 397 1.332709 -0.53605085 -3.392165362 0.006021204
## 398 1.332709 -0.53605085 -3.392165362 0.006021204
## 399 1.332709 -0.53605085 -3.392165362 0.006021204
## 400 1.332709 -0.53605085 -3.392165362 0.006021204
## 401 2.066526 25.52184984 -4.490870134 3.207272813
## 402 2.066526 25.52184984 -4.490870134 3.207272813
## 403 2.066526 25.52184984 -4.490870134 3.207272813
## 404 2.066526 25.52184984 -4.490870134 3.207272813
## 405 2.066526 25.52184984 -4.490870134 3.207272813
## 406 2.066526 25.52184984 -4.490870134 3.207272813
## 407 2.066526 25.52184984 -4.490870134 3.207272813
## 408 2.066526 25.52184984 -4.490870134 3.207272813
## 409 1.960885 18.89375271 -1.575970764 0.166999984
## 410 1.960885 18.89375271 -1.575970764 0.166999984
## 411 1.960885 18.89375271 -1.575970764 0.166999984
## 412 1.960885 18.89375271 -1.575970764 0.166999984
## 413 1.960885 18.89375271 -1.575970764 0.166999984
## 414 1.960885 18.89375271 -1.575970764 0.166999984
## 415 1.960885 18.89375271 -1.575970764 0.166999984
## 416 1.960885 18.89375271 -1.575970764 0.166999984
## 417 1.354324 -5.67663414 -2.743311614 4.728891272
## 418 1.354324 -5.67663414 -2.743311614 4.728891272
## 419 1.354324 -5.67663414 -2.743311614 4.728891272
## 420 1.354324 -5.67663414 -2.743311614 4.728891272
## 421 1.354324 -5.67663414 -2.743311614 4.728891272
## 422 1.354324 -5.67663414 -2.743311614 4.728891272
## 423 1.354324 -5.67663414 -2.743311614 4.728891272
## 424 1.354324 -5.67663414 -2.743311614 4.728891272
## 425 1.720417 3.90394336 -7.483305214 -7.207340890
## 426 1.720417 3.90394336 -7.483305214 -7.207340890
## 427 1.720417 3.90394336 -7.483305214 -7.207340890
## 428 1.720417 3.90394336 -7.483305214 -7.207340890
## 429 1.720417 3.90394336 -7.483305214 -7.207340890
## 430 1.720417 3.90394336 -7.483305214 -7.207340890
## 431 1.720417 3.90394336 -7.483305214 -7.207340890
## 432 1.720417 3.90394336 -7.483305214 -7.207340890
## 433 1.495052 3.83928528 -1.300400185 2.602533499
## 434 1.495052 3.83928528 -1.300400185 2.602533499
## 435 1.495052 3.83928528 -1.300400185 2.602533499
## 436 1.495052 3.83928528 -1.300400185 2.602533499
## 437 1.495052 3.83928528 -1.300400185 2.602533499
## 438 1.495052 3.83928528 -1.300400185 2.602533499
## 439 1.495052 3.83928528 -1.300400185 2.602533499
## 440 1.495052 3.83928528 -1.300400185 2.602533499
## 441 2.176868 32.24724162 -18.375955807 -9.521527250
## 442 2.176868 32.24724162 -18.375955807 -9.521527250
## 443 2.176868 32.24724162 -18.375955807 -9.521527250
## 444 2.176868 32.24724162 -18.375955807 -9.521527250
## 445 2.176868 32.24724162 -18.375955807 -9.521527250
## 446 2.176868 32.24724162 -18.375955807 -9.521527250
## 447 2.176868 32.24724162 -18.375955807 -9.521527250
## 448 2.176868 32.24724162 -18.375955807 -9.521527250
## 449 1.371807 -12.23237279 -0.706071047 0.306285204
## 450 1.371807 -12.23237279 -0.706071047 0.306285204
## 451 1.371807 -12.23237279 -0.706071047 0.306285204
## 452 1.371807 -12.23237279 -0.706071047 0.306285204
## 453 1.371807 -12.23237279 -0.706071047 0.306285204
## 454 1.371807 -12.23237279 -0.706071047 0.306285204
## 455 1.371807 -12.23237279 -0.706071047 0.306285204
## 456 1.371807 -12.23237279 -0.706071047 0.306285204
## 457 1.268297 -12.91022816 -0.196902103 1.797264466
## 458 1.268297 -12.91022816 -0.196902103 1.797264466
## 459 1.268297 -12.91022816 -0.196902103 1.797264466
## 460 1.268297 -12.91022816 -0.196902103 1.797264466
## 461 1.268297 -12.91022816 -0.196902103 1.797264466
## 462 1.268297 -12.91022816 -0.196902103 1.797264466
## 463 1.268297 -12.91022816 -0.196902103 1.797264466
## 464 1.268297 -12.91022816 -0.196902103 1.797264466
## 465 1.226878 -16.15826109 2.407287275 1.034344500
## 466 1.226878 -16.15826109 2.407287275 1.034344500
## 467 1.226878 -16.15826109 2.407287275 1.034344500
## 468 1.226878 -16.15826109 2.407287275 1.034344500
## 469 1.226878 -16.15826109 2.407287275 1.034344500
## 470 1.226878 -16.15826109 2.407287275 1.034344500
## 471 1.226878 -16.15826109 2.407287275 1.034344500
## 472 1.226878 -16.15826109 2.407287275 1.034344500
## 473 2.133120 29.50098979 -17.090699699 -9.173689745
## 474 2.133120 29.50098979 -17.090699699 -9.173689745
## 475 2.133120 29.50098979 -17.090699699 -9.173689745
## 476 2.133120 29.50098979 -17.090699699 -9.173689745
## 477 2.133120 29.50098979 -17.090699699 -9.173689745
## 478 2.133120 29.50098979 -17.090699699 -9.173689745
## 479 2.133120 29.50098979 -17.090699699 -9.173689745
## 480 2.133120 29.50098979 -17.090699699 -9.173689745
## 481 2.039283 13.59060834 7.830100741 12.027914954
## 482 2.039283 13.59060834 7.830100741 12.027914954
## 483 2.039283 13.59060834 7.830100741 12.027914954
## 484 2.039283 13.59060834 7.830100741 12.027914954
## 485 2.039283 13.59060834 7.830100741 12.027914954
## 486 2.039283 13.59060834 7.830100741 12.027914954
## 487 2.039283 13.59060834 7.830100741 12.027914954
## 488 2.039283 13.59060834 7.830100741 12.027914954
## 489 1.558877 -28.52454721 2.932621272 6.639076286
## 490 1.558877 -28.52454721 2.932621272 6.639076286
## 491 1.558877 -28.52454721 2.932621272 6.639076286
## 492 1.558877 -28.52454721 2.932621272 6.639076286
## 493 1.558877 -28.52454721 2.932621272 6.639076286
## 494 1.558877 -28.52454721 2.932621272 6.639076286
## 495 1.558877 -28.52454721 2.932621272 6.639076286
## 496 1.558877 -28.52454721 2.932621272 6.639076286
## 497 1.317065 -6.40692291 -0.009393108 3.447168831
## 498 1.317065 -6.40692291 -0.009393108 3.447168831
## 499 1.317065 -6.40692291 -0.009393108 3.447168831
## 500 1.317065 -6.40692291 -0.009393108 3.447168831
## 501 1.317065 -6.40692291 -0.009393108 3.447168831
## 502 1.317065 -6.40692291 -0.009393108 3.447168831
## 503 1.317065 -6.40692291 -0.009393108 3.447168831
## 504 1.317065 -6.40692291 -0.009393108 3.447168831
## 505 1.569593 -32.36935873 10.040871154 13.532931336
## 506 1.569593 -32.36935873 10.040871154 13.532931336
## 507 1.569593 -32.36935873 10.040871154 13.532931336
## 508 1.569593 -32.36935873 10.040871154 13.532931336
## 509 1.569593 -32.36935873 10.040871154 13.532931336
## 510 1.569593 -32.36935873 10.040871154 13.532931336
## 511 1.569593 -32.36935873 10.040871154 13.532931336
## 512 1.569593 -32.36935873 10.040871154 13.532931336
## 513 1.475381 -20.58711518 0.908378464 4.911138542
## 514 1.475381 -20.58711518 0.908378464 4.911138542
## 515 1.475381 -20.58711518 0.908378464 4.911138542
## 516 1.475381 -20.58711518 0.908378464 4.911138542
## 517 1.475381 -20.58711518 0.908378464 4.911138542
## 518 1.475381 -20.58711518 0.908378464 4.911138542
## 519 1.475381 -20.58711518 0.908378464 4.911138542
## 520 1.475381 -20.58711518 0.908378464 4.911138542
## 521 1.446998 -14.46494379 -1.335808271 -2.068843104
## 522 1.446998 -14.46494379 -1.335808271 -2.068843104
## 523 1.446998 -14.46494379 -1.335808271 -2.068843104
## 524 1.446998 -14.46494379 -1.335808271 -2.068843104
## 525 1.446998 -14.46494379 -1.335808271 -2.068843104
## 526 1.446998 -14.46494379 -1.335808271 -2.068843104
## 527 1.446998 -14.46494379 -1.335808271 -2.068843104
## 528 1.446998 -14.46494379 -1.335808271 -2.068843104
## 529 1.885354 10.71342402 1.175787136 -0.152241121
## 530 1.885354 10.71342402 1.175787136 -0.152241121
## 531 1.885354 10.71342402 1.175787136 -0.152241121
## 532 1.885354 10.71342402 1.175787136 -0.152241121
## 533 1.885354 10.71342402 1.175787136 -0.152241121
## 534 1.885354 10.71342402 1.175787136 -0.152241121
## 535 1.885354 10.71342402 1.175787136 -0.152241121
## 536 1.885354 10.71342402 1.175787136 -0.152241121
## 537 1.323797 -15.10629901 2.381613648 2.540960026
## 538 1.323797 -15.10629901 2.381613648 2.540960026
## 539 1.323797 -15.10629901 2.381613648 2.540960026
## 540 1.323797 -15.10629901 2.381613648 2.540960026
## 541 1.323797 -15.10629901 2.381613648 2.540960026
## 542 1.323797 -15.10629901 2.381613648 2.540960026
## 543 1.323797 -15.10629901 2.381613648 2.540960026
## 544 1.323797 -15.10629901 2.381613648 2.540960026
## 545 1.442672 3.70861893 -1.393531358 0.844552915
## 546 1.442672 3.70861893 -1.393531358 0.844552915
## 547 1.442672 3.70861893 -1.393531358 0.844552915
## 548 1.442672 3.70861893 -1.393531358 0.844552915
## 549 1.442672 3.70861893 -1.393531358 0.844552915
## 550 1.442672 3.70861893 -1.393531358 0.844552915
## 551 1.442672 3.70861893 -1.393531358 0.844552915
## 552 1.442672 3.70861893 -1.393531358 0.844552915
## 553 1.527988 -19.39208862 10.377012887 1.563105839
## 554 1.527988 -19.39208862 10.377012887 1.563105839
## 555 1.527988 -19.39208862 10.377012887 1.563105839
## 556 1.527988 -19.39208862 10.377012887 1.563105839
## 557 1.527988 -19.39208862 10.377012887 1.563105839
## 558 1.527988 -19.39208862 10.377012887 1.563105839
## 559 1.527988 -19.39208862 10.377012887 1.563105839
## 560 1.527988 -19.39208862 10.377012887 1.563105839
## 561 1.476868 -7.76030284 5.232287515 3.918103384
## 562 1.476868 -7.76030284 5.232287515 3.918103384
## 563 1.476868 -7.76030284 5.232287515 3.918103384
## 564 1.476868 -7.76030284 5.232287515 3.918103384
## 565 1.476868 -7.76030284 5.232287515 3.918103384
## 566 1.476868 -7.76030284 5.232287515 3.918103384
## 567 1.476868 -7.76030284 5.232287515 3.918103384
## 568 1.476868 -7.76030284 5.232287515 3.918103384
## 569 1.283519 -11.87422195 3.172843737 4.343713580
## 570 1.283519 -11.87422195 3.172843737 4.343713580
## 571 1.283519 -11.87422195 3.172843737 4.343713580
## 572 1.283519 -11.87422195 3.172843737 4.343713580
## 573 1.283519 -11.87422195 3.172843737 4.343713580
## 574 1.283519 -11.87422195 3.172843737 4.343713580
## 575 1.283519 -11.87422195 3.172843737 4.343713580
## 576 1.283519 -11.87422195 3.172843737 4.343713580
## 577 1.520876 -5.49014813 -2.142368406 2.305074226
## 578 1.520876 -5.49014813 -2.142368406 2.305074226
## 579 1.520876 -5.49014813 -2.142368406 2.305074226
## 580 1.520876 -5.49014813 -2.142368406 2.305074226
## 581 1.520876 -5.49014813 -2.142368406 2.305074226
## 582 1.520876 -5.49014813 -2.142368406 2.305074226
## 583 1.520876 -5.49014813 -2.142368406 2.305074226
## 584 1.520876 -5.49014813 -2.142368406 2.305074226
## 585 1.610879 -39.60200084 14.210464843 -0.327577123
## 586 1.610879 -39.60200084 14.210464843 -0.327577123
## 587 1.610879 -39.60200084 14.210464843 -0.327577123
## 588 1.610879 -39.60200084 14.210464843 -0.327577123
## 589 1.610879 -39.60200084 14.210464843 -0.327577123
## 590 1.610879 -39.60200084 14.210464843 -0.327577123
## 591 1.610879 -39.60200084 14.210464843 -0.327577123
## 592 1.610879 -39.60200084 14.210464843 -0.327577123
## 593 1.579430 -27.92398594 4.388916066 6.470964917
## 594 1.579430 -27.92398594 4.388916066 6.470964917
## 595 1.579430 -27.92398594 4.388916066 6.470964917
## 596 1.579430 -27.92398594 4.388916066 6.470964917
## 597 1.579430 -27.92398594 4.388916066 6.470964917
## 598 1.579430 -27.92398594 4.388916066 6.470964917
## 599 1.579430 -27.92398594 4.388916066 6.470964917
## 600 1.579430 -27.92398594 4.388916066 6.470964917
## 601 1.440782 3.25044638 -2.820617085 3.139548045
## 602 1.440782 3.25044638 -2.820617085 3.139548045
## 603 1.440782 3.25044638 -2.820617085 3.139548045
## 604 1.440782 3.25044638 -2.820617085 3.139548045
## 605 1.440782 3.25044638 -2.820617085 3.139548045
## 606 1.440782 3.25044638 -2.820617085 3.139548045
## 607 1.440782 3.25044638 -2.820617085 3.139548045
## 608 1.440782 3.25044638 -2.820617085 3.139548045
## 609 1.334961 -11.55922671 2.234776370 5.076352083
## 610 1.334961 -11.55922671 2.234776370 5.076352083
## 611 1.334961 -11.55922671 2.234776370 5.076352083
## 612 1.334961 -11.55922671 2.234776370 5.076352083
## 613 1.334961 -11.55922671 2.234776370 5.076352083
## 614 1.334961 -11.55922671 2.234776370 5.076352083
## 615 1.334961 -11.55922671 2.234776370 5.076352083
## 616 1.334961 -11.55922671 2.234776370 5.076352083
## 617 1.352336 -16.65475607 1.244845116 5.202360171
## 618 1.352336 -16.65475607 1.244845116 5.202360171
## 619 1.352336 -16.65475607 1.244845116 5.202360171
## 620 1.352336 -16.65475607 1.244845116 5.202360171
## 621 1.352336 -16.65475607 1.244845116 5.202360171
## 622 1.352336 -16.65475607 1.244845116 5.202360171
## 623 1.352336 -16.65475607 1.244845116 5.202360171
## 624 1.352336 -16.65475607 1.244845116 5.202360171
## 625 1.776516 15.06440462 -2.514546983 2.933320675
## 626 1.776516 15.06440462 -2.514546983 2.933320675
## 627 1.776516 15.06440462 -2.514546983 2.933320675
## 628 1.776516 15.06440462 -2.514546983 2.933320675
## 629 1.776516 15.06440462 -2.514546983 2.933320675
## 630 1.776516 15.06440462 -2.514546983 2.933320675
## 631 1.776516 15.06440462 -2.514546983 2.933320675
## 632 1.776516 15.06440462 -2.514546983 2.933320675
## 633 1.152624 -21.42335239 0.977109764 -0.038764323
## 634 1.152624 -21.42335239 0.977109764 -0.038764323
## 635 1.152624 -21.42335239 0.977109764 -0.038764323
## 636 1.152624 -21.42335239 0.977109764 -0.038764323
## 637 1.152624 -21.42335239 0.977109764 -0.038764323
## 638 1.152624 -21.42335239 0.977109764 -0.038764323
## 639 1.152624 -21.42335239 0.977109764 -0.038764323
## 640 1.152624 -21.42335239 0.977109764 -0.038764323
## 641 1.787811 -23.59884946 9.185063375 4.917566454
## 642 1.787811 -23.59884946 9.185063375 4.917566454
## 643 1.787811 -23.59884946 9.185063375 4.917566454
## 644 1.787811 -23.59884946 9.185063375 4.917566454
## 645 1.787811 -23.59884946 9.185063375 4.917566454
## 646 1.787811 -23.59884946 9.185063375 4.917566454
## 647 1.787811 -23.59884946 9.185063375 4.917566454
## 648 1.787811 -23.59884946 9.185063375 4.917566454
## 649 1.390183 -9.07737729 -0.405499641 3.917626027
## 650 1.390183 -9.07737729 -0.405499641 3.917626027
## 651 1.390183 -9.07737729 -0.405499641 3.917626027
## 652 1.390183 -9.07737729 -0.405499641 3.917626027
## 653 1.390183 -9.07737729 -0.405499641 3.917626027
## 654 1.390183 -9.07737729 -0.405499641 3.917626027
## 655 1.390183 -9.07737729 -0.405499641 3.917626027
## 656 1.390183 -9.07737729 -0.405499641 3.917626027
## 657 1.938337 19.21983714 0.207165212 7.798113032
## 658 1.938337 19.21983714 0.207165212 7.798113032
## 659 1.938337 19.21983714 0.207165212 7.798113032
## 660 1.938337 19.21983714 0.207165212 7.798113032
## 661 1.938337 19.21983714 0.207165212 7.798113032
## 662 1.938337 19.21983714 0.207165212 7.798113032
## 663 1.938337 19.21983714 0.207165212 7.798113032
## 664 1.938337 19.21983714 0.207165212 7.798113032
## 665 1.991763 28.66880997 -6.093574290 5.300195384
## 666 1.991763 28.66880997 -6.093574290 5.300195384
## 667 1.991763 28.66880997 -6.093574290 5.300195384
## 668 1.991763 28.66880997 -6.093574290 5.300195384
## 669 1.991763 28.66880997 -6.093574290 5.300195384
## 670 1.991763 28.66880997 -6.093574290 5.300195384
## 671 1.991763 28.66880997 -6.093574290 5.300195384
## 672 1.991763 28.66880997 -6.093574290 5.300195384
## 673 1.294649 -8.39755583 0.196320097 2.668958212
## 674 1.294649 -8.39755583 0.196320097 2.668958212
## 675 1.294649 -8.39755583 0.196320097 2.668958212
## 676 1.294649 -8.39755583 0.196320097 2.668958212
## 677 1.294649 -8.39755583 0.196320097 2.668958212
## 678 1.294649 -8.39755583 0.196320097 2.668958212
## 679 1.294649 -8.39755583 0.196320097 2.668958212
## 680 1.294649 -8.39755583 0.196320097 2.668958212
## 681 1.904473 18.34772321 -14.021484626 -4.295569551
## 682 1.904473 18.34772321 -14.021484626 -4.295569551
## 683 1.904473 18.34772321 -14.021484626 -4.295569551
## 684 1.904473 18.34772321 -14.021484626 -4.295569551
## 685 1.904473 18.34772321 -14.021484626 -4.295569551
## 686 1.904473 18.34772321 -14.021484626 -4.295569551
## 687 1.904473 18.34772321 -14.021484626 -4.295569551
## 688 1.904473 18.34772321 -14.021484626 -4.295569551
## 689 1.295136 -14.67710233 2.083589902 2.452475544
## 690 1.295136 -14.67710233 2.083589902 2.452475544
## 691 1.295136 -14.67710233 2.083589902 2.452475544
## 692 1.295136 -14.67710233 2.083589902 2.452475544
## 693 1.295136 -14.67710233 2.083589902 2.452475544
## 694 1.295136 -14.67710233 2.083589902 2.452475544
## 695 1.295136 -14.67710233 2.083589902 2.452475544
## 696 1.295136 -14.67710233 2.083589902 2.452475544
## 697 1.887757 15.21827640 -15.439295263 -5.150908169
## 698 1.887757 15.21827640 -15.439295263 -5.150908169
## 699 1.887757 15.21827640 -15.439295263 -5.150908169
## 700 1.887757 15.21827640 -15.439295263 -5.150908169
## 701 1.887757 15.21827640 -15.439295263 -5.150908169
## 702 1.887757 15.21827640 -15.439295263 -5.150908169
## 703 1.887757 15.21827640 -15.439295263 -5.150908169
## 704 1.887757 15.21827640 -15.439295263 -5.150908169
## 705 1.357026 -1.49233382 -0.297149772 4.188016080
## 706 1.357026 -1.49233382 -0.297149772 4.188016080
## 707 1.357026 -1.49233382 -0.297149772 4.188016080
## 708 1.357026 -1.49233382 -0.297149772 4.188016080
## 709 1.357026 -1.49233382 -0.297149772 4.188016080
## 710 1.357026 -1.49233382 -0.297149772 4.188016080
## 711 1.357026 -1.49233382 -0.297149772 4.188016080
## 712 1.357026 -1.49233382 -0.297149772 4.188016080
## 713 1.288358 -8.36421371 3.102592912 2.004379171
## 714 1.288358 -8.36421371 3.102592912 2.004379171
## 715 1.288358 -8.36421371 3.102592912 2.004379171
## 716 1.288358 -8.36421371 3.102592912 2.004379171
## 717 1.288358 -8.36421371 3.102592912 2.004379171
## 718 1.288358 -8.36421371 3.102592912 2.004379171
## 719 1.288358 -8.36421371 3.102592912 2.004379171
## 720 1.288358 -8.36421371 3.102592912 2.004379171
## 721 1.374871 -10.15803990 -0.337619475 2.636949351
## 722 1.374871 -10.15803990 -0.337619475 2.636949351
## 723 1.374871 -10.15803990 -0.337619475 2.636949351
## 724 1.374871 -10.15803990 -0.337619475 2.636949351
## 725 1.374871 -10.15803990 -0.337619475 2.636949351
## 726 1.374871 -10.15803990 -0.337619475 2.636949351
## 727 1.374871 -10.15803990 -0.337619475 2.636949351
## 728 1.374871 -10.15803990 -0.337619475 2.636949351
## 729 1.590829 -24.50665119 2.752036458 1.697735503
## 730 1.590829 -24.50665119 2.752036458 1.697735503
## 731 1.590829 -24.50665119 2.752036458 1.697735503
## 732 1.590829 -24.50665119 2.752036458 1.697735503
## 733 1.590829 -24.50665119 2.752036458 1.697735503
## 734 1.590829 -24.50665119 2.752036458 1.697735503
## 735 1.590829 -24.50665119 2.752036458 1.697735503
## 736 1.590829 -24.50665119 2.752036458 1.697735503
## 737 1.309697 -7.10993446 -0.569619927 -0.721591334
## 738 1.309697 -7.10993446 -0.569619927 -0.721591334
## 739 1.309697 -7.10993446 -0.569619927 -0.721591334
## 740 1.309697 -7.10993446 -0.569619927 -0.721591334
## 741 1.309697 -7.10993446 -0.569619927 -0.721591334
## 742 1.309697 -7.10993446 -0.569619927 -0.721591334
## 743 1.309697 -7.10993446 -0.569619927 -0.721591334
## 744 1.309697 -7.10993446 -0.569619927 -0.721591334
## 745 1.271266 -6.44048923 -2.835388913 -1.102921097
## 746 1.271266 -6.44048923 -2.835388913 -1.102921097
## 747 1.271266 -6.44048923 -2.835388913 -1.102921097
## 748 1.271266 -6.44048923 -2.835388913 -1.102921097
## 749 1.271266 -6.44048923 -2.835388913 -1.102921097
## 750 1.271266 -6.44048923 -2.835388913 -1.102921097
## 751 1.271266 -6.44048923 -2.835388913 -1.102921097
## 752 1.271266 -6.44048923 -2.835388913 -1.102921097
## 753 1.552908 3.06775319 -7.631661271 -1.570730946
## 754 1.552908 3.06775319 -7.631661271 -1.570730946
## 755 1.552908 3.06775319 -7.631661271 -1.570730946
## 756 1.552908 3.06775319 -7.631661271 -1.570730946
## 757 1.552908 3.06775319 -7.631661271 -1.570730946
## 758 1.552908 3.06775319 -7.631661271 -1.570730946
## 759 1.552908 3.06775319 -7.631661271 -1.570730946
## 760 1.552908 3.06775319 -7.631661271 -1.570730946
## 761 1.344939 -12.88829037 2.288208678 4.475685696
## 762 1.344939 -12.88829037 2.288208678 4.475685696
## 763 1.344939 -12.88829037 2.288208678 4.475685696
## 764 1.344939 -12.88829037 2.288208678 4.475685696
## 765 1.344939 -12.88829037 2.288208678 4.475685696
## 766 1.344939 -12.88829037 2.288208678 4.475685696
## 767 1.344939 -12.88829037 2.288208678 4.475685696
## 768 1.344939 -12.88829037 2.288208678 4.475685696
## 769 1.203280 -8.91061214 2.995338753 2.372560562
## 770 1.203280 -8.91061214 2.995338753 2.372560562
## 771 1.203280 -8.91061214 2.995338753 2.372560562
## 772 1.203280 -8.91061214 2.995338753 2.372560562
## 773 1.203280 -8.91061214 2.995338753 2.372560562
## 774 1.203280 -8.91061214 2.995338753 2.372560562
## 775 1.203280 -8.91061214 2.995338753 2.372560562
## 776 1.203280 -8.91061214 2.995338753 2.372560562
## 777 1.420768 2.48830925 -4.573042580 -1.931732096
## 778 1.420768 2.48830925 -4.573042580 -1.931732096
## 779 1.420768 2.48830925 -4.573042580 -1.931732096
## 780 1.420768 2.48830925 -4.573042580 -1.931732096
## 781 1.420768 2.48830925 -4.573042580 -1.931732096
## 782 1.420768 2.48830925 -4.573042580 -1.931732096
## 783 1.420768 2.48830925 -4.573042580 -1.931732096
## 784 1.420768 2.48830925 -4.573042580 -1.931732096
## 785 2.158064 37.04523462 -23.151508243 1.960414356
## 786 2.158064 37.04523462 -23.151508243 1.960414356
## 787 2.158064 37.04523462 -23.151508243 1.960414356
## 788 2.158064 37.04523462 -23.151508243 1.960414356
## 789 2.158064 37.04523462 -23.151508243 1.960414356
## 790 2.158064 37.04523462 -23.151508243 1.960414356
## 791 2.158064 37.04523462 -23.151508243 1.960414356
## 792 2.158064 37.04523462 -23.151508243 1.960414356
## 793 1.401714 -23.01789727 3.797308083 -0.140167220
## 794 1.401714 -23.01789727 3.797308083 -0.140167220
## 795 1.401714 -23.01789727 3.797308083 -0.140167220
## 796 1.401714 -23.01789727 3.797308083 -0.140167220
## 797 1.401714 -23.01789727 3.797308083 -0.140167220
## 798 1.401714 -23.01789727 3.797308083 -0.140167220
## 799 1.401714 -23.01789727 3.797308083 -0.140167220
## PC4_score PC5_score PC6_score PC7_score PC8_score PC9_score
## 1 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 2 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 3 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 4 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 5 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 6 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 7 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 8 -4.9498046 -9.2571322 6.514156526 -2.71612911 -8.52457907 0.3449448
## 9 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 10 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 11 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 12 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 13 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 14 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 15 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 16 -2.2270803 -4.6641014 1.641568644 -5.14209189 -2.93388796 -2.2103684
## 17 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 18 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 19 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 20 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 21 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 22 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 23 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 24 5.6571656 -12.0086721 -5.964542813 -2.50411842 -5.76773905 13.3973770
## 25 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 26 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 27 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 28 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 29 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 30 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 31 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 32 -2.9362568 -7.7905822 -4.176870357 8.75448507 0.33958837 -4.8395663
## 33 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 34 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 35 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 36 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 37 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 38 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 39 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 40 -2.6508819 -4.4783686 -0.028081965 -5.08754874 -4.57041260 -2.8125456
## 41 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 42 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 43 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 44 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 45 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 46 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 47 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 48 3.2935036 0.2356262 -4.348147831 -0.10058477 6.40156569 5.8473256
## 49 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 50 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 51 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 52 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 53 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 54 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 55 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 56 -22.9618378 -19.9836897 -4.660228280 15.87260871 -33.87757501 38.5148421
## 57 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 58 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 59 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 60 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 61 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 62 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 63 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 64 -6.0359022 -8.8849723 9.085455858 -8.22870053 -5.81997882 -9.0599790
## 65 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 66 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 67 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 68 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 69 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 70 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 71 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 72 -2.2931182 -7.0267386 2.016384390 -8.41705516 -6.08969887 -5.1167660
## 73 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 74 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 75 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 76 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 77 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 78 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 79 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 80 5.9892335 -6.9167077 -8.689988334 -3.62988893 -10.72774841 10.3680929
## 81 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 82 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 83 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 84 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 85 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 86 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 87 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 88 11.1602280 -5.7439638 3.586796791 -8.15839289 -2.98668480 0.8179548
## 89 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 90 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 91 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 92 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 93 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 94 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 95 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 96 -7.3689096 -13.8402521 3.604428886 -1.09175451 -1.24737699 17.8872893
## 97 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 98 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 99 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 100 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 101 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 102 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 103 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 104 -10.7828018 -4.0360394 -1.065792716 4.76666879 -1.51681627 0.6927635
## 105 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 106 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 107 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 108 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 109 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 110 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 111 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 112 2.5785152 -4.3319144 1.889528513 -3.59688072 -2.25251051 -6.0702048
## 113 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 114 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 115 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 116 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 117 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 118 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 119 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 120 6.7099155 -30.2347328 11.383234941 -34.11131386 -10.62839909 7.7105788
## 121 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 122 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 123 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 124 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 125 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 126 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 127 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 128 -4.8311229 -5.5805766 -3.400084849 2.65779105 -5.31232608 -9.6349984
## 129 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 130 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 131 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 132 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 133 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 134 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 135 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 136 0.2188383 -5.0047125 -1.229196092 -1.71937873 -3.60136026 -4.4913166
## 137 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 138 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 139 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 140 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 141 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 142 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 143 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 144 48.7674514 -71.2103932 -25.672660660 7.19508682 109.72718844 -40.4682648
## 145 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 146 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 147 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 148 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 149 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 150 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 151 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 152 -9.1291300 -3.4315394 -0.966718982 0.02294075 -5.28332291 6.7074731
## 153 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 154 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 155 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 156 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 157 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 158 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 159 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 160 -50.7156419 -39.0143516 73.690147280 50.96590009 41.44596849 40.9520121
## 161 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 162 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 163 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 164 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 165 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 166 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 167 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 168 -3.3112370 -5.3391870 -2.723013120 -0.15146528 3.58117932 -5.6215446
## 169 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 170 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 171 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 172 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 173 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 174 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 175 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 176 -6.0899104 -2.8662738 -0.237633926 -0.80593549 -2.34165077 -2.3575134
## 177 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 178 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 179 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 180 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 181 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 182 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 183 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 184 -8.9062458 -2.5554544 1.617826006 -3.07295238 -1.29918986 -7.3355734
## 185 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 186 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 187 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 188 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 189 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 190 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 191 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 192 -18.8004541 -42.1284419 -60.997176066 78.39520436 -25.19334628 11.6956700
## 193 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 194 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 195 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 196 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 197 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 198 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 199 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 200 -6.5553378 -0.7049108 6.780615686 -9.44473261 -3.32134731 -6.5185815
## 201 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 202 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 203 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 204 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 205 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 206 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 207 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 208 -9.7506520 -5.8358536 -7.477074643 6.66470387 -13.11947301 13.3465608
## 209 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 210 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 211 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 212 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 213 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 214 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 215 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 216 22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240 32.5509328
## 217 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 218 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 219 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 220 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 221 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 222 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 223 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 224 31.5788072 13.2746996 4.012338749 -2.72522057 2.31995452 -1.1720823
## 225 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 226 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 227 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 228 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 229 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 230 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 231 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 232 1.3022949 -2.7582135 1.017982602 -1.28696034 -2.14052600 -1.9165235
## 233 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 234 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 235 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 236 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 237 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 238 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 239 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 240 -12.7511870 -7.7275663 10.957142213 -7.63281055 9.56040017 -6.3033159
## 241 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 242 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 243 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 244 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 245 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 246 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 247 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 248 -10.8138422 7.1809428 -3.330933479 1.31472114 -3.17603241 10.9867450
## 249 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 250 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 251 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 252 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 253 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 254 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 255 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 256 0.8540224 -2.7452051 0.843397180 -0.97014158 -4.89399776 -2.6261450
## 257 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 258 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 259 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 260 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 261 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 262 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 263 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 264 -2.0809482 -0.5450317 -1.825293128 -0.94620473 -0.37329023 -5.0034715
## 265 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 266 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 267 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 268 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 269 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 270 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 271 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 272 -10.4912192 2.7011566 2.040463586 -5.05251038 -5.57485603 -2.7882017
## 273 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 274 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 275 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 276 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 277 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 278 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 279 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 280 -9.9351769 -5.7408957 2.301536234 -1.99858642 -10.72471513 4.4752474
## 281 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 282 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 283 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 284 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 285 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 286 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 287 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 288 -3.5310714 -4.0920712 3.077991411 7.79551568 0.66642553 6.1276500
## 289 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 290 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 291 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 292 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 293 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 294 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 295 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 296 -17.7307175 -2.1155001 2.575978091 0.32621856 -1.53258299 -4.2851386
## 297 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 298 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 299 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 300 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 301 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 302 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 303 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 304 -9.4693325 -1.2866034 4.987782836 0.47161884 -0.05578731 -1.2187710
## 305 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 306 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 307 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 308 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 309 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 310 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 311 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 312 -2.4805544 -3.1125632 -3.125611815 0.44425193 -0.72543734 -5.1202501
## 313 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 314 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 315 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 316 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 317 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 318 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 319 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 320 -22.6528809 4.2564780 -6.638129709 7.10994721 -5.66527042 3.9079328
## 321 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 322 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 323 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 324 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 325 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 326 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 327 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 328 -17.6166605 3.0947172 2.990125363 10.07209426 -2.51438950 -0.3054436
## 329 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 330 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 331 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 332 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 333 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 334 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 335 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 336 -3.5888107 -0.2568518 -0.374187509 3.86304219 1.45598940 -3.1248004
## 337 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 338 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 339 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 340 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 341 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 342 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 343 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 344 -16.1077152 7.2518885 6.840343243 -4.37098625 3.18445394 -7.8781088
## 345 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 346 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 347 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 348 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 349 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 350 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 351 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 352 -5.3252042 4.1206868 -7.047878332 0.06207519 -3.77593472 1.5129282
## 353 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 354 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 355 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 356 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 357 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 358 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 359 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 360 6.9427339 -3.5301723 2.828460260 -3.91997909 2.40907847 0.6185806
## 361 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 362 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 363 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 364 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 365 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 366 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 367 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 368 25.5601024 4.0360898 -21.196267883 3.14334305 -36.22738805 24.3278383
## 369 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 370 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 371 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 372 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 373 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 374 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 375 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 376 -10.4988266 6.2481958 1.384684515 0.05032022 -0.89797857 0.1288926
## 377 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 378 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 379 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 380 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 381 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 382 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 383 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 384 6.4900280 0.6092214 -1.333258811 -2.46225004 0.91359878 -0.5557073
## 385 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 386 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 387 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 388 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 389 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 390 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 391 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 392 -2.5587751 0.2399700 6.743079104 -0.89303678 1.43036707 -4.5930205
## 393 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 394 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 395 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 396 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 397 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 398 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 399 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 400 1.5234723 -0.4244809 1.794455106 -6.67846467 -3.61018124 -3.8288977
## 401 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 402 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 403 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 404 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 405 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 406 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 407 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 408 -10.7211711 6.2297243 2.449693634 4.46630164 -2.18857959 5.1332164
## 409 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 410 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 411 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 412 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 413 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 414 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 415 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 416 -13.6765051 5.4920039 -6.205045540 1.01199408 -5.13557574 2.4134377
## 417 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 418 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 419 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 420 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 421 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 422 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 423 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 424 2.7779893 -2.6379333 -2.216440151 -1.55728415 -2.77011723 -5.9821001
## 425 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 426 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 427 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 428 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 429 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 430 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 431 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 432 13.3197997 -6.5772625 -6.227674000 -13.53205249 -5.22871325 -3.6994853
## 433 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 434 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 435 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 436 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 437 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 438 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 439 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 440 -5.9167633 0.5319983 -0.108545305 -0.07887528 0.65993252 -11.2252769
## 441 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 442 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 443 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 444 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 445 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 446 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 447 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 448 35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156 24.5290924
## 449 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 450 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 451 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 452 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 453 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 454 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 455 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 456 5.9902323 -1.6281680 -0.741372719 -7.38541239 -2.37476356 -2.3426788
## 457 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 458 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 459 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 460 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 461 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 462 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 463 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 464 1.2257111 -4.8840153 -1.051109977 -2.63448996 -5.71655511 -2.2162717
## 465 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 466 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 467 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 468 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 469 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 470 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 471 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 472 0.9206588 -1.6892147 0.605981697 2.85971193 -0.17807382 -7.2061781
## 473 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 474 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 475 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 476 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 477 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 478 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 479 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 480 32.6412380 -18.7472931 -1.463278937 -10.38620336 -11.01403709 17.4918076
## 481 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 482 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 483 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 484 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 485 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 486 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 487 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 488 -31.1825858 8.0316422 12.100712180 -13.30394620 11.75068048 -46.4985397
## 489 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 490 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 491 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 492 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 493 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 494 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 495 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 496 18.0522692 -0.7264733 9.976428405 -15.97739447 1.90670788 22.8443449
## 497 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 498 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 499 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 500 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 501 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 502 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 503 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 504 -5.1830832 3.4144561 6.067936580 -4.81365366 -0.91892301 -8.4231521
## 505 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 506 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 507 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 508 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 509 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 510 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 511 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 512 0.4296124 -10.3096175 -25.905405133 30.17712273 -0.98357903 11.9074112
## 513 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 514 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 515 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 516 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 517 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 518 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 519 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 520 5.3914977 -1.3915600 3.124608178 -2.79306805 4.21174276 3.5302632
## 521 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 522 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 523 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 524 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 525 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 526 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 527 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 528 3.6029670 4.3861171 -0.047335144 -6.00291431 -3.20425174 -4.3457924
## 529 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 530 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 531 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 532 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 533 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 534 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 535 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 536 -22.1320438 12.4950943 8.655460929 -4.34738187 9.21287512 6.5198917
## 537 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 538 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 539 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 540 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 541 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 542 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 543 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 544 3.1721855 -4.2650666 1.579327731 -5.70931731 -2.13109140 -4.3852645
## 545 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 546 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 547 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 548 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 549 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 550 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 551 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 552 -3.8828436 4.4804616 2.125165495 -5.32209970 -2.13695440 -4.6102630
## 553 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 554 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 555 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 556 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 557 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 558 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 559 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 560 -4.5916815 -6.2629558 -9.886306269 1.11914251 2.91123468 -7.9900679
## 561 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 562 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 563 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 564 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 565 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 566 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 567 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 568 -7.6591744 2.8976040 4.548777022 0.67891957 0.99261810 -3.4303221
## 569 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 570 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 571 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 572 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 573 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 574 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 575 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 576 -0.9606179 -3.4773995 -0.529787721 -0.65529566 -1.30411430 -0.5145210
## 577 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 578 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 579 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 580 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 581 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 582 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 583 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 584 -3.9579636 2.3249914 3.630449764 -6.33286665 -2.22692010 -12.6296070
## 585 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 586 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 587 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 588 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 589 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 590 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 591 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 592 -2.9272293 15.7502622 -32.725786611 13.59550249 54.10378824 48.5874224
## 593 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 594 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 595 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 596 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 597 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 598 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 599 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 600 7.9126831 3.6919532 0.817875845 46.43795425 2.92952804 -3.8171843
## 601 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 602 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 603 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 604 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 605 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 606 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 607 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 608 -1.1551737 4.3934400 4.661343520 -5.40791757 -0.06872482 -4.6487478
## 609 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 610 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 611 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 612 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 613 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 614 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 615 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 616 -3.3054555 1.8144455 2.249750174 -3.04292673 0.82272242 -6.9656035
## 617 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 618 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 619 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 620 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 621 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 622 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 623 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 624 -1.6579784 5.3981623 2.031039778 -3.36925776 2.06916724 -8.1985300
## 625 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 626 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 627 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 628 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 629 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 630 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 631 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 632 -12.0946888 8.4009465 3.867613981 -3.41278933 2.02046802 -6.2696807
## 633 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 634 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 635 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 636 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 637 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 638 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 639 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 640 6.0868619 1.1335713 0.285106218 -3.36011919 2.82630347 0.6643230
## 641 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 642 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 643 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 644 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 645 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 646 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 647 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 648 1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462 -8.6285523
## 649 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 650 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 651 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 652 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 653 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 654 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 655 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 656 2.7902411 -1.8955170 5.161055283 -0.43799723 4.42082255 -3.3884114
## 657 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 658 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 659 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 660 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 661 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 662 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 663 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 664 -18.9806393 11.4996974 1.765704230 -1.84609438 -0.07225226 -15.4227486
## 665 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 666 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 667 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 668 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 669 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 670 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 671 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 672 -28.6836680 15.9945940 10.404376712 8.69799736 9.14702866 -13.1901928
## 673 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 674 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 675 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 676 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 677 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 678 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 679 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 680 2.6435503 1.3970520 3.945467537 -4.25132188 -1.11941374 -6.0819152
## 681 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 682 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 683 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 684 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 685 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 686 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 687 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 688 5.2885183 13.9234345 -3.393225367 -18.26528348 4.61821934 5.6137473
## 689 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 690 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 691 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 692 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 693 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 694 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 695 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 696 3.6307002 4.0321132 -0.153079338 -3.21636954 -1.32145476 -2.1917578
## 697 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 698 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 699 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 700 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 701 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 702 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 703 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 704 11.8434037 20.4960945 0.036361259 -11.33437641 -4.61750638 -3.6655100
## 705 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 706 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 707 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 708 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 709 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 710 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 711 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 712 -3.1013884 5.7009017 4.089325276 -4.71632574 -3.27060257 -2.9378313
## 713 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 714 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 715 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 716 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 717 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 718 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 719 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 720 -1.7513763 4.6945058 -0.005366288 0.45656899 -1.17572127 -4.9570914
## 721 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 722 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 723 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 724 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 725 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 726 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 727 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 728 3.2867341 3.6309358 2.244643153 -4.55718337 2.34797692 -3.3807399
## 729 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 730 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 731 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 732 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 733 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 734 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 735 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 736 15.1288522 40.0354047 31.814965988 -31.40943322 45.01852618 88.0161488
## 737 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 738 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 739 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 740 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 741 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 742 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 743 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 744 2.7731089 6.7730799 7.320523970 -3.97569690 -3.10312249 -8.7689226
## 745 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 746 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 747 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 748 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 749 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 750 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 751 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 752 6.5270584 1.6718763 2.833225501 -6.46009742 -4.58182201 -4.4737969
## 753 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 754 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 755 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 756 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 757 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 758 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 759 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 760 7.2061410 8.0844587 7.598767107 -3.93215655 -3.83382015 -3.0917081
## 761 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 762 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 763 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 764 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 765 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 766 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 767 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 768 -0.5253520 4.7275025 0.162597824 0.56941065 2.60008790 -3.0996245
## 769 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 770 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 771 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 772 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 773 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 774 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 775 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 776 0.4411604 -1.1575943 4.219311596 0.74883721 -1.05709005 -6.2399756
## 777 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 778 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 779 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 780 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 781 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 782 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 783 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 784 -0.4110749 8.9265643 4.839499330 -12.32706646 0.42461165 -3.5641926
## 785 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 786 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 787 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 788 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 789 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 790 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 791 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 792 -4.6877522 97.8659352 -69.366320341 32.67969652 35.53356036 -5.0897652
## 793 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 794 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 795 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 796 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 797 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 798 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## 799 7.8203714 2.4069927 -2.689287179 -2.33440422 -0.69417875 -2.5841980
## PC10_score PC11_score PC12_score PC13_score PC14_score
## 1 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 2 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 3 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 4 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 5 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 6 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 7 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 8 0.25607555 1.99359108 -6.79021640 2.9336388 3.0682764
## 9 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 10 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 11 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 12 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 13 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 14 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 15 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 16 0.62232470 1.81574300 -4.06082517 5.3816304 0.5108574
## 17 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 18 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 19 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 20 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 21 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 22 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 23 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 24 -1.01721774 5.53509129 -15.36669117 1.9043513 -10.3843723
## 25 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 26 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 27 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 28 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 29 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 30 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 31 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 32 4.69592175 -3.63793793 -1.10109540 3.4017666 -3.4959815
## 33 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 34 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 35 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 36 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 37 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 38 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 39 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 40 1.17398564 2.24522934 -10.20561860 4.5613965 -3.5976003
## 41 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 42 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 43 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 44 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 45 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 46 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 47 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 48 -3.32527253 5.45834331 -3.23695277 -2.0254639 -2.6004752
## 49 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 50 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 51 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 52 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 53 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 54 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 55 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 56 18.46584278 28.46090461 -28.80219131 -14.9646132 -35.8307222
## 57 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 58 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 59 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 60 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 61 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 62 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 63 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 64 -0.21408814 4.98043238 -0.62284897 0.7184559 4.5676847
## 65 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 66 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 67 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 68 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 69 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 70 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 71 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 72 -0.09007615 4.11468363 -6.81126071 9.2187052 -5.2076366
## 73 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 74 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 75 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 76 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 77 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 78 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 79 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 80 3.88027716 10.67101001 -5.17750832 -1.1154075 -7.0863522
## 81 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 82 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 83 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 84 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 85 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 86 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 87 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 88 -1.15801207 1.30297691 0.63205931 1.2018440 2.0553760
## 89 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 90 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 91 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 92 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 93 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 94 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 95 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 96 -1.88177136 6.50862475 -10.48843857 -0.7453912 -6.6132322
## 97 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 98 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 99 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 100 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 101 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 102 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 103 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 104 1.30182036 2.96082218 3.39338829 -5.0151281 0.5709071
## 105 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 106 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 107 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 108 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 109 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 110 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 111 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 112 -1.64831047 2.50449318 -3.64428729 0.2585125 1.2805164
## 113 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 114 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 115 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 116 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 117 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 118 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 119 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 120 20.12916763 -39.53318119 -18.41009389 56.6859638 0.7214889
## 121 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 122 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 123 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 124 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 125 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 126 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 127 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 128 3.21745723 -2.13602506 0.38585035 1.0290599 -4.8065773
## 129 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 130 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 131 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 132 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 133 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 134 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 135 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 136 4.00999068 4.56578414 -7.06970288 3.2025530 -0.6856724
## 137 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 138 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 139 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 140 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 141 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 142 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 143 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 144 29.39858710 10.56255056 -4.02044802 -5.8658324 -24.0401294
## 145 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 146 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 147 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 148 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 149 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 150 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 151 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 152 4.48722195 13.75870302 -9.76756713 0.9644440 -1.4856773
## 153 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 154 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 155 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 156 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 157 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 158 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 159 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 160 -23.40031373 -51.89107956 -23.03271808 23.3806869 26.1655956
## 161 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 162 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 163 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 164 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 165 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 166 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 167 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 168 -6.10683736 1.15465137 -1.18443342 -1.2059756 -2.3635903
## 169 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 170 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 171 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 172 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 173 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 174 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 175 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 176 0.48576317 4.47292952 -1.96302221 3.3161544 -0.2324671
## 177 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 178 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 179 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 180 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 181 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 182 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 183 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 184 -3.22328428 0.03096925 4.98484238 2.8134686 3.0623233
## 185 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 186 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 187 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 188 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 189 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 190 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 191 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 192 68.28910294 6.19007003 59.49770542 21.0126385 17.6320774
## 193 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 194 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 195 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 196 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 197 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 198 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 199 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 200 3.88612989 7.05670927 4.46728632 -5.8608284 -0.4885114
## 201 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 202 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 203 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 204 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 205 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 206 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 207 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 208 1.67184059 18.60790754 -12.89336338 -4.1305253 -17.4174450
## 209 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 210 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 211 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 212 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 213 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 214 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 215 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 216 -21.08050484 -4.49355477 3.11316717 -46.1349745 -31.7695227
## 217 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 218 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 219 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 220 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 221 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 222 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 223 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 224 -0.27480658 -1.03735837 -8.88906743 -1.8237798 6.7775470
## 225 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 226 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 227 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 228 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 229 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 230 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 231 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 232 0.74902753 1.39118340 -3.04128483 2.8042877 -0.8146427
## 233 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 234 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 235 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 236 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 237 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 238 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 239 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 240 6.83606016 14.16345570 -7.35645981 5.3941415 17.7535756
## 241 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 242 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 243 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 244 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 245 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 246 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 247 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 248 0.47170767 10.37646832 -3.31481371 2.1227933 -0.9557318
## 249 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 250 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 251 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 252 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 253 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 254 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 255 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 256 1.53324048 4.85260405 -7.62915496 5.0282463 4.5414801
## 257 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 258 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 259 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 260 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 261 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 262 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 263 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 264 -0.12417711 3.47631104 -0.56578272 3.7743963 1.6153250
## 265 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 266 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 267 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 268 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 269 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 270 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 271 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 272 3.10176983 4.71704864 -0.76675546 -0.3230053 10.2545536
## 273 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 274 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 275 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 276 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 277 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 278 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 279 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 280 -3.23195124 3.40276703 -2.33856668 9.9590852 0.7646596
## 281 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 282 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 283 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 284 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 285 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 286 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 287 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 288 -5.01835053 9.11063612 -3.84954114 -5.6572278 -3.4403619
## 289 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 290 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 291 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 292 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 293 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 294 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 295 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 296 -2.35525536 -5.30759535 9.98135264 -0.4208883 4.7938185
## 297 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 298 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 299 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 300 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 301 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 302 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 303 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 304 -2.56723315 4.35949516 4.07999740 1.9744292 -1.5192169
## 305 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 306 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 307 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 308 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 309 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 310 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 311 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 312 0.48241746 1.44775403 -1.71029627 3.2218366 -3.7617869
## 313 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 314 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 315 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 316 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 317 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 318 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 319 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 320 1.22115518 8.09219627 -3.29024988 -3.1343077 -1.5632387
## 321 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 322 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 323 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 324 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 325 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 326 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 327 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 328 -9.47843599 -0.13578741 6.69035572 -2.7301326 -0.1923550
## 329 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 330 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 331 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 332 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 333 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 334 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 335 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 336 -7.03323632 3.57134768 1.28519185 -0.7323753 3.8255830
## 337 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 338 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 339 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 340 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 341 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 342 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 343 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 344 6.00418623 9.64057726 1.79601735 -1.2715301 13.9744456
## 345 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 346 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 347 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 348 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 349 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 350 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 351 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 352 -3.51367130 7.17852904 -8.86116459 8.5159673 -4.5948242
## 353 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 354 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 355 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 356 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 357 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 358 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 359 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 360 -4.96112220 0.61228971 -0.09506452 -8.7992095 7.8730939
## 361 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 362 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 363 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 364 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 365 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 366 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 367 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 368 -11.33338847 -3.20660887 25.59048360 15.2627978 -35.9681642
## 369 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 370 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 371 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 372 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 373 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 374 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 375 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 376 2.08711064 3.68747977 -0.73469163 4.1510993 1.9111433
## 377 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 378 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 379 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 380 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 381 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 382 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 383 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 384 0.83640822 1.47945254 -7.85255551 -7.8194288 -1.2509211
## 385 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 386 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 387 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 388 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 389 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 390 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 391 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 392 -1.80335082 -1.86844921 2.66324504 -0.9287605 -1.5687631
## 393 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 394 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 395 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 396 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 397 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 398 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 399 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 400 -1.91515295 2.14242456 -1.26830344 -1.0768175 3.5708883
## 401 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 402 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 403 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 404 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 405 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 406 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 407 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 408 0.97457848 7.80796455 -0.08707809 7.0457446 -4.3153672
## 409 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 410 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 411 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 412 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 413 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 414 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 415 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 416 1.13362144 13.96846553 -1.76618751 -2.8050185 -1.2737099
## 417 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 418 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 419 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 420 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 421 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 422 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 423 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 424 1.65445240 3.44446579 1.49545134 0.7781333 1.8188344
## 425 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 426 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 427 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 428 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 429 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 430 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 431 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 432 1.59730180 8.44589915 -6.82612541 5.1802253 8.2968256
## 433 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 434 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 435 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 436 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 437 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 438 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 439 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 440 -1.49064110 -1.79839122 6.35992798 -7.1906889 0.4949161
## 441 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 442 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 443 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 444 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 445 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 446 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 447 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 448 -32.56852240 -60.62992745 24.44703196 17.5696067 87.1349826
## 449 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 450 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 451 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 452 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 453 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 454 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 455 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 456 -1.09807623 3.26250583 -0.66815554 4.1381621 1.3454347
## 457 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 458 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 459 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 460 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 461 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 462 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 463 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 464 -3.12670361 -7.61670157 1.50491453 -2.9841677 -8.4804046
## 465 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 466 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 467 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 468 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 469 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 470 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 471 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 472 -4.55102552 -3.11049116 0.52286971 -3.2906791 2.3496422
## 473 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 474 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 475 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 476 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 477 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 478 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 479 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 480 -22.45487543 -5.28228624 24.48500302 -24.7967727 -8.1086252
## 481 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 482 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 483 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 484 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 485 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 486 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 487 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 488 -24.86961718 -39.48328584 88.98094045 -42.5935206 -27.9779916
## 489 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 490 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 491 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 492 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 493 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 494 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 495 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 496 10.96777015 3.30325212 -16.28733244 -29.8757999 27.1936876
## 497 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 498 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 499 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 500 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 501 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 502 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 503 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 504 -2.49427741 -1.03112338 -0.35707337 2.1856769 2.9203196
## 505 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 506 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 507 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 508 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 509 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 510 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 511 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 512 -12.01528272 -32.16471831 -25.60165572 -57.3254286 -6.0725074
## 513 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 514 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 515 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 516 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 517 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 518 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 519 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 520 -3.29584031 3.59628250 -5.48752519 1.1857609 0.8380826
## 521 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 522 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 523 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 524 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 525 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 526 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 527 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 528 -2.74764196 2.83316093 -8.69060499 10.5454300 -2.7598201
## 529 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 530 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 531 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 532 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 533 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 534 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 535 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 536 -3.66821962 7.92822453 23.30367470 -7.7074313 -4.1684675
## 537 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 538 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 539 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 540 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 541 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 542 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 543 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 544 -2.41877123 -4.70758794 -6.28040934 7.0236055 6.8477308
## 545 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 546 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 547 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 548 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 549 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 550 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 551 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 552 -0.05903760 4.28927406 4.42424136 -0.6409135 5.0163324
## 553 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 554 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 555 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 556 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 557 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 558 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 559 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 560 -4.25383550 -3.73561633 10.39071287 3.1735831 -6.0835651
## 561 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 562 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 563 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 564 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 565 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 566 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 567 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 568 -0.91315807 1.17430687 7.09293119 3.4081299 -1.5205421
## 569 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 570 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 571 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 572 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 573 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 574 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 575 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 576 2.53626679 -1.07521579 -0.82362278 1.1447061 -0.9789115
## 577 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 578 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 579 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 580 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 581 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 582 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 583 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 584 -0.97666411 -3.79303982 1.38858282 -0.8679528 1.6183021
## 585 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 586 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 587 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 588 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 589 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 590 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 591 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 592 -94.12521221 46.67509785 29.18039077 48.3893856 -16.2344203
## 593 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 594 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 595 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 596 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 597 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 598 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 599 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 600 -26.39750470 -12.39722717 -28.61692397 -76.6074579 31.7431572
## 601 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 602 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 603 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 604 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 605 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 606 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 607 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 608 -2.07555319 1.48186695 5.03096201 -2.5157935 3.4964704
## 609 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 610 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 611 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 612 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 613 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 614 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 615 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 616 -2.02731009 -1.46395898 2.96831242 -0.4025069 0.6151626
## 617 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 618 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 619 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 620 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 621 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 622 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 623 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 624 -5.40665910 1.98751564 -0.87871271 0.3492158 -1.7974726
## 625 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 626 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 627 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 628 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 629 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 630 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 631 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 632 5.20982911 5.48296577 4.84530864 -3.5664175 9.5766167
## 633 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 634 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 635 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 636 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 637 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 638 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 639 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 640 -1.57640051 9.26598163 -6.93161164 -5.7462850 1.7314377
## 641 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 642 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 643 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 644 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 645 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 646 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 647 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 648 -8.38397460 -81.18532196 -24.68157418 22.9912006 -81.6897978
## 649 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 650 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 651 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 652 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 653 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 654 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 655 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 656 1.40739791 0.03823210 -4.41033466 -1.1887358 3.1761868
## 657 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 658 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 659 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 660 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 661 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 662 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 663 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 664 -0.14967858 -0.83933964 4.92916560 -0.3468940 4.0522034
## 665 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 666 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 667 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 668 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 669 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 670 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 671 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 672 6.26981658 -5.76224848 5.82449170 11.5839760 2.9889330
## 673 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 674 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 675 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 676 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 677 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 678 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 679 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 680 -0.88316612 0.69791583 -2.12678999 -0.8043802 4.1016762
## 681 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 682 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 683 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 684 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 685 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 686 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 687 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 688 15.32657422 6.32856399 4.46163554 -12.4909610 19.1386568
## 689 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 690 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 691 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 692 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 693 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 694 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 695 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 696 0.55916177 2.13165804 0.55933230 4.9616714 -1.0207834
## 697 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 698 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 699 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 700 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 701 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 702 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 703 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 704 0.24644219 7.74889082 9.94240071 0.8947181 9.7300937
## 705 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 706 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 707 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 708 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 709 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 710 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 711 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 712 0.28343337 3.28065815 2.75818357 1.7377164 -1.6723319
## 713 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 714 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 715 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 716 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 717 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 718 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 719 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 720 -1.96944607 2.67295848 1.53484042 -2.6188556 -3.4938850
## 721 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 722 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 723 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 724 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 725 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 726 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 727 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 728 -2.71875954 0.17003288 -1.72615176 2.2567798 0.8288396
## 729 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 730 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 731 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 732 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 733 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 734 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 735 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 736 71.93555159 -25.03575258 42.23658287 -17.6887838 -11.6345322
## 737 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 738 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 739 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 740 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 741 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 742 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 743 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 744 0.14314679 3.97345527 -1.31170689 4.3745107 -1.0427829
## 745 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 746 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 747 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 748 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 749 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 750 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 751 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 752 -2.59240363 4.42836244 -4.99386246 0.7027412 3.5497652
## 753 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 754 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 755 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 756 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 757 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 758 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 759 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 760 3.86499026 4.77181810 4.41301661 3.5677509 4.2858441
## 761 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 762 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 763 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 764 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 765 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 766 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 767 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 768 1.00666792 -0.70552828 -4.38907241 7.5831544 4.0190066
## 769 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 770 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 771 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 772 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 773 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 774 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 775 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 776 4.50456259 1.59490291 -0.85040258 3.8867627 1.1132676
## 777 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 778 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 779 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 780 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 781 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 782 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 783 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 784 5.40619524 -1.84142322 2.38836694 -2.1919692 0.5317716
## 785 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 786 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 787 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 788 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 789 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 790 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 791 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 792 15.94571565 -41.43228202 -43.58785047 11.3702772 -2.5960089
## 793 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 794 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 795 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 796 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 797 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 798 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## 799 5.99901747 10.10647367 -4.79788877 -2.2209432 4.0225716
## PC15_score PC16_score PC17_score PC18_score PC19_score
## 1 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 2 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 3 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 4 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 5 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 6 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 7 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 8 -8.683131511 6.0594266 -5.739264310 0.92329509 1.34812219
## 9 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 10 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 11 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 12 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 13 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 14 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 15 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 16 -7.102697855 1.8178725 -1.682274858 6.03795094 0.65457065
## 17 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 18 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 19 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 20 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 21 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 22 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 23 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 24 -21.187782363 5.0945561 -3.961437616 -8.33551606 -2.67272085
## 25 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 26 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 27 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 28 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 29 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 30 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 31 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 32 -6.953384505 0.5190191 -3.178335654 2.05684663 10.09032899
## 33 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 34 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 35 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 36 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 37 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 38 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 39 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 40 -7.591401306 -2.0061886 5.528430244 4.91617421 6.79489429
## 41 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 42 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 43 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 44 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 45 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 46 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 47 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 48 3.075362100 -0.1906902 -0.607335423 -0.68430211 -1.28613829
## 49 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 50 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 51 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 52 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 53 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 54 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 55 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 56 -1.991135429 58.2556693 -13.920344057 -7.82974451 64.99177455
## 57 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 58 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 59 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 60 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 61 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 62 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 63 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 64 -0.342368218 8.4904043 -7.066325327 4.65649591 10.47011422
## 65 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 66 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 67 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 68 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 69 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 70 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 71 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 72 -6.102123992 0.2883314 -7.085885212 13.57210198 11.15939837
## 73 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 74 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 75 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 76 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 77 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 78 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 79 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 80 -2.065582446 7.9805497 1.564414428 -1.64596077 7.03812394
## 81 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 82 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 83 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 84 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 85 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 86 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 87 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 88 -2.692231964 -5.8141726 0.990224005 -0.03475451 -0.65876314
## 89 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 90 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 91 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 92 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 93 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 94 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 95 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 96 -14.818203622 7.8600622 -3.947707669 -23.86550968 -15.52641718
## 97 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 98 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 99 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 100 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 101 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 102 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 103 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 104 -8.845312638 4.2009047 0.765930697 -0.99728051 1.02540601
## 105 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 106 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 107 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 108 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 109 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 110 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 111 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 112 -4.402616739 -1.7091317 -0.402666942 1.99137424 1.16643081
## 113 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 114 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 115 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 116 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 117 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 118 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 119 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 120 -35.263603644 -14.2869997 -40.247801329 92.72742546 21.41491483
## 121 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 122 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 123 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 124 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 125 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 126 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 127 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 128 -16.747751498 3.9869744 2.718542997 1.28972658 1.30661023
## 129 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 130 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 131 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 132 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 133 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 134 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 135 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 136 0.557299139 -4.9606894 6.082953152 -2.83276087 3.20763696
## 137 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 138 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 139 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 140 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 141 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 142 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 143 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 144 15.804450397 11.8429089 12.442606380 6.35073389 9.38502046
## 145 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 146 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 147 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 148 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 149 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 150 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 151 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 152 0.025781341 6.4070204 0.944349773 -0.67831933 5.53256984
## 153 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 154 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 155 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 156 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 157 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 158 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 159 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 160 21.725205984 -39.5093376 -17.420304997 -22.63926866 -0.91130024
## 161 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 162 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 163 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 164 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 165 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 166 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 167 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 168 0.179831602 4.7620407 -6.083118080 -0.63304806 -4.98048813
## 169 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 170 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 171 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 172 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 173 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 174 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 175 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 176 -0.640800959 1.0497998 0.598182829 0.40497895 -0.60423171
## 177 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 178 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 179 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 180 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 181 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 182 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 183 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 184 -0.959487479 1.5539774 0.158476803 1.61215774 -1.15133063
## 185 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 186 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 187 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 188 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 189 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 190 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 191 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 192 -20.874654771 -18.5984892 -1.367410296 -9.14777785 -5.26320816
## 193 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 194 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 195 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 196 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 197 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 198 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 199 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 200 -3.573218887 13.3374624 -2.514072155 -2.28358186 2.63046255
## 201 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 202 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 203 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 204 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 205 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 206 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 207 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 208 -4.025477474 -7.1813979 9.482739113 9.77025076 -3.75567824
## 209 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 210 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 211 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 212 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 213 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 214 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 215 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 216 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 217 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 218 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 219 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 220 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 221 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 222 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 223 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 224 -1.263593243 -2.5513557 -1.135122729 -4.20855574 -2.55008842
## 225 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 226 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 227 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 228 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 229 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 230 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 231 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 232 -1.337707277 1.1814466 1.945441041 -1.88665462 -0.65660242
## 233 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 234 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 235 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 236 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 237 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 238 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 239 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 240 -9.182247760 17.2691158 -6.441941173 6.97971495 4.00650594
## 241 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 242 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 243 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 244 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 245 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 246 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 247 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 248 1.939184281 3.2067444 0.008434115 1.73419182 -5.59072446
## 249 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 250 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 251 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 252 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 253 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 254 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 255 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 256 -2.177186465 -1.4047966 1.103811460 1.91856369 0.76892552
## 257 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 258 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 259 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 260 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 261 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 262 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 263 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 264 -0.007725136 4.3359432 -1.183235099 3.05919411 -5.40128716
## 265 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 266 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 267 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 268 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 269 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 270 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 271 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 272 0.108430698 7.3591240 5.404908524 -9.14913337 1.22553767
## 273 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 274 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 275 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 276 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 277 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 278 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 279 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 280 -8.918713830 1.2319355 -1.635364472 4.41142898 -9.92570756
## 281 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 282 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 283 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 284 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 285 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 286 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 287 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 288 -11.065028202 0.7501683 -2.440591940 -2.90653312 -10.69889402
## 289 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 290 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 291 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 292 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 293 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 294 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 295 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 296 -2.773153974 7.5919202 0.792106095 1.71711134 -1.86515827
## 297 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 298 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 299 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 300 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 301 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 302 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 303 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 304 -2.815437605 0.7419562 -0.155625579 -1.78220514 -0.73949533
## 305 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 306 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 307 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 308 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 309 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 310 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 311 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 312 3.285555907 -1.6393420 2.059167220 -0.72769380 -0.41513251
## 313 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 314 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 315 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 316 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 317 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 318 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 319 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 320 13.811545840 4.1846352 4.484158575 5.25682012 -12.58498585
## 321 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 322 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 323 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 324 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 325 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 326 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 327 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 328 -2.831114354 0.9093413 4.027053736 -5.57362586 4.45735718
## 329 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 330 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 331 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 332 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 333 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 334 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 335 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 336 -5.426479421 -1.9207644 -2.713885035 0.12895495 2.20402492
## 337 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 338 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 339 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 340 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 341 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 342 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 343 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 344 4.438316693 13.5348172 2.796681162 0.70117730 5.51733069
## 345 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 346 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 347 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 348 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 349 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 350 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 351 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 352 15.154030049 -0.7454380 6.825119492 21.37325744 -6.04262723
## 353 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 354 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 355 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 356 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 357 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 358 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 359 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 360 -4.140499130 -6.6834622 -0.376530152 1.83949272 -0.31567149
## 361 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 362 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 363 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 364 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 365 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 366 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 367 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 368 102.083908795 -45.5206098 11.237132483 27.97232746 31.31357831
## 369 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 370 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 371 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 372 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 373 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 374 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 375 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 376 4.207385419 0.8239616 -3.527396669 -2.24611618 2.83125377
## 377 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 378 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 379 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 380 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 381 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 382 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 383 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 384 8.982436297 2.4261799 1.999860832 -1.42307646 -8.34657135
## 385 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 386 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 387 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 388 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 389 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 390 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 391 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 392 -3.741254583 -0.3212417 -1.650034098 0.68887915 -3.08870551
## 393 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 394 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 395 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 396 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 397 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 398 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 399 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 400 -0.767306877 -1.2091938 0.322829456 0.55655244 -1.52761263
## 401 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 402 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 403 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 404 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 405 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 406 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 407 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 408 7.782084620 4.4870552 12.153153493 3.85654654 -7.01194246
## 409 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 410 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 411 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 412 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 413 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 414 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 415 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 416 8.784114922 3.0923841 3.187446090 -0.75228859 -7.26743902
## 417 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 418 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 419 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 420 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 421 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 422 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 423 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 424 2.536415352 -4.1020261 -3.351325458 -2.02499111 -0.05634211
## 425 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 426 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 427 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 428 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 429 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 430 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 431 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 432 -4.375991784 3.3592803 -1.117211035 9.22338664 4.24839313
## 433 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 434 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 435 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 436 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 437 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 438 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 439 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 440 -5.843832219 1.7160318 4.445454943 1.25040649 -0.88012233
## 441 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 442 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 443 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 444 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 445 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 446 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 447 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 448 4.393399925 46.4313694 27.029776344 -20.91915970 7.13589107
## 449 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 450 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 451 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 452 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 453 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 454 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 455 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 456 2.169418820 -1.4145130 2.581558989 -0.72142131 1.89745582
## 457 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 458 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 459 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 460 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 461 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 462 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 463 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 464 -0.111701868 3.8743738 -1.888279623 -8.48702084 -0.80942156
## 465 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 466 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 467 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 468 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 469 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 470 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 471 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 472 -2.846298573 -5.1431998 2.319066299 -2.88980608 -4.47911955
## 473 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 474 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 475 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 476 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 477 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 478 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 479 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 480 -20.506409629 -40.3436737 -20.034604824 -0.61298795 -33.50569081
## 481 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 482 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 483 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 484 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 485 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 486 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 487 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 488 -10.066066801 15.8575931 -44.520799676 -0.51418742 37.05942132
## 489 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 490 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 491 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 492 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 493 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 494 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 495 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 496 30.217594933 15.5726415 -57.163971717 -41.30134020 41.29574344
## 497 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 498 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 499 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 500 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 501 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 502 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 503 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 504 -0.710120318 -0.5134923 1.051259861 1.78803136 -5.55512912
## 505 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 506 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 507 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 508 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 509 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 510 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 511 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 512 48.928869477 50.6430137 -44.875327893 53.41403537 -65.27841951
## 513 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 514 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 515 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 516 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 517 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 518 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 519 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 520 2.455259326 -7.1817680 12.515632098 -13.80590778 0.47635435
## 521 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 522 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 523 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 524 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 525 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 526 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 527 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 528 1.379739432 -6.8582967 2.507656189 -2.65901941 -0.01210661
## 529 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 530 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 531 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 532 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 533 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 534 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 535 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 536 3.705671103 -4.7999835 18.758645476 8.49163520 0.65608034
## 537 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 538 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 539 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 540 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 541 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 542 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 543 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 544 -6.292550911 0.8585297 -0.885967791 -1.82294359 -1.79604521
## 545 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 546 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 547 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 548 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 549 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 550 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 551 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 552 2.646673138 -0.3050123 1.738708654 -2.38338529 -0.88873057
## 553 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 554 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 555 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 556 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 557 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 558 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 559 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 560 6.497650248 -9.1461871 -6.589621883 -10.35183184 -8.12888263
## 561 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 562 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 563 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 564 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 565 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 566 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 567 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 568 -3.407340102 -0.3731661 -5.677354195 -6.42698142 -5.34306597
## 569 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 570 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 571 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 572 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 573 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 574 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 575 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 576 -1.232396250 1.5848090 1.806175182 0.90910866 -7.41489743
## 577 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 578 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 579 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 580 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 581 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 582 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 583 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 584 0.066839628 -1.4484169 1.545861491 5.55777366 -1.63369161
## 585 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 586 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 587 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 588 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 589 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 590 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 591 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 592 -14.062033812 18.7127646 -6.365764684 14.20110210 16.40711825
## 593 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 594 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 595 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 596 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 597 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 598 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 599 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 600 -24.016620714 -26.6990999 68.611987438 44.43689022 61.59914391
## 601 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 602 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 603 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 604 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 605 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 606 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 607 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 608 -3.067110120 2.6895692 0.934986007 0.70866983 -1.71481430
## 609 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 610 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 611 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 612 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 613 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 614 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 615 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 616 2.384930403 -2.8058364 1.359861886 -4.96071665 3.29861892
## 617 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 618 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 619 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 620 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 621 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 622 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 623 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 624 7.247842447 -1.5417096 0.087076165 -1.08360817 -5.69820505
## 625 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 626 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 627 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 628 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 629 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 630 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 631 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 632 3.854161820 7.4064217 4.994447395 -1.18863901 -5.83189344
## 633 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 634 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 635 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 636 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 637 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 638 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 639 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 640 3.889901385 -2.1670846 -1.102975641 -7.27807796 -5.34758855
## 641 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 642 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 643 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 644 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 645 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 646 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 647 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 648 -6.278249927 24.3178350 48.509613050 -39.73198617 2.10284763
## 649 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 650 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 651 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 652 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 653 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 654 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 655 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 656 4.283005805 3.0520822 4.323873213 -4.45011558 -2.04822162
## 657 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 658 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 659 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 660 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 661 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 662 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 663 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 664 11.362589687 7.9110300 16.943488232 2.20532781 -11.35123585
## 665 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 666 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 667 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 668 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 669 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 670 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 671 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 672 13.988920127 13.8115902 39.513847188 11.30727396 -37.07277687
## 673 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 674 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 675 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 676 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 677 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 678 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 679 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 680 -1.449534842 -0.2352228 -0.657667751 -4.00504173 -1.28054064
## 681 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 682 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 683 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 684 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 685 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 686 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 687 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 688 -3.665194623 -0.9199016 -4.974398082 6.23681150 -7.35792010
## 689 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 690 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 691 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 692 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 693 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 694 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 695 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 696 0.453505754 -4.0405000 2.681226361 -0.25522063 0.45112197
## 697 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 698 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 699 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 700 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 701 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 702 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 703 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 704 7.650290641 -15.4582985 6.482815338 10.31044805 -9.64940967
## 705 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 706 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 707 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 708 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 709 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 710 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 711 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 712 -0.349418630 1.0200466 4.334277880 -0.60735820 -2.27387110
## 713 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 714 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 715 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 716 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 717 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 718 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 719 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 720 -0.324791517 0.2418451 0.856221713 2.00695882 -5.48837424
## 721 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 722 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 723 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 724 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 725 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 726 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 727 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 728 -4.397024218 -1.4858118 2.851450895 -1.67913073 2.40105784
## 729 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 730 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 731 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 732 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 733 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 734 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 735 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 736 -2.235715106 11.0489417 25.123449920 11.76937131 5.70028194
## 737 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 738 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 739 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 740 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 741 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 742 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 743 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 744 -9.520867719 0.1224716 1.348518073 -0.15567193 0.03030334
## 745 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 746 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 747 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 748 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 749 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 750 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 751 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 752 -4.306063918 -2.1079350 2.227035323 -5.89819630 0.02554444
## 753 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 754 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 755 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 756 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 757 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 758 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 759 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 760 -0.012633038 -3.8963256 1.763771633 3.25221563 -5.32637637
## 761 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 762 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 763 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 764 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 765 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 766 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 767 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 768 -0.630761824 -9.5583657 1.525303258 -3.80777784 0.79473703
## 769 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 770 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 771 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 772 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 773 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 774 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 775 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 776 2.530929343 -2.4020978 -0.467509547 1.87997836 -3.27778848
## 777 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 778 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 779 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 780 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 781 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 782 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 783 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 784 1.340305152 -7.0116062 4.523766550 11.16269335 -0.75002457
## 785 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 786 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 787 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 788 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 789 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 790 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 791 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 792 -24.274208377 -21.8535722 -40.530373716 -9.36862309 12.75839177
## 793 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 794 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 795 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 796 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 797 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 798 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## 799 4.008469488 -9.5951385 -0.322720026 -2.25882160 -13.36622464
## PC20_score PC21_score PC22_score PC23_score PC24_score PC25_score
## 1 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 2 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 3 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 4 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 5 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 6 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 7 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 8 -1.547672885 -2.6887549 -2.3618082 1.0937312 -6.1366231 1.21458612
## 9 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 10 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 11 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 12 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 13 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 14 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 15 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 16 5.796251576 -6.4208035 -1.1566844 -2.4458049 -5.4885156 -1.23960636
## 17 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 18 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 19 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 20 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 21 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 22 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 23 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 24 2.307138802 -4.0311037 -12.1507679 6.8707986 -41.4745682 -1.96035802
## 25 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 26 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 27 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 28 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 29 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 30 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 31 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 32 4.019175644 -9.8900002 15.0748475 -5.9174091 -1.6603660 -2.46125075
## 33 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 34 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 35 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 36 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 37 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 38 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 39 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 40 6.415844816 -5.7447523 -9.8857469 -0.6116783 -10.3087485 0.95367200
## 41 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 42 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 43 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 44 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 45 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 46 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 47 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 48 8.753793941 -3.2667488 -3.6507281 7.3200849 6.5021354 -5.64017119
## 49 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 50 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 51 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 52 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 53 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 54 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 55 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 56 -30.563119960 -20.2588914 7.2601444 16.8449438 55.6531913 15.49032981
## 57 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 58 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 59 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 60 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 61 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 62 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 63 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 64 14.587714755 4.4905511 -6.1875828 -2.4473398 0.7467003 -12.42319089
## 65 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 66 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 67 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 68 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 69 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 70 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 71 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 72 9.068048041 0.7881767 -3.3027298 -2.0265398 -10.8866004 8.55042138
## 73 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 74 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 75 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 76 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 77 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 78 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 79 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 80 1.726874955 -1.2353986 -7.7994027 11.5432294 -15.6767147 -12.40527302
## 81 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 82 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 83 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 84 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 85 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 86 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 87 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 88 -1.724166235 -4.9175125 -2.1959972 -7.1787033 0.4755988 -2.52547026
## 89 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 90 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 91 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 92 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 93 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 94 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 95 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 96 -4.426626569 1.6130078 2.2269879 19.4421877 -36.5039613 -4.78446455
## 97 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 98 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 99 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 100 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 101 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 102 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 103 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 104 0.096915857 -6.7059656 0.3089100 -2.0927892 -21.8264114 -7.17961616
## 105 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 106 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 107 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 108 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 109 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 110 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 111 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 112 4.894286240 -5.4707645 -1.1731439 3.8490571 -0.5699697 -6.88063970
## 113 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 114 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 115 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 116 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 117 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 118 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 119 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 120 0.486948377 23.1425564 -14.0908797 -2.6509125 16.9401358 -0.58669805
## 121 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 122 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 123 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 124 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 125 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 126 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 127 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 128 13.044481328 -13.3164075 7.2399835 -0.9472426 -11.0191826 -9.17696009
## 129 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 130 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 131 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 132 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 133 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 134 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 135 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 136 8.435944154 -10.7274950 -4.3458718 -0.6718981 -4.9894933 -0.12005567
## 137 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 138 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 139 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 140 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 141 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 142 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 143 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 144 11.552656357 0.6085724 3.4695323 -6.0563354 1.2730920 7.59063043
## 145 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 146 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 147 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 148 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 149 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 150 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 151 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 152 0.911099340 -1.1973846 -4.0927249 5.4781811 -8.4514610 -13.13790346
## 153 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 154 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 155 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 156 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 157 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 158 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 159 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 160 2.597581312 -20.7150107 5.5105905 8.7924709 15.6981979 7.16684940
## 161 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 162 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 163 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 164 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 165 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 166 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 167 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 168 5.225034632 -11.2918679 -1.8951975 -3.4030735 -1.9394109 -4.37900306
## 169 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 170 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 171 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 172 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 173 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 174 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 175 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 176 1.616595428 -4.7658539 -0.5780641 -0.5292040 -6.9767838 4.96939035
## 177 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 178 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 179 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 180 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 181 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 182 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 183 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 184 -0.233871447 -5.1741439 1.5790055 -5.3892218 0.5349903 0.01247897
## 185 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 186 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 187 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 188 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 189 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 190 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 191 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 192 2.115909454 20.3849471 7.2255881 0.2240996 8.3041547 2.71741019
## 193 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 194 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 195 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 196 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 197 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 198 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 199 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 200 0.530614451 -7.1192971 3.1946853 -2.6802363 10.3143470 6.94742126
## 201 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 202 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 203 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 204 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 205 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 206 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 207 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 208 13.938161410 -3.2891069 -41.4595829 33.0116756 -35.8017960 47.92651699
## 209 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 210 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 211 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 212 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 213 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 214 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 215 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 216 -13.112149145 -10.0401562 -48.6843174 -81.6637574 26.4219464 -16.16943438
## 217 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 218 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 219 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 220 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 221 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 222 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 223 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 224 -0.407054223 -0.9188841 3.9239079 1.8439414 4.4537549 2.36701904
## 225 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 226 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 227 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 228 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 229 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 230 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 231 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 232 6.167051913 -4.6412540 1.1621889 1.3281596 -0.9276771 -0.03680789
## 233 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 234 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 235 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 236 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 237 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 238 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 239 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 240 2.406699506 -11.5825680 37.8051213 -21.2099676 3.3640522 -46.84774464
## 241 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 242 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 243 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 244 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 245 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 246 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 247 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 248 2.872977809 -0.6212477 -1.2625736 0.5765770 -8.7013642 0.60920884
## 249 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 250 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 251 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 252 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 253 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 254 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 255 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 256 4.568332004 -9.1189458 -4.0235531 0.8423049 -1.5569466 -1.76529064
## 257 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 258 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 259 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 260 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 261 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 262 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 263 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 264 1.478876967 -8.3001575 2.0008496 -3.4053446 -6.2235795 3.17686647
## 265 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 266 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 267 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 268 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 269 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 270 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 271 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 272 7.800781993 7.6703419 -2.8773738 -9.0364211 -0.8404864 -18.10698552
## 273 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 274 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 275 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 276 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 277 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 278 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 279 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 280 -0.914384294 15.8313736 0.9482794 1.1040320 -17.3607171 -3.27068164
## 281 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 282 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 283 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 284 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 285 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 286 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 287 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 288 0.002002104 17.9498155 0.5752017 7.9773859 -10.4069521 9.59223987
## 289 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 290 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 291 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 292 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 293 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 294 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 295 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 296 5.126960361 -1.6399512 6.3688595 -6.2881111 -6.3148835 -3.41970407
## 297 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 298 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 299 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 300 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 301 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 302 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 303 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 304 0.185357025 -0.1096148 9.8812591 -2.5777551 -2.2223634 1.13307875
## 305 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 306 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 307 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 308 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 309 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 310 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 311 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 312 3.015332255 -2.3359668 -2.2812384 -3.4935863 -3.3631156 -1.55372981
## 313 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 314 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 315 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 316 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 317 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 318 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 319 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 320 8.927862383 2.9074123 -6.2731366 -8.7456354 -8.4674734 -16.75920110
## 321 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 322 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 323 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 324 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 325 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 326 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 327 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 328 -0.945888164 0.0330882 15.9222573 -9.7208175 -38.1301308 -12.90525290
## 329 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 330 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 331 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 332 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 333 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 334 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 335 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 336 -0.479053794 -0.7729664 6.4806320 -8.6189964 -3.9936331 3.60523584
## 337 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 338 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 339 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 340 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 341 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 342 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 343 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 344 -11.171407109 3.1453841 10.6422959 -20.6758010 18.6517066 -37.72300240
## 345 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 346 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 347 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 348 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 349 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 350 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 351 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 352 -5.508189370 9.4639605 -19.6341700 22.1812747 -15.6643742 3.23561992
## 353 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 354 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 355 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 356 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 357 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 358 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 359 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 360 -0.677913942 3.6069965 12.1684758 4.2829585 1.4537587 2.36489010
## 361 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 362 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 363 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 364 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 365 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 366 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 367 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 368 38.843322097 -15.5818110 15.2371489 -8.6922748 2.0793220 -21.64506042
## 369 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 370 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 371 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 372 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 373 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 374 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 375 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 376 1.196579292 4.4970526 -3.6089627 2.8599491 2.5099352 -10.92097958
## 377 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 378 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 379 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 380 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 381 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 382 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 383 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 384 10.964185259 -3.2374202 2.1888720 6.2739312 1.0858328 1.07362476
## 385 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 386 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 387 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 388 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 389 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 390 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 391 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 392 1.165796865 -6.9227908 0.5320607 -5.2655355 -1.2084507 6.06360407
## 393 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 394 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 395 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 396 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 397 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 398 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 399 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 400 2.722209673 -2.0731375 4.3669131 0.6824389 5.5958864 1.21901577
## 401 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 402 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 403 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 404 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 405 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 406 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 407 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 408 4.969216565 16.7069013 -5.4608443 6.5882845 -5.6913803 -17.89619645
## 409 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 410 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 411 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 412 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 413 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 414 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 415 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 416 -5.207977272 -0.4166673 -3.9568640 5.8911508 -5.0015597 5.19777116
## 417 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 418 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 419 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 420 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 421 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 422 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 423 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 424 5.299075330 -7.7787861 5.0883172 -1.5083143 -7.3507050 -1.43146754
## 425 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 426 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 427 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 428 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 429 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 430 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 431 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 432 -5.703939785 -8.4625112 -4.5723655 2.2645719 -1.7924812 0.56818205
## 433 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 434 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 435 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 436 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 437 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 438 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 439 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 440 -1.684290468 -7.8114151 5.1879331 -5.0849168 -1.2171766 4.05954889
## 441 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 442 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 443 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 444 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 445 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 446 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 447 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 448 1.371935216 -24.5158576 -17.6297186 1.4723533 4.5030859 15.31911424
## 449 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 450 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 451 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 452 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 453 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 454 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 455 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 456 4.155004031 -4.2945477 -1.2628217 2.0303769 0.4076417 3.00417877
## 457 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 458 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 459 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 460 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 461 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 462 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 463 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 464 4.165145740 0.4828299 4.2385016 -5.8532190 0.5173626 -1.04126295
## 465 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 466 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 467 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 468 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 469 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 470 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 471 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 472 4.465088828 -5.4905480 7.4376199 -6.1029814 -9.0305285 4.87628030
## 473 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 474 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 475 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 476 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 477 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 478 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 479 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 480 -15.724816683 42.7526842 48.3414456 66.4714113 7.5101503 0.72598146
## 481 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 482 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 483 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 484 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 485 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 486 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 487 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 488 12.537554672 -11.5411143 -28.4520109 33.9602460 6.2207148 -7.66104005
## 489 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 490 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 491 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 492 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 493 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 494 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 495 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 496 49.040302046 85.2042966 2.8990059 -26.6239586 -13.2675777 27.27346869
## 497 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 498 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 499 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 500 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 501 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 502 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 503 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 504 10.980128108 -2.8618677 2.7892988 -4.1744579 -2.0441450 2.39805622
## 505 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 506 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 507 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 508 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 509 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 510 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 511 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 512 -30.794455773 -9.7489201 -0.0742946 -7.4986993 -6.9591519 3.47245809
## 513 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 514 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 515 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 516 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 517 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 518 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 519 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 520 13.860457935 -14.3436791 7.8161911 1.9341080 13.4807507 7.82099961
## 521 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 522 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 523 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 524 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 525 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 526 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 527 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 528 3.288334985 -9.9929357 5.9579965 -2.7422582 -1.7339824 14.20744881
## 529 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 530 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 531 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 532 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 533 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 534 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 535 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 536 -28.850966476 -6.5171473 33.3429540 -46.8252891 -2.4228206 84.34303686
## 537 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 538 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 539 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 540 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 541 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 542 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 543 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 544 4.101932584 -7.3573083 -0.2415626 2.3530982 -2.6757790 -7.73676534
## 545 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 546 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 547 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 548 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 549 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 550 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 551 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 552 1.010758695 -1.1850752 1.3592173 -5.3009838 1.7897484 -0.08526685
## 553 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 554 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 555 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 556 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 557 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 558 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 559 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 560 -0.624304733 -20.0861035 12.5088497 0.2056749 -9.4705078 -3.18870456
## 561 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 562 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 563 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 564 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 565 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 566 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 567 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 568 4.701383171 4.4261659 3.7346548 4.3595170 0.4137536 -2.97099736
## 569 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 570 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 571 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 572 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 573 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 574 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 575 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 576 0.455028966 -1.3562615 -0.1145718 1.0948821 -2.3685803 -0.13786667
## 577 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 578 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 579 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 580 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 581 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 582 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 583 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 584 -2.210466954 -2.3219125 5.9749365 -0.9232099 2.3735440 4.44552446
## 585 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 586 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 587 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 588 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 589 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 590 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 591 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 592 -18.813725079 24.6409378 -2.4494043 -6.4245693 3.1114492 -8.85177265
## 593 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 594 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 595 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 596 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 597 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 598 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 599 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 600 -3.205490690 19.1865866 -0.8878617 13.7598840 -4.1937387 -13.13201349
## 601 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 602 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 603 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 604 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 605 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 606 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 607 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 608 3.253871687 -1.4442874 6.4920173 -5.7737418 1.0695661 -1.88410102
## 609 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 610 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 611 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 612 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 613 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 614 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 615 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 616 0.486389880 -3.3810893 5.3272809 -9.0461303 1.6678739 8.39113899
## 617 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 618 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 619 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 620 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 621 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 622 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 623 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 624 6.877085117 -12.2017571 1.9258201 -1.7380250 1.3861530 4.34974286
## 625 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 626 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 627 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 628 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 629 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 630 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 631 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 632 -9.158126884 4.5872081 3.0712608 -9.1076554 6.2298200 -21.57887888
## 633 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 634 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 635 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 636 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 637 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 638 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 639 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 640 -1.857006465 -2.2890788 -2.6172485 4.1506238 3.1954881 0.06822724
## 641 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 642 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 643 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 644 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 645 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 646 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 647 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 648 -14.281975746 36.3067401 28.3788439 -2.3524468 1.9409297 -4.45205288
## 649 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 650 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 651 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 652 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 653 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 654 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 655 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 656 4.823713189 2.1996402 -0.7682393 0.7423546 -0.5937670 -3.17678336
## 657 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 658 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 659 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 660 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 661 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 662 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 663 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 664 -4.616188186 29.8751814 -6.6592833 -12.3390423 6.9424751 -22.14332516
## 665 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 666 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 667 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 668 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 669 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 670 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 671 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 672 7.610387425 63.5080452 -57.3432551 -9.2745184 39.2188353 4.53063885
## 673 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 674 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 675 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 676 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 677 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 678 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 679 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 680 0.687972757 2.6832496 2.6286558 1.6775221 -0.7893935 -0.92363016
## 681 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 682 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 683 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 684 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 685 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 686 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 687 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 688 -30.318657977 14.0331821 48.5684986 2.6734974 35.7410930 -8.07022697
## 689 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 690 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 691 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 692 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 693 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 694 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 695 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 696 1.297787484 -3.2979474 -2.2638722 -3.1718686 1.1160871 1.65759721
## 697 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 698 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 699 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 700 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 701 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 702 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 703 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 704 -10.714262368 10.6466141 30.3064663 4.3547765 8.7290804 14.57955770
## 705 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 706 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 707 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 708 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 709 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 710 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 711 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 712 -1.451101124 -0.5212732 3.4493909 -3.6503149 1.0110808 2.15743924
## 713 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 714 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 715 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 716 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 717 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 718 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 719 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 720 1.235905217 -2.3794713 0.6818432 -2.7152681 -3.0812920 4.74359457
## 721 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 722 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 723 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 724 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 725 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 726 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 727 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 728 -3.692272667 3.0192576 -3.0333295 3.2279479 -1.5889016 8.67933671
## 729 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 730 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 731 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 732 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 733 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 734 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 735 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 736 -18.590377677 -10.4651928 -11.7446531 0.8320506 -31.2547503 -17.49664305
## 737 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 738 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 739 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 740 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 741 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 742 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 743 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 744 0.559911153 -5.9588143 2.7260667 1.2638344 1.0417951 -1.73822667
## 745 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 746 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 747 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 748 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 749 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 750 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 751 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 752 0.445942505 -0.3342750 3.4574216 -1.0029138 1.4406223 2.47622556
## 753 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 754 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 755 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 756 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 757 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 758 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 759 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 760 -4.418779095 1.9234113 3.6719108 0.4782737 10.5905927 6.81136695
## 761 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 762 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 763 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 764 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 765 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 766 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 767 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 768 -2.354084365 -7.4299409 2.9350288 -2.7505537 4.4367837 0.30603186
## 769 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 770 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 771 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 772 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 773 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 774 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 775 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 776 -1.962723866 -4.4939801 1.7810155 -2.7728089 -2.0422987 4.74171058
## 777 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 778 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 779 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 780 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 781 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 782 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 783 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 784 -1.117864501 -7.3090814 -2.2863602 -2.9828740 9.3660469 22.87991722
## 785 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 786 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 787 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 788 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 789 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 790 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 791 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 792 15.481835441 -11.1523703 5.4732597 1.4447109 3.1867772 0.25249042
## 793 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 794 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 795 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 796 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 797 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 798 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## 799 -3.791399395 -6.1163475 -12.7708727 14.8595867 32.9179030 -3.07381334
## PC26_score PC27_score PC28_score PC29_score PC30_score
## 1 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 2 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 3 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 4 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 5 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 6 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 7 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 8 3.131320116 -2.89665769 3.524453334 2.78709636 7.60099827
## 9 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 10 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 11 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 12 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 13 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 14 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 15 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 16 -2.297117408 5.24123691 -3.217537414 -1.07040208 -1.67762151
## 17 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 18 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 19 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 20 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 21 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 22 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 23 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 24 12.545276570 30.06770072 -34.050393161 -21.83285839 26.38077382
## 25 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 26 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 27 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 28 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 29 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 30 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 31 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 32 -12.873207900 9.32274781 11.820214904 -16.09203167 3.26052866
## 33 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 34 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 35 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 36 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 37 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 38 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 39 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 40 -1.845939859 8.53674191 -11.329149130 -2.43862693 1.77626680
## 41 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 42 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 43 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 44 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 45 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 46 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 47 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 48 -1.315339358 -4.13424665 -0.408095450 -0.59544680 1.28039791
## 49 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 50 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 51 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 52 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 53 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 54 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 55 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 56 -27.450519501 17.27084963 14.338978479 -11.37100949 1.36808093
## 57 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 58 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 59 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 60 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 61 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 62 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 63 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 64 10.957289439 8.17173586 -2.543153102 -18.81063452 0.05666564
## 65 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 66 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 67 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 68 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 69 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 70 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 71 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 72 -5.148620311 21.17921191 -9.636012407 -11.08658750 13.87266970
## 73 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 74 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 75 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 76 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 77 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 78 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 79 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 80 7.583775526 16.03277323 -8.971864393 -4.64579815 18.63111845
## 81 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 82 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 83 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 84 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 85 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 86 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 87 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 88 10.718811279 3.12995067 -5.837319462 0.92620472 4.17529860
## 89 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 90 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 91 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 92 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 93 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 94 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 95 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 96 7.387741535 -65.19715491 -18.039698550 -34.34484448 10.99263888
## 97 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 98 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 99 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 100 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 101 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 102 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 103 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 104 -5.588980271 1.28044151 6.181767337 -4.16098176 2.86664791
## 105 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 106 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 107 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 108 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 109 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 110 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 111 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 112 2.553203047 3.57452250 0.991275969 3.86071514 7.56268247
## 113 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 114 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 115 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 116 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 117 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 118 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 119 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 120 -12.665558326 -34.42008587 -3.540254293 3.78529105 -4.65550050
## 121 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 122 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 123 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 124 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 125 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 126 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 127 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 128 -14.927834297 21.77204263 10.078342557 0.03769650 3.99434274
## 129 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 130 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 131 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 132 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 133 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 134 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 135 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 136 -12.377921360 20.91260088 -2.700931277 0.39281743 0.98420396
## 137 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 138 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 139 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 140 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 141 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 142 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 143 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 144 -3.743920267 -0.74752395 8.788301265 7.53171798 0.34935745
## 145 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 146 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 147 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 148 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 149 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 150 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 151 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 152 7.632962788 8.51940210 -5.517638251 7.95770821 2.66662511
## 153 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 154 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 155 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 156 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 157 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 158 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 159 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 160 19.275458931 18.20928212 3.901491821 -0.69897888 -0.43538340
## 161 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 162 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 163 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 164 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 165 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 166 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 167 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 168 -11.127722467 2.76237038 9.713435833 -13.88151046 -3.85437340
## 169 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 170 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 171 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 172 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 173 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 174 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 175 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 176 -4.337299073 3.28126919 5.055722738 1.29000689 1.08264428
## 177 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 178 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 179 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 180 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 181 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 182 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 183 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 184 -3.463822422 1.84577151 6.157599547 -0.52271232 0.36022947
## 185 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 186 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 187 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 188 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 189 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 190 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 191 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 192 22.223479024 -2.39003587 -13.081984586 6.59375664 4.58393471
## 193 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 194 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 195 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 196 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 197 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 198 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 199 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 200 5.164665063 -1.76683070 -1.423952686 -4.90873065 -5.87264713
## 201 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 202 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 203 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 204 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 205 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 206 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 207 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 208 46.563403140 -17.10978063 5.153899929 -3.56665746 -81.34049679
## 209 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 210 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 211 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 212 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 213 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 214 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 215 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 216 6.236422022 -0.96246295 4.230510006 1.21987912 3.32848948
## 217 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 218 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 219 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 220 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 221 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 222 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 223 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 224 2.263332653 -0.29710335 2.026314616 -2.36112825 3.39347702
## 225 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 226 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 227 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 228 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 229 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 230 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 231 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 232 -3.442855883 1.24478109 0.751633375 -0.22419370 1.33396261
## 233 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 234 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 235 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 236 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 237 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 238 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 239 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 240 7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 241 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 242 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 243 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 244 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 245 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 246 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 247 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 248 -5.438999185 2.92148673 5.196264993 2.90716435 7.79860306
## 249 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 250 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 251 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 252 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 253 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 254 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 255 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 256 0.862353102 12.10966088 -0.868429347 0.77867579 4.10329155
## 257 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 258 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 259 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 260 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 261 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 262 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 263 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 264 -5.462133811 6.96691459 6.577447289 -0.44577081 -1.90016258
## 265 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 266 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 267 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 268 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 269 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 270 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 271 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 272 1.509771681 -10.36692185 -6.563090752 8.87333509 -25.40586133
## 273 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 274 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 275 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 276 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 277 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 278 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 279 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 280 -8.785106237 -18.05091294 23.413636298 10.24843218 33.38980236
## 281 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 282 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 283 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 284 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 285 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 286 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 287 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 288 -22.560533352 -17.46838769 23.253539210 -6.89448549 11.87041487
## 289 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 290 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 291 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 292 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 293 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 294 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 295 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 296 -10.661270616 -5.04015154 19.077804718 2.96452640 -2.91618946
## 297 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 298 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 299 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 300 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 301 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 302 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 303 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 304 -5.378934236 -2.27205727 10.467328917 7.98546584 9.19894163
## 305 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 306 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 307 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 308 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 309 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 310 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 311 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 312 -1.591482284 5.27129299 2.195559852 -3.09010428 0.79489017
## 313 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 314 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 315 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 316 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 317 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 318 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 319 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 320 -9.145017158 0.52704018 13.347562617 17.61138678 -14.41716418
## 321 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 322 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 323 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 324 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 325 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 326 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 327 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 328 0.108170105 -16.09331932 36.305301816 26.71964797 13.63827422
## 329 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 330 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 331 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 332 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 333 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 334 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 335 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 336 -7.203207489 1.28182334 14.734289563 2.84921610 7.68986766
## 337 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 338 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 339 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 340 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 341 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 342 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 343 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 344 0.211147190 19.56825402 -53.524458194 29.89388945 -49.35149586
## 345 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 346 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 347 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 348 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 349 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 350 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 351 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 352 10.316024112 12.14162525 -38.095038495 25.03916181 39.25330103
## 353 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 354 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 355 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 356 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 357 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 358 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 359 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 360 7.818041772 3.18620341 -6.204394952 0.49624436 1.29943160
## 361 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 362 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 363 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 364 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 365 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 366 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 367 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 368 -0.961681159 -12.32131886 2.802058975 -10.42898918 4.73902858
## 369 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 370 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 371 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 372 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 373 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 374 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 375 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 376 0.519195492 -6.96574610 -0.751495361 1.28986956 -7.09570599
## 377 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 378 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 379 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 380 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 381 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 382 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 383 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 384 -5.085406079 4.98304469 0.252754189 -4.49857056 6.69783216
## 385 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 386 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 387 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 388 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 389 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 390 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 391 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 392 -1.918551653 6.92273599 2.381885884 2.15896798 -0.51691171
## 393 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 394 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 395 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 396 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 397 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 398 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 399 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 400 2.432376719 4.96225593 -1.668246943 1.35485820 0.55051587
## 401 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 402 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 403 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 404 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 405 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 406 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 407 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 408 -19.061448544 -7.11580326 25.115244661 14.69338079 -1.07932100
## 409 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 410 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 411 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 412 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 413 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 414 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 415 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 416 -10.405742038 -10.97754839 -0.098582692 14.38839774 7.99030325
## 417 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 418 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 419 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 420 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 421 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 422 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 423 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 424 0.001407893 11.39153937 -0.785690030 -6.90659902 0.63128422
## 425 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 426 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 427 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 428 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 429 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 430 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 431 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 432 19.317543763 14.67755493 -3.397881826 0.06350784 -6.60208315
## 433 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 434 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 435 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 436 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 437 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 438 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 439 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 440 7.367422763 5.68720576 4.673941422 -2.29138162 1.50828570
## 441 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 442 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 443 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 444 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 445 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 446 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 447 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 448 -10.497164037 -3.30954535 8.412414820 2.15110199 -4.22320645
## 449 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 450 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 451 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 452 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 453 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 454 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 455 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 456 -1.156184956 3.75214176 -5.511876893 4.33962839 1.66984485
## 457 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 458 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 459 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 460 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 461 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 462 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 463 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 464 0.672638830 8.83338374 6.846445863 0.09735360 0.19298306
## 465 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 466 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 467 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 468 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 469 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 470 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 471 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 472 -14.391662165 2.51645605 8.748495611 -0.60559094 -4.43165863
## 473 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 474 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 475 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 476 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 477 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 478 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 479 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 480 -51.615652413 27.23680650 -8.634156032 17.57767093 -23.96012703
## 481 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 482 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 483 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 484 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 485 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 486 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 487 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 488 15.387778206 -11.05446399 -14.601639493 -4.85432085 9.79201788
## 489 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 490 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 491 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 492 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 493 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 494 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 495 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 496 3.573813553 -2.86221755 -5.027474079 3.82640214 -5.32333114
## 497 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 498 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 499 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 500 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 501 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 502 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 503 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 504 0.301606428 6.75800152 9.621144264 1.00386479 -1.46483031
## 505 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 506 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 507 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 508 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 509 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 510 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 511 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 512 12.226981184 1.93144803 -10.158214814 3.70956322 0.96133485
## 513 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 514 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 515 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 516 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 517 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 518 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 519 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 520 -2.163031899 10.19258935 -61.638483644 1.32241441 -3.79292730
## 521 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 522 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 523 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 524 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 525 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 526 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 527 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 528 3.106125372 8.85067331 -2.046784214 4.96306098 -14.38301622
## 529 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 530 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 531 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 532 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 533 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 534 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 535 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 536 -31.300865250 -41.57478745 -36.020137901 8.17576309 8.83288564
## 537 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 538 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 539 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 540 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 541 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 542 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 543 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 544 1.917242319 4.81114897 -4.624183084 1.62321001 4.36748341
## 545 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 546 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 547 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 548 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 549 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 550 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 551 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 552 4.787397349 -0.93632203 -1.382892249 4.47883183 1.06261024
## 553 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 554 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 555 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 556 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 557 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 558 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 559 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 560 -44.610675443 -9.93055631 -4.056176252 -78.50704863 -38.67017843
## 561 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 562 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 563 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 564 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 565 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 566 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 567 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 568 -2.809436023 -5.47400316 2.328936761 5.97632728 5.11834404
## 569 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 570 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 571 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 572 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 573 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 574 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 575 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 576 -1.183475750 6.99271363 2.112136461 4.99371586 3.61827399
## 577 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 578 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 579 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 580 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 581 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 582 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 583 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 584 3.948960961 3.69837499 0.597770433 3.71791501 -0.10870739
## 585 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 586 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 587 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 588 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 589 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 590 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 591 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 592 17.178802444 7.97866937 3.119197374 -0.63792294 -7.60142226
## 593 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 594 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 595 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 596 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 597 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 598 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 599 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 600 -0.961892958 -15.54994377 -3.719984771 -8.01884710 2.09935918
## 601 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 602 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 603 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 604 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 605 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 606 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 607 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 608 6.308406725 -1.96671992 0.829649440 3.90613143 1.26483112
## 609 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 610 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 611 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 612 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 613 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 614 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 615 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 616 -4.903625864 0.28425420 4.395229246 -0.66644709 2.23103258
## 617 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 618 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 619 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 620 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 621 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 622 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 623 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 624 -9.278141399 -3.27430162 2.121702142 -0.93283907 -7.37500021
## 625 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 626 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 627 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 628 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 629 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 630 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 631 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 632 -0.841707209 0.72589667 -6.686514990 17.49038047 -15.31615580
## 633 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 634 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 635 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 636 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 637 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 638 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 639 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 640 4.364554935 -8.52648121 -9.600200444 2.23812468 -0.05350021
## 641 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 642 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 643 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 644 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 645 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 646 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 647 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 648 28.206543769 -9.64011262 -4.121481041 9.88170597 -9.22534910
## 649 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 650 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 651 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 652 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 653 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 654 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 655 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 656 -4.463029409 -1.67069634 11.855415578 1.39949396 -2.22426074
## 657 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 658 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 659 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 660 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 661 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 662 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 663 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 664 -9.805543704 -6.65958823 0.034492209 24.92225123 -7.10079270
## 665 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 666 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 667 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 668 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 669 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 670 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 671 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 672 -24.248368742 21.09210348 -6.208383590 -60.88520124 9.85316493
## 673 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 674 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 675 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 676 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 677 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 678 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 679 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 680 4.039825808 0.27941657 4.608872998 2.20830161 3.47834945
## 681 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 682 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 683 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 684 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 685 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 686 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 687 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 688 59.631049166 4.44767326 31.315660096 -29.99228244 11.59265426
## 689 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 690 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 691 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 692 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 693 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 694 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 695 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 696 1.712840092 5.38457011 0.998797664 -1.51258897 2.29974595
## 697 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 698 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 699 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 700 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 701 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 702 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 703 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 704 48.021404426 -0.02757754 -0.786302870 -41.21882440 15.29941313
## 705 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 706 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 707 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 708 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 709 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 710 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 711 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 712 -0.375828135 -0.45183391 4.022965091 3.60782911 1.69706070
## 713 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 714 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 715 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 716 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 717 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 718 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 719 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 720 -1.353839569 -0.67987928 3.872002649 11.34811607 2.90061544
## 721 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 722 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 723 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 724 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 725 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 726 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 727 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 728 3.739693065 4.96056516 12.277368616 3.80168738 -11.69042630
## 729 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 730 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 731 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 732 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 733 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 734 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 735 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 736 -7.891794608 14.01546843 6.652714960 -2.20077857 -8.13903628
## 737 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 738 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 739 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 740 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 741 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 742 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 743 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 744 3.421743219 2.39323622 2.754773117 -1.53756770 -2.28255288
## 745 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 746 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 747 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 748 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 749 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 750 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 751 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 752 3.752535024 3.67530063 -1.886921620 0.11885089 0.99401613
## 753 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 754 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 755 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 756 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 757 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 758 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 759 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 760 11.971018836 7.50840020 -4.994095092 5.33085152 -4.31109313
## 761 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 762 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 763 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 764 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 765 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 766 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 767 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 768 -8.963450387 1.52756457 0.002267393 1.14511367 3.88353347
## 769 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 770 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 771 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 772 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 773 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 774 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 775 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 776 -4.921059246 4.82551908 0.174826439 4.78001847 -3.20020671
## 777 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 778 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 779 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 780 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 781 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 782 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 783 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 784 5.336090469 6.72007838 7.266749163 13.44830816 10.98706529
## 785 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 786 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 787 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 788 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 789 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 790 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 791 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 792 -13.791978973 0.51771854 -5.481145276 -2.61774349 -2.02767656
## 793 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 794 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 795 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 796 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 797 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 798 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## 799 2.117832575 -21.18168180 28.299819265 10.00211348 -42.26820201
## PC31_score PC32_score PC33_score PC34_score PC35_score PC36_score
## 1 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 2 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 3 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 4 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 5 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 6 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 7 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 8 8.4386483 -1.22167351 0.66463050 -10.1663986 4.69620850 -12.5186030
## 9 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 10 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 11 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 12 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 13 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 14 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 15 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 16 2.0475803 -0.81211031 1.85853300 -4.9311189 0.57878011 -7.7390999
## 17 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 18 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 19 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 20 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 21 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 22 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 23 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 24 -33.3335573 44.45072036 33.45918781 -19.9496865 -43.81717267 -13.4243005
## 25 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 26 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 27 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 28 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 29 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 30 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 31 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 32 15.6920882 -5.58463306 11.53743434 -19.0077680 7.56384586 6.5514788
## 33 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 34 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 35 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 36 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 37 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 38 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 39 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 40 15.6242922 12.87664587 5.13484123 -13.1205057 -3.11815324 -11.0068451
## 41 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 42 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 43 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 44 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 45 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 46 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 47 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 48 -1.8809239 -4.46887718 3.38816427 -6.2006345 -1.09210060 -0.8639153
## 49 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 50 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 51 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 52 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 53 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 54 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 55 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 56 4.0374094 -4.86548788 -12.60878289 0.9183232 -2.34748168 13.7445209
## 57 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 58 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 59 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 60 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 61 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 62 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 63 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 64 24.3912723 -2.73128324 6.97304417 -5.5113879 15.48385748 -19.6306491
## 65 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 66 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 67 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 68 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 69 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 70 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 71 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 72 14.5686922 8.79689044 5.77648960 8.5959023 16.06701658 -18.9671308
## 73 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 74 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 75 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 76 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 77 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 78 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 79 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 80 -5.3071083 -0.12993728 0.34422035 8.3258859 1.11391105 2.4559232
## 81 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 82 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 83 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 84 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 85 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 86 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 87 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 88 7.2033465 4.48763810 5.46499991 1.1579420 5.91806279 -5.9146490
## 89 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 90 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 91 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 92 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 93 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 94 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 95 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 96 41.2439165 11.36669418 -5.89255520 -30.0228853 -1.11491842 33.6786140
## 97 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 98 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 99 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 100 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 101 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 102 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 103 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 104 -7.2225399 -3.23067726 -7.46233236 -20.5430781 -3.59136854 -8.6707475
## 105 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 106 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 107 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 108 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 109 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 110 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 111 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 112 4.9156040 1.43814740 -5.47791234 2.1122121 0.61042895 -1.8116347
## 113 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 114 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 115 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 116 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 117 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 118 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 119 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 120 -20.6442798 -3.61937625 13.77090251 -3.5506251 -9.45102617 15.8907976
## 121 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 122 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 123 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 124 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 125 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 126 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 127 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 128 3.8639522 12.37583042 12.98298086 -4.0690565 -1.74375678 -36.5805988
## 129 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 130 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 131 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 132 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 133 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 134 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 135 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 136 -7.0836990 -11.94345833 -0.84297778 -7.7931313 -8.56250938 -9.5901049
## 137 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 138 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 139 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 140 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 141 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 142 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 143 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 144 -1.8416834 -1.35168439 4.42444331 0.2871137 1.02821343 8.3633070
## 145 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 146 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 147 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 148 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 149 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 150 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 151 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 152 -16.7479385 9.65328633 9.19635250 2.8907992 8.61752606 3.9280220
## 153 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 154 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 155 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 156 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 157 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 158 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 159 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 160 4.3030656 3.53522444 0.22747002 8.8040757 0.43162580 0.1818163
## 161 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 162 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 163 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 164 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 165 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 166 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 167 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 168 -3.8073012 -5.22756707 -3.79453424 6.1899071 7.78564648 0.1853748
## 169 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 170 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 171 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 172 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 173 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 174 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 175 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 176 -0.2277127 3.50744805 0.97434438 -5.8907443 3.59569165 -2.4734944
## 177 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 178 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 179 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 180 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 181 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 182 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 183 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 184 -0.3453433 -1.98082818 -0.80571267 -3.8561446 2.86321396 -4.3426931
## 185 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 186 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 187 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 188 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 189 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 190 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 191 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 192 6.1608479 0.51897952 -4.16807520 4.0725814 -0.50943796 2.5715681
## 193 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 194 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 195 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 196 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 197 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 198 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 199 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 200 17.6909751 -16.66208468 -1.42067403 6.7277218 6.02590467 -10.1604633
## 201 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 202 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 203 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 204 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 205 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 206 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 207 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 208 -4.4530805 -35.73059892 3.07237503 0.9313960 -6.93042748 -21.5210839
## 209 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 210 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 211 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 212 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 213 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 214 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 215 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 216 -6.1632561 -9.75996618 -11.12618964 7.0408444 9.13210770 1.5364879
## 217 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 218 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 219 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 220 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 221 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 222 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 223 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 224 5.1120605 0.60960057 -1.63824313 -2.9276008 -0.87518314 3.4284101
## 225 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 226 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 227 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 228 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 229 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 230 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 231 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 232 0.8508833 -4.47315869 4.98025992 2.2187668 -2.80409121 2.3612080
## 233 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 234 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 235 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 236 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 237 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 238 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 239 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 240 10.2436718 -4.69067060 -73.47293643 5.8738030 -3.26413826 -44.1788908
## 241 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 242 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 243 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 244 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 245 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 246 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 247 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 248 -16.4669668 -3.65693796 -3.89113660 6.6227403 -5.89400321 18.2043885
## 249 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 250 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 251 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 252 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 253 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 254 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 255 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 256 5.7820507 -1.48013556 2.27826615 3.2804483 -13.19952625 3.0887738
## 257 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 258 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 259 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 260 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 261 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 262 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 263 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 264 1.4870486 -2.40821272 2.64870423 1.4928851 5.11622721 -1.7061926
## 265 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 266 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 267 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 268 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 269 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 270 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 271 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 272 12.6480859 -12.81202947 16.24766417 1.3692873 0.24726968 19.1872078
## 273 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 274 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 275 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 276 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 277 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 278 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 279 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 280 -15.7172100 7.50687730 0.30971535 -5.9661506 33.07987637 20.3232943
## 281 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 282 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 283 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 284 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 285 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 286 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 287 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 288 6.3054270 14.19794962 -0.79216374 -1.9464970 -25.87957077 5.6817007
## 289 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 290 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 291 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 292 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 293 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 294 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 295 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 296 -2.8207378 -6.82096152 3.44467706 -7.7056240 -0.58631955 -4.4834842
## 297 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 298 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 299 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 300 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 301 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 302 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 303 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 304 -0.4021731 -6.64812888 0.03192374 -4.3533539 -0.64273298 1.7444709
## 305 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 306 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 307 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 308 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 309 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 310 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 311 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 312 4.7608731 -4.95931363 0.71466030 0.6317756 -2.36377949 -1.4531533
## 313 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 314 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 315 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 316 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 317 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 318 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 319 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 320 -19.9309205 -11.24598478 15.08244590 -0.2805042 11.26214795 14.9540714
## 321 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 322 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 323 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 324 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 325 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 326 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 327 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 328 -32.0591160 7.98920634 6.27196128 -2.4205965 11.73506730 -13.7953279
## 329 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 330 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 331 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 332 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 333 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 334 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 335 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 336 14.7775307 -0.66634535 1.51018473 -5.1079940 1.90828039 -8.6818710
## 337 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 338 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 339 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 340 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 341 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 342 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 343 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 344 1.3027847 10.45970160 56.88922675 -26.8293439 38.94386945 19.1055788
## 345 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 346 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 347 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 348 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 349 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 350 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 351 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 352 -8.6177400 -15.67364680 -19.24149044 80.5533141 35.41095375 -6.4176475
## 353 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 354 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 355 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 356 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 357 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 358 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 359 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 360 -0.7076699 -2.45645065 2.73350534 -4.9079139 8.63522242 -9.5647156
## 361 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 362 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 363 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 364 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 365 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 366 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 367 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 368 16.7835680 4.46692707 6.34668836 -11.4308911 -18.05035374 -8.4417784
## 369 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 370 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 371 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 372 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 373 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 374 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 375 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 376 4.1682298 -3.93217235 6.16133980 3.9483010 -5.98004631 -0.8863413
## 377 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 378 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 379 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 380 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 381 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 382 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 383 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 384 -8.1098970 -13.77716381 -0.89207585 0.4242431 -1.73001710 2.1747343
## 385 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 386 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 387 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 388 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 389 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 390 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 391 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 392 2.7411691 -5.82665166 -7.21946962 -0.2526233 -0.79123505 5.1671512
## 393 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 394 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 395 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 396 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 397 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 398 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 399 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 400 3.0912302 0.86781033 -2.24222335 -1.0416293 -0.01664866 -0.7840408
## 401 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 402 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 403 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 404 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 405 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 406 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 407 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 408 -4.7190746 24.22807803 -2.01832462 22.5913156 6.63812654 9.6851271
## 409 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 410 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 411 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 412 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 413 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 414 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 415 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 416 -12.1951514 11.34416093 0.96533851 18.5385098 1.00930599 12.1109450
## 417 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 418 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 419 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 420 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 421 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 422 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 423 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 424 -4.5163167 8.18400049 -3.58397906 0.8804562 -1.60783443 2.9307664
## 425 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 426 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 427 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 428 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 429 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 430 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 431 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 432 22.4850513 7.78103136 -13.36118117 17.8569450 25.24894847 -19.8080028
## 433 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 434 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 435 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 436 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 437 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 438 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 439 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 440 3.7693203 8.45200941 5.69265885 -4.7967328 11.88789833 -10.3122467
## 441 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 442 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 443 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 444 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 445 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 446 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 447 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 448 -0.5014706 -1.22691020 -1.16884875 4.5217571 -2.62451516 3.1818948
## 449 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 450 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 451 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 452 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 453 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 454 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 455 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 456 6.9716199 -0.29875735 -2.64744042 -0.2479463 -2.63646868 6.9671121
## 457 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 458 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 459 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 460 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 461 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 462 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 463 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 464 9.6062231 -2.30162467 5.25561886 -10.5655869 9.97113123 0.2123298
## 465 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 466 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 467 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 468 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 469 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 470 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 471 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 472 -5.8215581 -16.66405284 -2.48880390 -8.9069828 3.53385595 4.4908785
## 473 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 474 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 475 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 476 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 477 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 478 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 479 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 480 17.6462298 -12.46917386 -10.33410770 -5.0096152 -0.72885301 -9.0081997
## 481 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 482 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 483 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 484 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 485 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 486 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 487 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 488 -1.3914199 8.73170295 5.98197317 9.5127303 -9.04518884 5.7699817
## 489 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 490 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 491 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 492 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 493 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 494 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 495 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 496 -14.2673916 6.26074257 -5.63731436 3.7234446 9.96845952 -7.6797430
## 497 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 498 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 499 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 500 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 501 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 502 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 503 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 504 -0.4456627 -2.79357984 -3.40457371 -4.9967913 3.76281587 -0.3669735
## 505 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 506 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 507 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 508 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 509 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 510 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 511 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 512 3.0318959 5.87088732 -5.58721473 -14.5665216 -2.56870866 1.0598430
## 513 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 514 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 515 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 516 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 517 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 518 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 519 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 520 -34.3895996 17.91216211 -33.08248998 4.4195776 -38.60009467 41.4401993
## 521 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 522 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 523 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 524 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 525 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 526 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 527 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 528 5.8526873 -10.80432527 -1.28261243 1.3783103 -10.08524073 20.1986117
## 529 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 530 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 531 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 532 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 533 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 534 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 535 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 536 14.2463176 9.81101938 38.04549264 21.8633646 -11.46827596 -16.9323455
## 537 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 538 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 539 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 540 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 541 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 542 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 543 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 544 6.0766945 -9.67078858 5.54469307 -3.9658929 -5.02653803 1.5032499
## 545 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 546 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 547 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 548 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 549 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 550 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 551 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 552 3.0798192 -0.10015718 2.74555942 3.2461201 -5.14407977 2.7358031
## 553 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 554 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 555 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 556 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 557 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 558 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 559 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 560 -64.9439425 -4.88123796 0.13646566 29.1310384 32.80556815 1.9436902
## 561 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 562 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 563 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 564 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 565 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 566 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 567 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 568 6.0795280 -9.54656621 5.50615798 2.2966405 0.87843445 3.6623582
## 569 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 570 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 571 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 572 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 573 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 574 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 575 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 576 2.2093950 -3.54088684 -3.85415875 -2.5334822 -1.91347044 1.4382806
## 577 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 578 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 579 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 580 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 581 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 582 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 583 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 584 3.7601200 -4.47745468 -6.23068902 -1.6503320 4.13888452 -2.5675200
## 585 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 586 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 587 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 588 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 589 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 590 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 591 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 592 3.8615463 0.64017004 -4.36550638 -4.1956019 -2.62324446 1.4493174
## 593 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 594 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 595 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 596 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 597 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 598 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 599 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 600 -3.2024205 2.04408609 2.32357395 0.7136729 2.33789138 5.5819501
## 601 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 602 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 603 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 604 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 605 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 606 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 607 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 608 4.6181737 -3.18000383 -6.95817296 3.7491786 -1.21362161 -6.9085396
## 609 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 610 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 611 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 612 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 613 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 614 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 615 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 616 1.6867312 -2.55176277 -4.89379969 0.1079149 -0.31592610 0.8490331
## 617 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 618 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 619 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 620 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 621 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 622 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 623 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 624 -4.8057586 -12.11975540 -1.46600839 8.4232050 -1.44261545 3.0499116
## 625 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 626 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 627 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 628 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 629 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 630 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 631 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 632 -4.8130318 -9.92796393 -0.39913803 5.5141795 -18.83901784 12.2424775
## 633 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 634 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 635 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 636 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 637 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 638 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 639 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 640 7.5755041 -6.22331770 1.10385701 2.9660962 -2.88734373 3.5754715
## 641 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 642 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 643 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 644 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 645 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 646 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 647 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 648 -2.0886248 3.13373472 -0.49446361 10.4935553 8.05903595 -5.5524727
## 649 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 650 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 651 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 652 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 653 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 654 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 655 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 656 1.9640293 -10.83635231 0.56337651 0.6771519 -0.62421210 3.6225743
## 657 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 658 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 659 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 660 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 661 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 662 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 663 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 664 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380 -1.8532327
## 665 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 666 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 667 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 668 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 669 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 670 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 671 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 672 21.4705217 0.17917378 -1.86172271 -5.3707453 -5.47747313 -14.4387676
## 673 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 674 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 675 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 676 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 677 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 678 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 679 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 680 -0.1716721 -1.64445439 0.47770641 3.5755996 1.41348355 2.1395006
## 681 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 682 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 683 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 684 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 685 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 686 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 687 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 688 -37.7137010 -16.61623838 35.62747686 17.3650547 -36.90352777 -31.7204686
## 689 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 690 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 691 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 692 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 693 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 694 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 695 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 696 1.3894087 -0.33280110 1.06584543 -2.1290968 -4.30815204 4.1548918
## 697 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 698 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 699 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 700 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 701 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 702 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 703 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 704 -4.9923315 9.16488464 -7.75270602 -23.9535871 48.57033878 48.4805343
## 705 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 706 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 707 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 708 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 709 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 710 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 711 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 712 0.5613564 -2.06318687 0.84337419 -0.4657393 -0.61200774 1.3054684
## 713 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 714 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 715 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 716 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 717 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 718 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 719 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 720 0.0141480 -3.04211248 -4.75531462 -2.4484759 0.86587822 -2.9144653
## 721 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 722 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 723 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 724 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 725 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 726 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 727 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 728 -1.1816217 3.41871600 -4.86238538 -3.3503523 -7.96600290 1.3825039
## 729 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 730 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 731 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 732 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 733 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 734 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 735 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 736 6.8888291 -0.18460722 -11.69370521 0.9757445 5.51098217 1.2719832
## 737 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 738 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 739 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 740 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 741 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 742 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 743 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 744 4.9367450 -0.08149376 3.44079529 6.6646034 -4.09819153 3.8678295
## 745 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 746 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 747 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 748 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 749 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 750 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 751 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 752 6.2109939 -0.35632063 -9.35976217 6.9405961 -5.03341276 8.7399438
## 753 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 754 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 755 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 756 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 757 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 758 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 759 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 760 6.0352938 1.36836053 -4.58203496 6.7449550 -6.41806538 3.5612082
## 761 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 762 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 763 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 764 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 765 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 766 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 767 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 768 1.0725309 -8.26473859 -4.42187568 3.6318935 -12.11736085 -1.0644291
## 769 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 770 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 771 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 772 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 773 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 774 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 775 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 776 2.1750187 -3.29818125 2.20030276 1.0707755 -5.08004248 -2.3639207
## 777 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 778 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 779 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 780 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 781 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 782 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 783 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 784 13.9310194 3.68268238 -4.87999478 -7.9609431 8.83431328 -5.6815076
## 785 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 786 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 787 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 788 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 789 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 790 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 791 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 792 14.8201825 -1.24030365 0.19170273 2.8249534 0.05293847 -4.5842197
## 793 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 794 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 795 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 796 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 797 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 798 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## 799 3.4414509 108.43725848 -6.23367857 22.1362733 5.83758504 -17.1790796
## PC37_score PC38_score PC39_score PC40_score PC41_score PC42_score
## 1 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 2 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 3 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 4 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 5 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 6 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 7 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 8 1.71656931 -2.91296701 -4.5780192 2.5863894 -7.57925123 1.77447096
## 9 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 10 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 11 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 12 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 13 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 14 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 15 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 16 -0.61615187 1.30927915 5.4474378 -2.4210667 2.16409333 2.93087257
## 17 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 18 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 19 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 20 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 21 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 22 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 23 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 24 11.02578589 -3.12001230 -47.6204693 3.9339406 -29.94574123 4.10572666
## 25 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 26 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 27 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 28 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 29 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 30 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 31 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 32 -16.93544886 6.19216214 16.9105731 -12.1526915 -1.14565116 3.76641703
## 33 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 34 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 35 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 36 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 37 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 38 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 39 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 40 -5.98938032 -12.05110738 8.9904575 10.3279067 -6.58011122 9.63153406
## 41 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 42 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 43 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 44 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 45 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 46 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 47 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 48 -0.64058280 -0.30190418 6.1022731 -1.6393335 -2.08446719 2.46453712
## 49 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 50 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 51 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 52 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 53 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 54 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 55 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 56 7.83483505 14.80212864 -2.8404289 -15.0933771 -3.82833449 8.39343980
## 57 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 58 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 59 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 60 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 61 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 62 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 63 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 64 -3.22920141 -27.99152721 19.2682455 7.0533055 -35.78834874 -12.61735132
## 65 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 66 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 67 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 68 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 69 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 70 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 71 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 72 -24.96756589 -5.88588262 10.6623349 24.0092933 28.49457663 14.76203361
## 73 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 74 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 75 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 76 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 77 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 78 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 79 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 80 -6.96907832 -17.60207507 10.0257314 -6.3164727 -11.54629552 15.68933265
## 81 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 82 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 83 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 84 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 85 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 86 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 87 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 88 -5.63238247 -5.62256905 1.4638318 0.7319429 2.90169911 -7.28369555
## 89 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 90 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 91 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 92 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 93 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 94 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 95 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 96 -57.05997225 -15.12227496 12.7626359 -30.5041185 36.00189677 1.90262753
## 97 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 98 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 99 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 100 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 101 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 102 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 103 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 104 -2.14424260 -17.56825813 12.3302271 -2.0433278 -3.22152529 -7.89444334
## 105 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 106 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 107 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 108 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 109 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 110 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 111 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 112 -2.77177942 -0.02335653 -9.0390213 3.7539385 -3.92815632 2.02559209
## 113 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 114 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 115 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 116 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 117 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 118 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 119 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 120 0.30737016 2.94857372 2.4934882 -4.8476371 -3.15364274 -5.93641317
## 121 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 122 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 123 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 124 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 125 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 126 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 127 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 128 18.51559271 -20.31894811 -2.0022219 -16.0530140 10.87253634 -30.71523246
## 129 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 130 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 131 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 132 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 133 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 134 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 135 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 136 0.04220093 -21.84861607 23.1128884 -0.8518280 -13.23501917 -12.07596323
## 137 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 138 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 139 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 140 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 141 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 142 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 143 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 144 -2.86204781 6.37160035 3.5204547 -2.2620095 -4.17307471 5.27654646
## 145 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 146 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 147 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 148 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 149 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 150 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 151 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 152 -8.36785392 7.27514272 -4.0475331 11.0099551 -7.17286935 6.89186901
## 153 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 154 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 155 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 156 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 157 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 158 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 159 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 160 -1.81620096 0.40165678 -9.6757677 0.8505115 -2.32794156 -2.71663355
## 161 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 162 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 163 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 164 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 165 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 166 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 167 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 168 -3.71353348 0.27680587 2.1324280 -0.5225462 0.12028836 3.14622057
## 169 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 170 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 171 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 172 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 173 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 174 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 175 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 176 1.33319644 0.61360573 0.4555107 3.1463313 0.84949998 -1.70807378
## 177 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 178 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 179 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 180 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 181 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 182 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 183 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 184 -11.21439623 5.03638983 -0.8174671 0.4137547 1.98214961 -0.50719329
## 185 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 186 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 187 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 188 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 189 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 190 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 191 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 192 4.49642199 -2.53470134 -7.6592201 5.5168048 2.14905434 -1.41599867
## 193 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 194 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 195 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 196 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 197 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 198 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 199 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 200 -13.47406649 -4.67332303 -11.3328491 -3.7644914 -15.59172297 -28.77408467
## 201 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 202 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 203 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 204 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 205 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 206 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 207 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 208 20.24356750 16.26184763 10.0418433 -7.8944790 0.09037259 3.65426195
## 209 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 210 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 211 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 212 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 213 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 214 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 215 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 216 -2.57857461 2.43817405 6.7433531 0.5448607 0.73402747 -0.39664835
## 217 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 218 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 219 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 220 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 221 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 222 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 223 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 224 4.43830164 0.06677064 1.1425880 -1.1148504 3.72273554 -1.26822165
## 225 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 226 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 227 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 228 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 229 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 230 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 231 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 232 0.18788915 1.48212127 2.9984645 -1.6163501 -2.60754865 4.09762678
## 233 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 234 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 235 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 236 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 237 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 238 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 239 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 240 34.84594305 -12.26041203 -8.0147154 26.1551887 -16.44674562 23.58075914
## 241 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 242 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 243 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 244 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 245 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 246 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 247 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 248 -7.29161781 1.48025857 5.6805993 18.7506682 -7.74631449 -7.66277226
## 249 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 250 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 251 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 252 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 253 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 254 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 255 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 256 -8.89341805 -10.66569656 7.9089167 3.3712594 -4.94245296 5.59548763
## 257 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 258 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 259 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 260 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 261 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 262 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 263 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 264 -8.72430498 -3.53036943 -2.5871307 -3.6983543 -1.88746780 -2.43593142
## 265 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 266 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 267 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 268 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 269 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 270 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 271 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 272 -2.18750932 0.40530442 13.9171059 19.3174578 -8.34846061 12.36203947
## 273 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 274 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 275 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 276 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 277 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 278 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 279 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 280 32.18072192 4.24298877 1.1292724 -25.4969095 -9.57637912 9.34209225
## 281 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 282 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 283 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 284 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 285 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 286 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 287 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 288 48.36251309 8.16308287 -8.6318938 58.9150528 51.62378370 -16.80570697
## 289 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 290 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 291 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 292 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 293 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 294 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 295 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 296 3.09860161 -1.17878561 10.0855686 -11.2511567 0.99139882 1.11587316
## 297 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 298 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 299 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 300 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 301 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 302 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 303 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 304 2.88475430 4.17071795 3.3548605 -3.6756537 -4.24531824 2.74455729
## 305 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 306 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 307 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 308 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 309 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 310 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 311 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 312 -3.72162589 6.33793809 1.2087105 1.5803658 -4.64774028 1.93399950
## 313 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 314 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 315 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 316 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 317 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 318 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 319 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 320 -34.73516239 -7.99839772 7.1288923 31.6211579 -41.94389439 8.03717283
## 321 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 322 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 323 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 324 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 325 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 326 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 327 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 328 43.86689820 1.88059422 37.3046630 -49.5640542 10.52173773 8.25650468
## 329 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 330 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 331 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 332 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 333 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 334 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 335 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 336 -5.51584375 0.41337138 -2.2797589 -11.9444079 2.16111625 -1.67313781
## 337 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 338 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 339 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 340 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 341 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 342 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 343 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 344 23.62378763 -19.09356480 -6.5965092 -4.0579635 41.87578895 9.20648144
## 345 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 346 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 347 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 348 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 349 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 350 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 351 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 352 -11.66294394 -12.66849479 -5.1262120 -21.1075229 16.54716734 22.62829252
## 353 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 354 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 355 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 356 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 357 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 358 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 359 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 360 0.52083477 2.24734167 2.3877101 -4.4206472 5.23925633 -7.14963380
## 361 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 362 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 363 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 364 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 365 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 366 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 367 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 368 4.27579941 -4.28783735 -6.6273008 -7.7783782 9.41137311 0.12551691
## 369 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 370 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 371 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 372 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 373 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 374 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 375 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 376 -9.36984068 7.72447057 -5.3040622 0.3610367 -1.92069684 9.18733036
## 377 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 378 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 379 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 380 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 381 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 382 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 383 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 384 0.10993913 1.54690194 10.4184441 -4.7746056 -4.52765904 9.58092319
## 385 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 386 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 387 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 388 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 389 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 390 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 391 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 392 -1.78622468 5.46183537 3.3431702 1.4540549 -4.24333244 4.16141101
## 393 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 394 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 395 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 396 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 397 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 398 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 399 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 400 -2.36152332 2.07317577 1.3982937 2.2322529 -2.60891325 -2.42853082
## 401 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 402 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 403 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 404 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 405 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 406 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 407 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 408 -19.32880083 -3.14092363 27.1954654 45.0191819 1.24531482 -59.96680106
## 409 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 410 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 411 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 412 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 413 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 414 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 415 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 416 -12.98541115 12.36508490 -4.9473120 29.3834539 7.06828054 8.80392882
## 417 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 418 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 419 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 420 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 421 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 422 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 423 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 424 2.09780630 4.13554406 0.6491224 4.7541377 5.16652990 0.26274746
## 425 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 426 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 427 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 428 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 429 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 430 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 431 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 432 3.43273053 19.52593383 -17.8951998 -22.7677874 20.85565482 -77.05979282
## 433 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 434 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 435 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 436 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 437 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 438 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 439 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 440 -7.29474698 8.64389089 -9.7127864 4.7052447 3.76341903 0.18077034
## 441 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 442 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 443 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 444 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 445 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 446 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 447 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 448 1.20438395 -3.99137800 1.1840499 3.8002325 -2.13730447 7.79922632
## 449 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 450 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 451 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 452 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 453 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 454 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 455 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 456 6.60097392 8.11580002 3.9312709 4.6532590 5.83620990 1.64322411
## 457 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 458 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 459 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 460 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 461 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 462 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 463 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 464 -2.80666566 11.53620923 -10.7868636 -2.2694740 16.24323427 2.94628542
## 465 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 466 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 467 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 468 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 469 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 470 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 471 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 472 -4.09863013 -0.77003531 2.1104900 -11.7213314 4.98838015 26.13928548
## 473 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 474 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 475 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 476 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 477 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 478 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 479 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 480 0.39435931 -17.86835734 -0.5255563 -6.9590603 -18.40119360 3.93460087
## 481 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 482 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 483 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 484 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 485 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 486 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 487 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 488 3.75308780 13.20779630 8.3652312 6.4696130 -3.39343533 -0.34715969
## 489 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 490 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 491 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 492 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 493 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 494 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 495 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 496 -4.20537005 -3.77705283 -4.9459837 -1.8506819 2.39669878 -1.91398190
## 497 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 498 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 499 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 500 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 501 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 502 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 503 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 504 -4.88358007 -1.23846374 1.8639014 -4.1731798 -0.86569713 -0.73627792
## 505 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 506 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 507 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 508 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 509 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 510 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 511 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 512 7.64550103 -5.30683892 3.4250234 4.1079470 3.44446551 -6.86691407
## 513 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 514 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 515 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 516 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 517 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 518 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 519 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 520 18.54222830 0.44864596 64.7484804 -19.7060968 8.10361630 -30.79591057
## 521 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 522 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 523 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 524 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 525 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 526 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 527 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 528 16.85178773 -5.39095525 13.0065227 24.8410355 -7.78697638 7.80004805
## 529 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 530 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 531 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 532 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 533 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 534 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 535 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 536 0.55233069 -10.64702403 -3.6011349 -6.0875362 -24.97829493 -7.97075756
## 537 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 538 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 539 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 540 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 541 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 542 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 543 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 544 -8.16509901 10.57993795 -8.3545506 -5.4680240 3.54404056 -7.05573164
## 545 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 546 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 547 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 548 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 549 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 550 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 551 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 552 -2.61620332 2.66472521 -1.4349714 4.5892663 -0.53192646 -2.98936112
## 553 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 554 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 555 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 556 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 557 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 558 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 559 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 560 -8.15611516 -9.06444768 -32.7275148 0.7625830 20.81216325 -5.43766206
## 561 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 562 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 563 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 564 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 565 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 566 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 567 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 568 -0.77731440 6.07021445 4.1349936 12.3881307 -3.09912445 6.59687200
## 569 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 570 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 571 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 572 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 573 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 574 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 575 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 576 -3.29463081 6.42873515 0.5095732 -0.3189333 -2.80909302 1.24677030
## 577 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 578 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 579 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 580 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 581 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 582 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 583 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 584 0.16500549 0.05598154 -3.9541398 -6.7198549 -7.72666373 1.44159484
## 585 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 586 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 587 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 588 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 589 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 590 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 591 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 592 -0.24508941 -7.60253147 -5.4552200 0.6172948 2.42126074 1.23003386
## 593 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 594 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 595 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 596 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 597 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 598 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 599 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 600 -5.40586129 -4.78414633 -8.3090232 5.5454163 0.44154668 -1.07946106
## 601 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 602 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 603 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 604 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 605 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 606 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 607 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 608 2.24000814 6.09944525 -4.0421328 -3.0678907 -2.76622772 0.23142551
## 609 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 610 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 611 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 612 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 613 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 614 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 615 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 616 -2.80216121 6.14228760 -2.3862130 0.9012980 2.20539186 1.23292122
## 617 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 618 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 619 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 620 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 621 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 622 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 623 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 624 8.70826695 6.29201516 3.3645369 1.3482310 -9.09699722 12.52625797
## 625 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 626 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 627 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 628 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 629 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 630 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 631 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 632 -14.74344061 10.75470073 -17.4068753 -20.2954324 -6.85856252 -21.76177687
## 633 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 634 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 635 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 636 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 637 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 638 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 639 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 640 -1.76478372 3.59323430 4.2168017 4.0711308 -3.42813781 -0.87744974
## 641 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 642 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 643 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 644 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 645 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 646 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 647 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 648 3.38232580 -10.96379648 -4.8330986 12.7588781 -3.96193890 -2.22689897
## 649 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 650 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 651 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 652 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 653 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 654 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 655 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 656 0.37858917 15.76645465 -12.7666734 -10.1555714 -3.38107906 -15.60834333
## 657 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 658 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 659 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 660 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 661 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 662 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 663 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 664 -29.13120644 26.48810685 -46.3810626 -30.7421531 0.86484292 -4.33229869
## 665 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 666 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 667 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 668 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 669 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 670 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 671 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 672 22.07151850 -4.13382349 19.3160551 -18.4920647 -1.51892957 9.90603570
## 673 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 674 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 675 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 676 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 677 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 678 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 679 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 680 5.02762404 7.93469159 -7.2667253 -4.6250696 1.25113195 -1.83424999
## 681 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 682 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 683 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 684 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 685 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 686 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 687 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 688 -25.26696156 -11.76399082 34.2793480 2.0962297 26.76179418 6.80889949
## 689 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 690 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 691 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 692 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 693 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 694 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 695 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 696 0.99165866 2.96176509 1.6292421 -1.5882049 -4.67152249 1.42616498
## 697 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 698 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 699 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 700 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 701 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 702 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 703 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 704 21.12604341 28.92623098 -10.6848932 6.5720259 -42.38529581 -11.52499797
## 705 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 706 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 707 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 708 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 709 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 710 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 711 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 712 -0.58150633 3.99549615 -1.4827168 -2.9546528 0.33824413 2.42533873
## 713 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 714 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 715 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 716 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 717 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 718 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 719 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 720 0.62324824 4.17946203 -3.7187044 2.2126682 2.08406023 -0.02731053
## 721 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 722 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 723 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 724 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 725 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 726 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 727 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 728 6.11338075 3.06367154 -2.9870190 2.5499825 -1.13547123 4.15664571
## 729 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 730 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 731 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 732 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 733 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 734 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 735 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 736 3.45371709 -0.31656471 -1.8344416 0.7189883 -1.42411214 1.82147811
## 737 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 738 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 739 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 740 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 741 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 742 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 743 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 744 0.89181000 9.44557083 1.6599640 2.0342058 -0.97987374 -0.63891980
## 745 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 746 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 747 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 748 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 749 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 750 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 751 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 752 -2.48056934 3.34267863 4.9642185 4.9808831 1.74338505 -0.22523323
## 753 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 754 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 755 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 756 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 757 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 758 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 759 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 760 -10.21890369 6.90945684 -6.6585077 -3.0490790 11.44159590 -3.27870635
## 761 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 762 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 763 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 764 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 765 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 766 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 767 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 768 -5.92548637 11.14366763 -10.0401924 1.4278316 5.08092314 8.92525011
## 769 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 770 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 771 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 772 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 773 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 774 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 775 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 776 -4.18574047 4.84592926 2.4745709 2.7517429 -0.55616263 6.09562970
## 777 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 778 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 779 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 780 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 781 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 782 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 783 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 784 5.99554234 8.34675720 -4.9373777 21.0376374 35.24682492 26.64010487
## 785 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 786 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 787 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 788 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 789 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 790 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 791 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 792 0.16169884 4.87776753 4.4480427 -6.7809987 -5.45415954 -2.18162132
## 793 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 794 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 795 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 796 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 797 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 798 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## 799 -14.73299314 2.13001687 9.6395260 -20.6649028 -18.41619177 26.25003131
## PC43_score PC44_score PC45_score PC46_score PC47_score
## 1 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 2 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 3 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 4 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 5 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 6 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 7 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 8 15.81394795 5.60901944 -18.224497241 13.75807030 -19.5760814
## 9 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 10 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 11 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 12 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 13 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 14 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 15 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 16 0.42034208 -5.89198219 -2.780549981 3.55271787 4.8409380
## 17 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 18 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 19 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 20 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 21 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 22 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 23 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 24 -14.04889237 16.68215134 -3.693470341 24.09075130 -2.0356434
## 25 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 26 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 27 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 28 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 29 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 30 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 31 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 32 -26.13568495 -36.58243400 -33.321976215 -0.75579357 38.1671989
## 33 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 34 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 35 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 36 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 37 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 38 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 39 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 40 12.57796635 -8.52403813 4.212855189 -25.20593007 -4.6246479
## 41 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 42 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 43 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 44 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 45 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 46 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 47 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 48 -0.50331023 -0.38798339 -11.485238557 3.79952880 5.8375552
## 49 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 50 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 51 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 52 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 53 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 54 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 55 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 56 3.11037735 -3.53175880 9.722431565 -4.66403805 -1.6182561
## 57 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 58 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 59 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 60 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 61 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 62 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 63 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 64 35.18169924 17.70078792 -19.144769950 -19.74038845 -40.9884776
## 65 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 66 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 67 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 68 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 69 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 70 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 71 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 72 25.89336305 -36.04579813 -17.769303341 15.02992455 2.2517859
## 73 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 74 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 75 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 76 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 77 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 78 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 79 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 80 8.25438957 2.99610456 0.451528241 9.72798063 -11.6812940
## 81 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 82 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 83 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 84 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 85 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 86 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 87 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 88 12.77119393 1.24620005 -0.093365727 -4.84718179 4.5077705
## 89 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 90 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 91 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 92 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 93 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 94 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 95 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 96 -7.66627295 9.52797978 17.850910273 -4.87377683 0.3968963
## 97 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 98 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 99 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 100 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 101 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 102 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 103 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 104 34.21016922 -21.94638858 -4.589018538 4.66148686 35.2011784
## 105 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 106 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 107 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 108 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 109 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 110 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 111 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 112 0.73394846 0.22255773 -4.863715361 -15.78527745 -2.1713951
## 113 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 114 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 115 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 116 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 117 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 118 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 119 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 120 0.33041294 6.49175989 12.500640740 3.72469921 11.0651022
## 121 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 122 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 123 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 124 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 125 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 126 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 127 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 128 -37.32071868 -42.12648832 38.384284692 -7.44374242 11.8056803
## 129 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 130 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 131 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 132 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 133 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 134 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 135 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 136 19.63018622 -3.94896137 8.788715679 -27.58398477 11.5898879
## 137 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 138 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 139 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 140 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 141 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 142 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 143 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 144 4.22247909 0.94505685 2.859509922 -0.83436197 -2.1017805
## 145 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 146 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 147 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 148 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 149 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 150 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 151 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 152 3.03599562 3.46980438 -10.161021427 -3.34828209 -9.6626148
## 153 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 154 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 155 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 156 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 157 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 158 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 159 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 160 3.84309566 -2.43632896 -0.199646552 -2.36392264 1.1394821
## 161 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 162 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 163 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 164 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 165 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 166 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 167 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 168 1.93737790 17.11700069 -5.764693074 0.47461371 12.6080627
## 169 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 170 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 171 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 172 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 173 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 174 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 175 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 176 -2.65756361 -1.27543881 -2.017202951 0.08766163 4.8370853
## 177 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 178 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 179 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 180 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 181 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 182 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 183 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 184 -2.81606210 -3.16517279 -4.135980662 0.60934514 -3.6258639
## 185 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 186 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 187 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 188 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 189 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 190 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 191 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 192 6.94131728 4.93856454 2.572855764 1.54767829 -6.2123188
## 193 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 194 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 195 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 196 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 197 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 198 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 199 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 200 -1.74971193 31.32837861 8.682690074 48.60926097 0.4735130
## 201 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 202 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 203 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 204 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 205 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 206 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 207 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 208 -7.95663076 -25.43956528 -3.412281965 3.57036068 -7.5707876
## 209 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 210 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 211 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 212 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 213 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 214 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 215 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 216 -1.19826976 -6.44492291 -0.427527275 2.27422228 4.0786465
## 217 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 218 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 219 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 220 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 221 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 222 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 223 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 224 -0.01919048 3.32105497 -0.612187450 1.50288043 0.8970403
## 225 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 226 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 227 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 228 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 229 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 230 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 231 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 232 0.72042036 0.64941073 1.019942851 -2.56975366 4.1571872
## 233 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 234 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 235 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 236 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 237 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 238 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 239 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 240 -20.09552418 -12.13248221 7.636614501 2.87579171 -1.1903155
## 241 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 242 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 243 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 244 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 245 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 246 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 247 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 248 12.14413256 7.36872951 -1.356890933 -13.40129772 20.1691437
## 249 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 250 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 251 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 252 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 253 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 254 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 255 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 256 8.84533383 6.94737715 -6.380619810 -33.03570208 2.0431675
## 257 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 258 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 259 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 260 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 261 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 262 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 263 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 264 -3.44885388 5.69719013 1.918728287 -3.79581052 3.2903072
## 265 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 266 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 267 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 268 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 269 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 270 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 271 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 272 13.21325116 26.92696718 -23.490959982 -4.33334318 8.6897395
## 273 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 274 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 275 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 276 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 277 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 278 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 279 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 280 -23.62562284 -5.69231672 -47.698360735 8.27448146 -50.3451152
## 281 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 282 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 283 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 284 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 285 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 286 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 287 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 288 -16.03207543 12.03105482 -30.574685553 -34.81101699 19.0791285
## 289 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 290 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 291 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 292 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 293 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 294 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 295 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 296 -1.26101109 -9.42681221 -3.914842317 1.26344737 1.3257592
## 297 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 298 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 299 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 300 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 301 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 302 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 303 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 304 0.24836791 0.01068608 -0.710605818 -1.95064031 -2.2830106
## 305 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 306 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 307 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 308 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 309 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 310 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 311 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 312 -0.09732674 5.83874264 -1.398721300 -4.07463397 6.4733703
## 313 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 314 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 315 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 316 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 317 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 318 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 319 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 320 -54.87821462 7.50212419 35.160940948 -48.89900325 -14.3702525
## 321 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 322 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 323 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 324 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 325 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 326 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 327 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 328 40.54755270 30.35354167 38.804363635 -4.73591357 15.3126506
## 329 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 330 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 331 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 332 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 333 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 334 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 335 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 336 -11.72209862 -1.21252900 -0.310327247 5.17506072 -8.6759372
## 337 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 338 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 339 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 340 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 341 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 342 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 343 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 344 -4.57337016 -5.55724941 -3.555656706 3.84041280 5.7252735
## 345 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 346 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 347 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 348 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 349 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 350 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 351 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 352 -16.13845445 -13.18277069 -5.686939628 -7.55926534 23.6652368
## 353 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 354 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 355 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 356 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 357 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 358 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 359 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 360 0.09354434 -8.72579284 -8.784448855 11.72451696 14.4713127
## 361 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 362 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 363 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 364 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 365 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 366 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 367 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 368 -7.01022604 7.31590918 -3.600914097 5.57949691 -1.0509405
## 369 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 370 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 371 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 372 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 373 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 374 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 375 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 376 4.39966945 9.07246959 -10.798220208 10.52638737 1.1475848
## 377 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 378 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 379 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 380 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 381 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 382 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 383 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 384 9.30628616 -5.26483339 -11.562355513 0.59583893 1.5107706
## 385 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 386 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 387 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 388 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 389 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 390 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 391 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 392 0.98374201 1.42626405 -0.348425558 0.84610825 -4.4592439
## 393 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 394 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 395 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 396 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 397 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 398 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 399 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 400 2.83879771 -3.13365407 -1.154906546 3.98235295 -3.6128430
## 401 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 402 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 403 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 404 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 405 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 406 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 407 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 408 8.82000067 -38.02769360 19.429257682 45.45608749 -29.7132228
## 409 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 410 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 411 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 412 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 413 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 414 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 415 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 416 6.45214877 21.21160764 1.800140239 14.15142942 33.3797280
## 417 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 418 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 419 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 420 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 421 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 422 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 423 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 424 5.64132169 8.94535505 -1.865843968 -5.26215877 9.6275363
## 425 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 426 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 427 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 428 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 429 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 430 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 431 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 432 -10.32459187 32.86070054 -21.142914977 -39.17356436 -0.5982765
## 433 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 434 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 435 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 436 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 437 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 438 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 439 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 440 -11.11135807 -8.40833279 -1.120449524 18.48960353 0.7824495
## 441 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 442 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 443 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 444 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 445 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 446 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 447 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 448 -1.77641008 -8.22680365 2.697848421 1.14068087 2.6467389
## 449 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 450 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 451 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 452 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 453 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 454 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 455 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 456 8.02048608 -0.04216746 0.769572392 1.01091902 3.2517998
## 457 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 458 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 459 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 460 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 461 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 462 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 463 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 464 -12.87539347 -1.95697856 0.416910315 15.30042644 -1.5684226
## 465 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 466 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 467 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 468 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 469 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 470 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 471 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 472 -30.72214883 -1.14712572 -22.752040651 18.51317754 -8.2456251
## 473 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 474 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 475 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 476 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 477 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 478 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 479 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 480 4.42054407 6.06591513 -0.173274797 -2.45154680 -0.0249724
## 481 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 482 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 483 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 484 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 485 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 486 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 487 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 488 -6.88123161 -3.73678572 0.444241316 -9.08840838 0.7104148
## 489 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 490 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 491 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 492 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 493 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 494 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 495 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 496 -5.66449575 -5.21181171 8.523336365 -3.30348037 5.3638753
## 497 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 498 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 499 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 500 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 501 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 502 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 503 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 504 -3.65108078 0.94356922 -2.121851166 3.81260277 -5.1421740
## 505 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 506 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 507 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 508 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 509 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 510 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 511 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 512 7.86225440 -2.08110260 3.051431622 2.92792668 -6.1221127
## 513 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 514 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 515 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 516 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 517 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 518 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 519 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 520 -16.08482994 -5.80380092 -14.261784214 6.70193868 -23.0643719
## 521 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 522 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 523 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 524 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 525 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 526 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 527 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 528 7.39359366 4.45147533 -1.328994169 13.89918350 4.4648924
## 529 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 530 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 531 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 532 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 533 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 534 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 535 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 536 2.09433506 -8.79853102 -1.302020859 -13.97273149 -8.7481654
## 537 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 538 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 539 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 540 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 541 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 542 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 543 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 544 -8.58437061 5.68708473 -0.931527549 -29.23883972 -21.0840521
## 545 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 546 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 547 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 548 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 549 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 550 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 551 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 552 8.01658796 0.88252427 -2.663037155 -6.21477344 1.6523037
## 553 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 554 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 555 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 556 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 557 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 558 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 559 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 560 24.49247866 5.61116123 3.008832899 -3.25029731 -18.4941551
## 561 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 562 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 563 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 564 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 565 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 566 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 567 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 568 -4.98623007 4.75840141 -3.823697845 18.78499484 1.3267333
## 569 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 570 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 571 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 572 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 573 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 574 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 575 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 576 -5.67767835 -1.34485025 1.919400395 0.22451705 -1.0402740
## 577 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 578 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 579 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 580 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 581 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 582 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 583 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 584 -12.96884929 13.87079683 -0.008735492 12.11484068 -0.7532876
## 585 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 586 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 587 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 588 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 589 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 590 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 591 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 592 0.51842805 -0.20702745 5.776128353 0.25396131 -4.8154664
## 593 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 594 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 595 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 596 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 597 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 598 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 599 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 600 -1.11346053 8.60743951 2.109511782 3.99140781 -3.2885246
## 601 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 602 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 603 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 604 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 605 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 606 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 607 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 608 4.68848278 9.03987679 1.664868821 1.80423882 -7.5513063
## 609 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 610 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 611 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 612 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 613 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 614 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 615 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 616 0.05903760 1.08935083 0.062388820 1.54538172 2.5898737
## 617 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 618 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 619 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 620 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 621 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 622 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 623 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 624 -9.72702685 21.66255821 -19.053983822 6.65875959 15.8226550
## 625 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 626 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 627 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 628 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 629 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 630 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 631 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 632 7.40119446 12.92963420 16.119049693 8.93561250 9.3796666
## 633 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 634 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 635 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 636 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 637 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 638 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 639 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 640 3.95244382 9.11223804 -4.887927263 1.33745861 10.2296127
## 641 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 642 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 643 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 644 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 645 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 646 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 647 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 648 4.01773834 2.70601277 -2.375860502 -5.08875986 4.7901178
## 649 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 650 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 651 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 652 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 653 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 654 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 655 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 656 -17.36073304 7.62535794 5.078476927 18.92715820 -9.2221835
## 657 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 658 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 659 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 660 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 661 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 662 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 663 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 664 36.08765890 -47.02798610 -31.001962851 -22.89907745 -9.2817230
## 665 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 666 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 667 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 668 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 669 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 670 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 671 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 672 -7.47826597 14.82312642 12.511163067 6.37191576 10.3912064
## 673 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 674 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 675 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 676 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 677 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 678 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 679 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 680 -0.37462424 6.48035561 7.267521716 6.42936936 0.4813220
## 681 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 682 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 683 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 684 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 685 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 686 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 687 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 688 -17.35509081 4.11433887 -10.677105995 -2.45799704 -7.0444054
## 689 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 690 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 691 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 692 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 693 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 694 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 695 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 696 -1.39240941 1.65322377 3.327149279 -1.39466055 1.7794294
## 697 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 698 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 699 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 700 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 701 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 702 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 703 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 704 12.95136444 -36.66680277 15.022919447 -14.97540777 25.6203415
## 705 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 706 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 707 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 708 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 709 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 710 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 711 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 712 1.23139325 1.26701121 1.703470726 -1.38938461 -2.6703454
## 713 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 714 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 715 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 716 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 717 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 718 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 719 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 720 -5.78589841 2.91649533 8.806403630 0.16101465 -7.4252592
## 721 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 722 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 723 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 724 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 725 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 726 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 727 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 728 -1.33169721 -1.02580526 -4.564695136 4.51973697 3.6644417
## 729 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 730 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 731 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 732 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 733 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 734 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 735 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 736 -3.26821289 0.78720295 -8.634911136 -2.65686500 -0.5243517
## 737 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 738 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 739 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 740 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 741 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 742 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 743 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 744 -0.95093180 -7.03359189 3.545178571 5.04575653 1.0931452
## 745 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 746 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 747 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 748 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 749 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 750 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 751 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 752 0.98604035 2.32327430 10.299125522 2.29250521 2.6041988
## 753 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 754 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 755 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 756 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 757 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 758 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 759 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 760 11.37829252 12.98751888 10.604369058 12.45354271 1.3633266
## 761 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 762 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 763 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 764 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 765 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 766 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 767 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 768 0.32790375 -5.56693347 9.841365404 -1.52474392 7.5184038
## 769 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 770 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 771 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 772 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 773 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 774 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 775 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 776 -11.87042788 -4.75473327 17.203460657 11.12597696 2.5706674
## 777 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 778 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 779 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 780 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 781 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 782 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 783 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 784 31.23975266 1.69415332 12.190836745 -0.45107374 -44.5168638
## 785 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 786 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 787 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 788 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 789 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 790 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 791 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 792 4.25199670 2.21311466 -3.608575865 0.31456687 -8.5651866
## 793 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 794 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 795 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 796 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 797 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 798 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## 799 -2.66041789 -1.16403624 -15.369294474 -7.29775393 10.2052013
## PC48_score PC49_score PC50_score PC51_score PC52_score
## 1 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 2 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 3 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 4 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 5 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 6 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 7 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 8 -7.40795133 1.1267371 -0.2038719 1.813502125 5.39306945
## 9 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 10 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 11 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 12 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 13 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 14 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 15 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 16 -5.78605659 -5.5890871 -0.5274712 -2.111850087 -2.77873522
## 17 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 18 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 19 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 20 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 21 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 22 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 23 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 24 14.67304311 -21.5773289 10.7871279 -16.151350356 10.25049674
## 25 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 26 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 27 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 28 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 29 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 30 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 31 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 32 -10.23329114 -40.4424275 -39.9928677 -17.166504260 23.71356288
## 33 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 34 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 35 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 36 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 37 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 38 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 39 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 40 14.10470894 1.4785556 -12.4506423 0.782386118 -7.53007782
## 41 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 42 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 43 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 44 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 45 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 46 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 47 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 48 -1.94144247 -3.2349079 -5.7706157 0.186559494 4.17645395
## 49 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 50 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 51 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 52 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 53 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 54 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 55 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 56 12.08911127 -4.8841024 11.7561250 -5.572095562 -1.81617176
## 57 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 58 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 59 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 60 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 61 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 62 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 63 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 64 -2.95831855 -3.8978300 -3.0808101 10.224804249 -38.61528140
## 65 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 66 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 67 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 68 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 69 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 70 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 71 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 72 -31.46813866 -32.0875292 23.4991646 -16.061822581 -20.04460285
## 73 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 74 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 75 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 76 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 77 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 78 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 79 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 80 -26.12112043 4.7191204 -18.0727273 16.991352753 1.40158782
## 81 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 82 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 83 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 84 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 85 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 86 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 87 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 88 -3.69726284 -0.3753931 -5.2005831 3.239602297 11.24655902
## 89 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 90 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 91 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 92 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 93 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 94 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 95 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 96 5.19510095 8.6805137 11.1104299 -5.342902567 12.19729443
## 97 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 98 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 99 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 100 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 101 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 102 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 103 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 104 3.63093740 47.9069494 24.5865608 40.230104565 15.45924083
## 105 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 106 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 107 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 108 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 109 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 110 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 111 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 112 -0.05743760 -2.2577160 -8.2049298 3.047975367 -4.63809507
## 113 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 114 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 115 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 116 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 117 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 118 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 119 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 120 -2.40877503 -0.8448478 2.5629348 6.475113263 0.71491241
## 121 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 122 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 123 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 124 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 125 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 126 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 127 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 128 28.93278302 10.2537367 9.3065797 24.539578106 -27.14084377
## 129 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 130 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 131 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 132 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 133 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 134 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 135 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 136 2.76716481 43.7660174 1.5616466 -9.465559941 15.02028460
## 137 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 138 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 139 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 140 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 141 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 142 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 143 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 144 2.76198842 1.4324900 1.0571717 -0.898172636 -4.46707891
## 145 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 146 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 147 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 148 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 149 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 150 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 151 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 152 -7.28968322 5.6511794 -21.2129130 -6.044327015 20.61144050
## 153 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 154 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 155 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 156 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 157 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 158 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 159 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 160 0.20886520 0.5681308 -1.7773805 1.152466126 0.09027513
## 161 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 162 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 163 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 164 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 165 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 166 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 167 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 168 -16.45017015 4.7281025 1.2505528 1.847699480 -3.52640575
## 169 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 170 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 171 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 172 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 173 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 174 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 175 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 176 -6.44645629 -0.8431642 2.3436191 7.018378789 3.28274090
## 177 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 178 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 179 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 180 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 181 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 182 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 183 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 184 1.46918952 -0.6018677 2.0874533 7.284897035 -1.73940719
## 185 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 186 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 187 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 188 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 189 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 190 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 191 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 192 1.84125628 -1.1879779 5.0535869 -2.593411894 2.97113352
## 193 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 194 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 195 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 196 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 197 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 198 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 199 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 200 -49.98811418 18.0212388 16.0706981 -17.150547530 -15.17688729
## 201 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 202 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 203 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 204 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 205 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 206 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 207 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 208 -5.05228617 -0.7836800 -18.6335371 0.784691009 -3.67403808
## 209 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 210 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 211 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 212 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 213 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 214 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 215 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 216 3.37668143 -0.7504685 -1.6831911 -5.536827240 -1.47500975
## 217 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 218 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 219 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 220 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 221 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 222 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 223 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 224 -0.05562216 -0.1576671 1.1006629 -1.085182166 -1.23443021
## 225 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 226 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 227 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 228 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 229 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 230 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 231 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 232 3.95477205 3.8159973 -3.6370522 -1.431250888 -4.24093632
## 233 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 234 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 235 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 236 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 237 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 238 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 239 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 240 1.12398437 -7.7928425 -16.7439478 -5.648530768 16.30953796
## 241 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 242 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 243 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 244 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 245 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 246 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 247 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 248 7.75646720 15.4213796 -8.1722049 19.586084685 11.83322684
## 249 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 250 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 251 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 252 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 253 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 254 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 255 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 256 7.72733597 11.4856372 -19.7463680 -12.569136817 -3.07754766
## 257 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 258 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 259 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 260 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 261 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 262 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 263 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 264 -3.85369833 1.0907646 -1.7849061 2.349770468 1.51018484
## 265 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 266 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 267 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 268 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 269 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 270 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 271 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 272 55.81195151 -27.8802361 18.4775976 -4.664661293 -47.04679071
## 273 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 274 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 275 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 276 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 277 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 278 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 279 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 280 3.30109266 44.3503759 -17.6089239 -0.800368300 -6.73601011
## 281 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 282 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 283 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 284 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 285 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 286 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 287 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 288 -27.92301620 10.7588598 24.0809142 -14.522670814 -24.22957163
## 289 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 290 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 291 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 292 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 293 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 294 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 295 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 296 1.83385360 0.1799231 1.4084115 11.531883978 -5.90513294
## 297 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 298 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 299 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 300 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 301 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 302 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 303 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 304 -0.95676431 1.1719267 -0.2252677 -1.004734460 -8.41288680
## 305 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 306 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 307 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 308 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 309 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 310 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 311 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 312 -1.23249175 3.5200616 -6.4706214 -6.949066662 4.10810669
## 313 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 314 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 315 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 316 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 317 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 318 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 319 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 320 -41.37970437 -22.9067145 34.9259013 8.992049990 14.10581407
## 321 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 322 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 323 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 324 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 325 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 326 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 327 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 328 -11.19286991 -45.3776636 3.4630579 -26.767700443 0.82223921
## 329 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 330 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 331 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 332 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 333 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 334 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 335 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 336 -12.18942105 -1.0164152 7.4705900 -3.016535592 -4.33261664
## 337 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 338 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 339 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 340 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 341 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 342 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 343 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 344 -12.20896820 18.3760758 -6.8537174 -8.795503108 14.10156934
## 345 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 346 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 347 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 348 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 349 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 350 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 351 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 352 11.05028272 7.0372168 23.4033429 -16.936326222 -8.53413558
## 353 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 354 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 355 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 356 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 357 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 358 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 359 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 360 3.25431353 -1.1371175 13.9534701 -0.538029116 -11.85832403
## 361 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 362 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 363 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 364 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 365 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 366 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 367 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 368 1.03643004 6.3574238 1.1638390 0.246529636 -2.44182870
## 369 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 370 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 371 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 372 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 373 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 374 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 375 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 376 14.77814832 1.3200567 9.5166514 2.800546091 -20.00196350
## 377 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 378 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 379 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 380 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 381 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 382 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 383 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 384 -2.07997333 6.0278379 -6.5253134 -27.508838175 17.82719511
## 385 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 386 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 387 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 388 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 389 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 390 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 391 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 392 -0.57746699 -2.2379693 -1.3954469 0.597019879 -2.02697607
## 393 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 394 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 395 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 396 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 397 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 398 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 399 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 400 -0.39507768 1.5193507 3.0254120 3.929751221 4.11731968
## 401 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 402 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 403 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 404 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 405 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 406 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 407 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 408 33.07933695 -9.7280610 -17.6743032 -32.231326014 15.14931924
## 409 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 410 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 411 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 412 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 413 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 414 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 415 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 416 3.02416213 -11.8679036 -58.7790572 56.503721554 -6.03161657
## 417 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 418 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 419 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 420 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 421 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 422 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 423 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 424 -3.74619426 2.5102660 -9.5180977 8.863374345 -4.00500239
## 425 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 426 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 427 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 428 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 429 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 430 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 431 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 432 9.35307067 -17.3338715 1.1087462 9.067118606 31.05154940
## 433 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 434 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 435 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 436 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 437 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 438 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 439 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 440 -2.31043533 -1.5056085 7.6515337 22.885630310 -18.87525390
## 441 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 442 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 443 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 444 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 445 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 446 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 447 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 448 -5.65446189 -1.5121194 -1.9847987 -5.166735181 -1.41589723
## 449 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 450 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 451 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 452 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 453 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 454 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 455 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 456 -1.45884277 -5.7831751 2.4092167 1.161332094 -2.65465755
## 457 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 458 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 459 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 460 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 461 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 462 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 463 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 464 -16.06337239 -13.9536707 -15.3493045 3.096942176 -7.19183243
## 465 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 466 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 467 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 468 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 469 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 470 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 471 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 472 44.46505481 -9.8327895 33.9507886 23.222234430 7.04562126
## 473 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 474 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 475 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 476 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 477 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 478 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 479 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 480 -0.23994422 -12.7575704 -7.1515101 0.623792435 5.64259046
## 481 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 482 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 483 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 484 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 485 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 486 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 487 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 488 4.63445725 7.6546036 -1.3441879 -7.296886833 14.68269550
## 489 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 490 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 491 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 492 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 493 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 494 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 495 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 496 5.48627604 4.6348276 -2.9516808 5.267689030 7.36936739
## 497 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 498 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 499 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 500 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 501 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 502 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 503 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 504 2.69411075 -2.3939635 8.8527370 -6.108358367 1.26226916
## 505 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 506 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 507 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 508 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 509 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 510 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 511 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 512 6.96437252 -0.3248373 -4.0234697 -3.834250578 -8.23934200
## 513 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 514 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 515 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 516 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 517 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 518 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 519 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 520 -22.83678157 -20.8692187 10.4808161 27.990397730 -13.24844880
## 521 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 522 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 523 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 524 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 525 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 526 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 527 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 528 9.90750997 20.7987988 32.6267105 -41.624540459 43.43105944
## 529 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 530 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 531 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 532 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 533 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 534 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 535 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 536 2.13433044 1.1864166 -10.0020604 -5.679414672 0.84701572
## 537 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 538 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 539 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 540 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 541 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 542 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 543 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 544 32.15759708 -12.1402921 -13.5854403 -20.405830209 9.03239190
## 545 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 546 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 547 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 548 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 549 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 550 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 551 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 552 3.81742861 -3.9131228 -6.6302928 -5.980824934 -2.19741818
## 553 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 554 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 555 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 556 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 557 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 558 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 559 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 560 1.89269324 -1.3878659 1.9787857 -1.317879235 0.02711466
## 561 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 562 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 563 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 564 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 565 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 566 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 567 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 568 -6.10147296 0.2146421 1.1031855 1.312491052 -5.75301790
## 569 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 570 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 571 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 572 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 573 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 574 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 575 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 576 -4.91826038 5.7328800 -1.1747641 3.368454206 -3.47289991
## 577 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 578 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 579 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 580 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 581 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 582 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 583 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 584 -4.41994544 -6.5536881 8.0839364 12.383655352 -1.62201297
## 585 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 586 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 587 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 588 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 589 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 590 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 591 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 592 2.57034307 1.1228525 0.5797360 6.231670420 -1.96289643
## 593 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 594 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 595 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 596 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 597 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 598 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 599 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 600 -1.83639472 3.4274832 -1.4271180 0.005283957 2.41651253
## 601 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 602 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 603 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 604 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 605 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 606 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 607 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 608 -3.30060094 1.0158314 2.9847305 2.978271211 3.37864367
## 609 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 610 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 611 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 612 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 613 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 614 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 615 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 616 1.44418158 -1.0328923 -4.6324814 -2.854294360 -3.05610672
## 617 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 618 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 619 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 620 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 621 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 622 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 623 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 624 22.19518848 -6.9362150 2.0532808 -6.306929841 6.63185352
## 625 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 626 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 627 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 628 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 629 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 630 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 631 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 632 16.66383238 15.6751295 -1.9601082 2.174320291 -13.81378489
## 633 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 634 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 635 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 636 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 637 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 638 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 639 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 640 -0.35508870 -1.3573358 -0.4060584 -9.918798636 6.16458148
## 641 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 642 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 643 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 644 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 645 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 646 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 647 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 648 -1.71127460 2.9560465 0.2674997 8.751651326 1.92662896
## 649 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 650 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 651 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 652 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 653 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 654 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 655 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 656 0.66727675 7.4873129 19.0824944 -3.415759845 1.01840021
## 657 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 658 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 659 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 660 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 661 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 662 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 663 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 664 -18.45431269 -12.7915719 13.3856621 -5.945370595 -0.92154945
## 665 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 666 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 667 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 668 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 669 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 670 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 671 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 672 3.95589008 -7.0844523 -5.6375451 0.868572723 16.95057299
## 673 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 674 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 675 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 676 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 677 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 678 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 679 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 680 -6.98608445 2.0106125 -4.1271566 3.338563854 2.00156173
## 681 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 682 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 683 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 684 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 685 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 686 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 687 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 688 5.53129566 8.7994793 -3.3120596 -1.946807169 5.67074404
## 689 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 690 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 691 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 692 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 693 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 694 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 695 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 696 -1.13671800 4.4097727 -6.3505805 -5.343752959 1.45639349
## 697 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 698 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 699 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 700 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 701 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 702 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 703 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 704 5.61252275 -9.6214690 15.0422438 -0.850816641 -13.23635430
## 705 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 706 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 707 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 708 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 709 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 710 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 711 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 712 -0.55761806 3.5373841 -0.7254065 1.260440886 -1.37219776
## 713 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 714 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 715 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 716 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 717 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 718 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 719 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 720 -0.84546757 0.2770553 5.0070128 -4.916782589 2.24409852
## 721 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 722 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 723 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 724 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 725 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 726 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 727 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 728 -2.06142067 10.8868947 1.1491177 6.439195274 5.37855107
## 729 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 730 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 731 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 732 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 733 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 734 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 735 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 736 -2.87243617 -2.0613546 1.4425978 -1.773633809 -6.31406212
## 737 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 738 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 739 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 740 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 741 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 742 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 743 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 744 0.78712882 -2.7395907 -4.3099636 -5.171591381 -7.18379372
## 745 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 746 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 747 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 748 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 749 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 750 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 751 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 752 4.21271241 7.8654653 5.6569537 -0.363490404 -7.38572136
## 753 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 754 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 755 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 756 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 757 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 758 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 759 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 760 -10.37819147 2.1685307 -2.6810178 -2.712191894 -10.37030918
## 761 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 762 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 763 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 764 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 765 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 766 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 767 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 768 -2.05791219 22.4137565 -10.9224029 -11.725189936 -4.97125846
## 769 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 770 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 771 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 772 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 773 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 774 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 775 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 776 4.43495572 4.0103338 4.1066821 8.029115689 -2.63051291
## 777 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 778 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 779 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 780 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 781 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 782 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 783 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 784 12.34144227 -22.5582655 27.4409333 46.977902342 55.08805887
## 785 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 786 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 787 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 788 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 789 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 790 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 791 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 792 -4.44385407 1.4191994 -0.8555954 0.388693939 -2.69777931
## 793 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 794 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 795 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 796 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 797 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 798 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## 799 -3.62694789 12.0775252 16.5599259 -4.418621478 -0.07985022
## PC53_score PC54_score PC55_score PC56_score PC57_score
## 1 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 2 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 3 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 4 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 5 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 6 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 7 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 8 -2.38253470 -14.899195899 3.09216075 22.412533877 21.37131185
## 9 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 10 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 11 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 12 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 13 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 14 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 15 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 16 -1.06847480 0.244824654 -1.56603409 0.660342886 1.17137076
## 17 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 18 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 19 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 20 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 21 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 22 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 23 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 24 -1.19296529 11.717441814 15.68506709 1.833450538 -17.96827639
## 25 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 26 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 27 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 28 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 29 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 30 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 31 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 32 -2.17173336 4.162535260 58.53756838 30.691450745 5.99217227
## 33 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 34 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 35 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 36 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 37 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 38 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 39 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 40 -2.92675184 14.713821985 -8.63174971 20.001435564 -15.00913033
## 41 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 42 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 43 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 44 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 45 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 46 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 47 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 48 -3.69239604 8.937360399 -2.43091515 -4.504769241 -0.87062588
## 49 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 50 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 51 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 52 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 53 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 54 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 55 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 56 -2.71354515 9.657898686 -5.88511516 -1.604671374 -5.54931946
## 57 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 58 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 59 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 60 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 61 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 62 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 63 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 64 -32.43230794 35.517367722 -11.42803779 22.932281520 -14.04661434
## 65 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 66 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 67 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 68 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 69 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 70 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 71 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 72 46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 73 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 74 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 75 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 76 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 77 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 78 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 79 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 80 2.44861111 -3.976921375 -11.75648829 22.801006557 65.70464145
## 81 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 82 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 83 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 84 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 85 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 86 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 87 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 88 -8.54755677 10.223935925 -10.87339086 9.269756706 -4.43443653
## 89 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 90 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 91 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 92 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 93 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 94 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 95 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 96 -18.63948677 -5.127268069 -5.70786479 -0.330452840 -13.08609373
## 97 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 98 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 99 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 100 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 101 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 102 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 103 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 104 46.63363194 36.589918691 12.24476502 -10.727339225 36.72812483
## 105 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 106 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 107 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 108 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 109 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 110 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 111 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 112 -1.00892731 7.503234130 -1.81263713 -8.739199244 13.81871113
## 113 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 114 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 115 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 116 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 117 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 118 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 119 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 120 -4.48232975 0.977523029 -3.50418706 3.182740057 4.40418944
## 121 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 122 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 123 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 124 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 125 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 126 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 127 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 128 -36.29928896 -40.421328759 -3.86907098 -8.675908466 -8.24297368
## 129 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 130 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 131 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 132 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 133 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 134 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 135 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 136 -12.76291550 -31.938153328 5.13737228 3.115369240 -25.83785469
## 137 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 138 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 139 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 140 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 141 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 142 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 143 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 144 0.04746399 -3.107240004 -1.67817053 -2.274042529 -2.94441032
## 145 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 146 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 147 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 148 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 149 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 150 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 151 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 152 3.06369240 -52.569218690 -22.80837706 -19.573987274 28.24968433
## 153 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 154 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 155 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 156 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 157 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 158 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 159 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 160 2.29370738 -1.559855364 -2.76708734 0.850660734 -1.77623274
## 161 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 162 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 163 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 164 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 165 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 166 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 167 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 168 -9.27951928 7.854195683 5.25558525 -26.062611267 -10.48260279
## 169 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 170 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 171 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 172 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 173 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 174 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 175 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 176 -0.44969215 -2.359705919 -2.53909457 1.054008306 0.91670749
## 177 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 178 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 179 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 180 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 181 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 182 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 183 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 184 -3.15311722 -8.679066048 7.28475384 -1.706408414 0.04942206
## 185 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 186 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 187 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 188 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 189 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 190 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 191 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 192 0.11065205 1.897908605 -2.50086980 -1.301605020 -4.76128393
## 193 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 194 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 195 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 196 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 197 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 198 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 199 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 200 -12.37695148 -27.751270559 16.63349875 -15.082873283 -14.46790284
## 201 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 202 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 203 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 204 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 205 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 206 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 207 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 208 -3.10429195 6.051362804 0.13801727 -9.208018940 -4.10346253
## 209 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 210 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 211 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 212 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 213 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 214 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 215 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 216 -6.96347722 -0.001390406 -1.46951920 -1.184208471 -1.14802546
## 217 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 218 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 219 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 220 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 221 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 222 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 223 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 224 -1.54644442 0.113983008 -0.88977644 0.376601266 -0.20540833
## 225 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 226 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 227 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 228 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 229 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 230 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 231 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 232 -1.79327951 3.523012573 0.35645078 -1.561272193 1.72871837
## 233 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 234 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 235 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 236 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 237 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 238 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 239 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 240 9.19641829 -4.676077970 -0.77979626 -5.175697880 -6.11037955
## 241 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 242 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 243 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 244 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 245 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 246 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 247 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 248 10.97271462 -17.151397353 1.35248101 -19.951908930 -35.60360271
## 249 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 250 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 251 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 252 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 253 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 254 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 255 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 256 -10.40292563 -0.231225414 -6.66669697 -9.279497708 6.07800189
## 257 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 258 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 259 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 260 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 261 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 262 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 263 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 264 -1.86401640 1.858227291 -6.28138925 2.022027850 -0.71068039
## 265 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 266 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 267 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 268 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 269 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 270 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 271 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 272 15.03612825 -29.665840276 37.71796016 -7.608771331 13.30670487
## 273 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 274 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 275 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 276 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 277 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 278 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 279 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 280 22.96302462 -7.612341751 22.20673521 -18.392964693 -30.46054713
## 281 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 282 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 283 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 284 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 285 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 286 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 287 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 288 -21.55335569 13.022812914 -4.08295361 6.275191260 20.28287271
## 289 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 290 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 291 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 292 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 293 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 294 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 295 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 296 -6.92562049 -11.509721015 19.75270773 9.073468985 10.95395453
## 297 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 298 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 299 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 300 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 301 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 302 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 303 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 304 9.92991857 2.565449457 0.49216390 -1.010200300 7.89535828
## 305 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 306 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 307 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 308 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 309 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 310 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 311 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 312 -0.15929398 2.756780842 -4.18193565 -3.749058690 6.64635224
## 313 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 314 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 315 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 316 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 317 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 318 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 319 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 320 18.99580208 10.096246217 8.45580305 -0.649835358 -7.40381137
## 321 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 322 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 323 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 324 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 325 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 326 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 327 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 328 1.82408526 -2.006945819 -10.34182629 1.597724481 -4.68359721
## 329 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 330 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 331 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 332 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 333 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 334 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 335 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 336 -3.40497980 2.899287230 -7.83049048 6.562776987 -1.08022509
## 337 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 338 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 339 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 340 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 341 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 342 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 343 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 344 -10.36711227 20.449406803 -13.86139213 -3.232548145 -8.38732558
## 345 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 346 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 347 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 348 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 349 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 350 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 351 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 352 -26.86054547 13.962796962 13.75338281 11.346191598 7.29333275
## 353 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 354 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 355 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 356 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 357 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 358 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 359 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 360 2.42169330 2.952381325 15.03169112 4.562686200 1.19632426
## 361 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 362 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 363 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 364 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 365 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 366 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 367 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 368 3.19335626 -2.190861683 1.37192576 -5.222818815 0.37285497
## 369 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 370 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 371 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 372 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 373 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 374 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 375 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 376 9.61536204 -10.837406088 6.27810843 17.070645057 -6.46153015
## 377 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 378 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 379 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 380 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 381 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 382 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 383 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 384 -2.10881680 19.170853418 -6.07396520 -10.063249346 -19.14069980
## 385 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 386 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 387 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 388 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 389 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 390 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 391 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 392 -2.20104017 2.646088130 -4.86752647 1.534531739 -2.76562877
## 393 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 394 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 395 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 396 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 397 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 398 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 399 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 400 -2.21151000 1.022859664 -2.68465303 -3.878558303 0.36303999
## 401 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 402 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 403 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 404 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 405 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 406 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 407 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 408 -3.89900051 23.989255597 -6.31164531 4.975642875 0.99628752
## 409 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 410 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 411 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 412 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 413 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 414 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 415 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 416 -11.73370935 -19.077001786 -23.57538843 17.421069252 -23.33678899
## 417 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 418 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 419 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 420 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 421 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 422 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 423 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 424 4.03850090 4.127088897 3.82635206 -5.430640922 -7.37966690
## 425 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 426 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 427 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 428 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 429 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 430 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 431 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 432 46.24073768 -4.472170720 -2.45284410 23.821482827 -14.20066902
## 433 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 434 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 435 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 436 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 437 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 438 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 439 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 440 -4.21503853 -6.727585908 15.25001423 9.966999632 12.57717411
## 441 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 442 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 443 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 444 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 445 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 446 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 447 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 448 -2.27598864 2.858521157 -2.47861412 -1.951545262 -5.51414005
## 449 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 450 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 451 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 452 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 453 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 454 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 455 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 456 7.19124266 -2.104395778 -3.96411902 6.546558486 5.42381977
## 457 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 458 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 459 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 460 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 461 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 462 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 463 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 464 1.06669259 -12.447136844 -24.59703676 -1.389152634 10.79924353
## 465 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 466 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 467 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 468 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 469 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 470 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 471 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 472 24.07657878 6.489128175 -65.58052468 21.974477938 -9.28575191
## 473 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 474 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 475 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 476 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 477 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 478 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 479 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 480 2.11415801 -3.722916613 1.11743854 -8.187354165 -2.53261057
## 481 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 482 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 483 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 484 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 485 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 486 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 487 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 488 6.60289056 -2.607746901 -5.47329395 0.694558620 -4.15728238
## 489 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 490 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 491 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 492 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 493 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 494 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 495 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 496 -1.78961014 -3.176564376 5.41169874 1.566553940 2.39789496
## 497 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 498 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 499 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 500 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 501 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 502 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 503 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 504 -8.91636280 1.660826380 -6.87602135 6.680474677 -0.94527540
## 505 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 506 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 507 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 508 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 509 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 510 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 511 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 512 5.16886828 -6.665362338 2.31632777 2.321392322 1.33542238
## 513 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 514 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 515 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 516 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 517 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 518 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 519 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 520 -3.20097459 -2.615772029 6.26336728 -5.420692715 2.34652187
## 521 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 522 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 523 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 524 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 525 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 526 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 527 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 528 1.63127471 -41.374944503 -4.31988528 50.120101685 6.70795216
## 529 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 530 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 531 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 532 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 533 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 534 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 535 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 536 12.21158121 0.989389936 -6.22637132 -2.181714560 11.24298684
## 537 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 538 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 539 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 540 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 541 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 542 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 543 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 544 -9.67641647 -7.416329842 -14.55073878 -62.731857958 49.75892913
## 545 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 546 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 547 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 548 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 549 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 550 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 551 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 552 -0.92682634 -2.421165425 3.27228163 0.069447559 1.56467690
## 553 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 554 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 555 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 556 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 557 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 558 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 559 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 560 -4.78253992 -2.392810895 9.32363365 10.372959395 10.42907097
## 561 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 562 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 563 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 564 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 565 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 566 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 567 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 568 -5.63530937 9.401500420 -6.77783596 8.414013943 -3.52923263
## 569 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 570 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 571 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 572 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 573 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 574 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 575 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 576 3.80319310 4.618457163 -3.57916748 4.482732152 2.39858077
## 577 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 578 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 579 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 580 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 581 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 582 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 583 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 584 -7.62722174 -3.953353116 -3.93045455 4.864369635 1.43888397
## 585 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 586 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 587 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 588 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 589 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 590 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 591 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 592 -0.17988142 -2.661311920 5.21729077 1.119076005 0.17234644
## 593 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 594 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 595 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 596 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 597 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 598 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 599 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 600 1.99483996 -4.986869059 1.72360707 -0.488043742 -4.07369914
## 601 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 602 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 603 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 604 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 605 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 606 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 607 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 608 -6.38781010 2.226346582 0.53273993 9.020709038 5.42739448
## 609 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 610 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 611 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 612 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 613 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 614 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 615 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 616 1.13101850 6.672671893 -1.85102889 -1.231314447 5.46950767
## 617 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 618 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 619 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 620 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 621 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 622 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 623 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 624 -24.66289622 28.037289571 -2.64828117 -13.122555238 -19.49062451
## 625 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 626 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 627 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 628 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 629 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 630 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 631 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 632 13.54790292 12.367198651 29.65368674 -6.118761146 4.91394189
## 633 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 634 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 635 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 636 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 637 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 638 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 639 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 640 -5.84098254 -7.277992198 2.37997417 -11.785195883 7.90223882
## 641 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 642 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 643 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 644 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 645 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 646 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 647 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 648 4.90147399 2.334347387 3.84390586 -3.705907357 -3.20362079
## 649 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 650 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 651 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 652 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 653 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 654 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 655 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 656 -7.29387931 14.573613618 -8.00215966 -7.870370084 18.57232990
## 657 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 658 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 659 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 660 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 661 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 662 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 663 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 664 -21.20727799 -9.811215043 -15.62356115 15.086433177 -11.88406906
## 665 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 666 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 667 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 668 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 669 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 670 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 671 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 672 12.07737781 -8.113970775 -4.25476158 -5.914618996 4.68881792
## 673 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 674 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 675 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 676 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 677 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 678 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 679 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 680 -2.23959126 1.368094393 -3.99485657 2.657215553 3.75452826
## 681 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 682 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 683 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 684 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 685 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 686 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 687 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 688 0.24499821 4.514446234 -2.50688288 -0.002020683 -5.09979377
## 689 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 690 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 691 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 692 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 693 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 694 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 695 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 696 2.71679152 1.031680460 -0.50215706 -0.030039156 -4.47720042
## 697 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 698 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 699 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 700 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 701 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 702 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 703 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 704 -14.94663221 -3.144798058 -14.58673211 -5.500190099 2.39645807
## 705 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 706 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 707 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 708 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 709 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 710 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 711 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 712 0.01839797 -0.910199788 -1.25466182 -1.549733194 -0.56028503
## 713 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 714 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 715 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 716 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 717 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 718 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 719 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 720 -5.31762306 6.520805625 4.82274745 7.044393405 7.08470576
## 721 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 722 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 723 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 724 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 725 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 726 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 727 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 728 -9.45143232 -2.722813900 0.21642436 -2.927134258 -5.44546937
## 729 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 730 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 731 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 732 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 733 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 734 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 735 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 736 -3.24282703 -2.682680858 -3.06958489 1.118710925 -2.60440552
## 737 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 738 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 739 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 740 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 741 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 742 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 743 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 744 8.53825435 -1.703982533 -5.71058454 -12.399599199 1.18102045
## 745 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 746 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 747 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 748 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 749 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 750 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 751 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 752 6.16827994 12.070551771 -2.96794777 -1.591198024 -4.53767573
## 753 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 754 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 755 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 756 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 757 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 758 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 759 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 760 4.29238219 -5.019550363 -6.56066010 2.635664363 -0.16358555
## 761 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 762 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 763 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 764 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 765 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 766 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 767 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 768 5.94683485 6.657213969 0.06815494 -7.274522796 -14.28180987
## 769 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 770 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 771 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 772 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 773 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 774 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 775 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 776 -0.84759145 11.153465327 -0.34727448 -0.300427259 8.36080051
## 777 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 778 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 779 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 780 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 781 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 782 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 783 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 784 -33.32433477 -2.325954410 46.73802451 -18.907633595 -6.72011189
## 785 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 786 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 787 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 788 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 789 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 790 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 791 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 792 -0.43259972 0.546655610 -4.25070260 -1.832430845 1.64058319
## 793 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 794 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 795 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 796 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 797 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 798 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## 799 -1.26391576 -3.744063240 1.69612159 -1.975077268 8.61653231
## PC58_score PC59_score PC60_score PC61_score PC62_score PC63_score
## 1 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 2 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 3 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 4 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 5 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 6 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 7 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 8 12.16166299 14.84506111 -19.4441008 -11.6726908 7.7659229 -0.11330943
## 9 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 10 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 11 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 12 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 13 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 14 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 15 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 16 4.63925607 3.74121019 0.6565200 2.9121341 3.9975989 -6.39431079
## 17 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 18 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 19 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 20 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 21 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 22 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 23 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 24 -9.41974742 6.89815238 -17.1153840 -0.5725441 -1.8147565 17.07980999
## 25 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 26 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 27 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 28 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 29 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 30 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 31 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 32 -31.37247935 -17.41444905 -0.3182958 -2.9426745 -4.9449140 -4.09690953
## 33 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 34 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 35 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 36 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 37 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 38 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 39 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 40 37.61865931 -31.01145326 0.8015900 -61.2396469 33.3019377 -16.55529035
## 41 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 42 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 43 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 44 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 45 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 46 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 47 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 48 -2.23709982 -1.77289942 3.0957872 4.0766678 -2.5315407 -15.31734295
## 49 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 50 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 51 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 52 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 53 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 54 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 55 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 56 4.48050426 1.25716761 5.0134822 0.3495808 -4.4187575 2.33646799
## 57 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 58 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 59 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 60 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 61 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 62 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 63 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 64 -35.51935981 -6.55125146 22.0172721 20.8221432 -13.7499161 30.30763593
## 65 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 66 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 67 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 68 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 69 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 70 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 71 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 72 11.45397096 -20.98196238 0.7554858 4.5316123 28.0072582 13.47204101
## 73 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 74 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 75 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 76 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 77 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 78 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 79 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 80 29.82408071 -2.16024871 -24.9925917 37.6131557 20.6761284 -47.80320849
## 81 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 82 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 83 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 84 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 85 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 86 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 87 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 88 -3.85402052 -13.71804208 17.3668173 18.7886143 -8.2245132 1.10453306
## 89 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 90 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 91 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 92 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 93 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 94 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 95 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 96 6.76828736 5.60583255 5.5714743 3.0883843 -2.5523085 4.14809258
## 97 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 98 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 99 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 100 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 101 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 102 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 103 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 104 -22.39005558 27.45085583 15.4549728 -15.6703143 14.1482897 26.36694617
## 105 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 106 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 107 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 108 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 109 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 110 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 111 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 112 -5.98160538 3.62593653 2.0694901 -10.0672103 -5.4574068 -4.78703479
## 113 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 114 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 115 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 116 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 117 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 118 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 119 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 120 -3.27966580 3.66397897 -2.6601051 4.0674587 0.3209012 -3.06435945
## 121 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 122 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 123 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 124 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 125 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 126 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 127 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 128 11.26531422 7.03055527 27.0411854 15.1695877 12.9665958 -9.98922482
## 129 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 130 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 131 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 132 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 133 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 134 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 135 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 136 -7.96543873 -19.90529254 -49.2699185 0.4902856 -20.4347558 0.95149142
## 137 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 138 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 139 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 140 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 141 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 142 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 143 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 144 3.42861156 2.48277775 -0.4093315 -2.5668156 -0.9994234 2.94590428
## 145 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 146 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 147 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 148 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 149 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 150 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 151 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 152 -29.33813476 7.45212426 27.5395402 -34.2282338 -23.7511161 3.95498322
## 153 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 154 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 155 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 156 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 157 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 158 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 159 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 160 4.70136320 -1.92063381 1.2186731 4.1371347 4.8707656 -4.18382955
## 161 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 162 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 163 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 164 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 165 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 166 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 167 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 168 -2.94029483 6.52666964 -8.1740022 34.5616395 7.1399202 -15.89176109
## 169 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 170 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 171 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 172 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 173 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 174 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 175 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 176 3.42896430 -1.07843406 2.2525944 0.4505914 3.0079271 -0.29646936
## 177 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 178 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 179 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 180 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 181 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 182 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 183 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 184 -4.57309934 -2.25345720 -2.4176715 2.9217654 -4.5192550 0.40267538
## 185 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 186 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 187 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 188 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 189 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 190 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 191 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 192 -0.43504623 -0.18388625 2.9255236 3.0401042 3.1260636 -2.97316656
## 193 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 194 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 195 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 196 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 197 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 198 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 199 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 200 -43.83442112 2.69179371 -3.5567336 -23.5262671 18.6487206 -21.58234003
## 201 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 202 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 203 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 204 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 205 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 206 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 207 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 208 -3.93227578 -2.85049128 -7.5532411 -0.7358447 1.2609498 0.21161799
## 209 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 210 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 211 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 212 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 213 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 214 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 215 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 216 0.50534452 0.31249062 1.5872644 -4.9703356 3.6384838 3.76365099
## 217 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 218 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 219 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 220 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 221 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 222 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 223 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 224 2.83642586 -0.41011539 -1.1703011 1.4023914 0.9040301 -1.25555383
## 225 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 226 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 227 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 228 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 229 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 230 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 231 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 232 -0.07122256 -0.51866569 4.4366567 0.2848008 -8.8500467 -0.90571778
## 233 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 234 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 235 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 236 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 237 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 238 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 239 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 240 -0.73969717 -4.38949309 -9.5611277 3.6731995 1.5395144 4.86253003
## 241 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 242 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 243 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 244 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 245 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 246 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 247 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 248 -9.31446327 16.48120843 -30.9691438 37.4537484 15.1795312 -7.43650022
## 249 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 250 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 251 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 252 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 253 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 254 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 255 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 256 3.13681842 6.15107271 -6.0499968 -14.1823946 -1.3007450 -9.58266511
## 257 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 258 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 259 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 260 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 261 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 262 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 263 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 264 2.38702368 -0.45612165 -7.5578898 -5.4371523 7.3448685 6.14801862
## 265 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 266 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 267 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 268 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 269 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 270 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 271 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 272 18.40333519 9.99141484 -10.2622804 13.9891612 -3.7080586 7.50641209
## 273 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 274 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 275 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 276 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 277 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 278 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 279 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 280 19.00994035 -15.11967727 25.7825675 2.1562568 -5.9401533 -3.78261272
## 281 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 282 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 283 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 284 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 285 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 286 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 287 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 288 -14.37480772 -16.56485743 -10.6802903 -3.5110637 -1.2173280 -10.51114996
## 289 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 290 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 291 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 292 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 293 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 294 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 295 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 296 14.01009627 3.82170837 -20.1733888 -1.3828562 -8.7531634 40.15543028
## 297 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 298 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 299 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 300 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 301 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 302 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 303 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 304 -8.83887790 6.55137836 -0.6211691 7.8767186 -4.7448065 8.89663041
## 305 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 306 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 307 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 308 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 309 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 310 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 311 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 312 -3.15275749 1.84630000 5.7815535 -1.6151380 -2.5655385 0.68957209
## 313 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 314 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 315 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 316 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 317 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 318 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 319 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 320 9.33982410 -1.16605358 12.3441402 -2.1311178 -7.2906988 -2.22735987
## 321 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 322 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 323 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 324 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 325 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 326 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 327 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 328 -9.19007387 -1.73336906 0.6098882 -11.6427547 3.0966593 -4.61215976
## 329 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 330 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 331 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 332 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 333 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 334 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 335 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 336 8.08442371 0.99990529 -15.2280052 -7.5888886 4.1923869 -2.07336780
## 337 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 338 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 339 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 340 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 341 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 342 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 343 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 344 1.23771845 8.38668972 -6.9038054 1.6055585 2.2865277 -2.70930947
## 345 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 346 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 347 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 348 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 349 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 350 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 351 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 352 -9.36215989 -1.47634115 -7.3293571 -4.2879673 -6.6842282 21.06938288
## 353 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 354 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 355 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 356 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 357 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 358 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 359 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 360 -8.50534064 -1.22520313 22.4111624 16.8327337 -24.8127264 -37.16589664
## 361 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 362 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 363 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 364 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 365 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 366 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 367 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 368 -2.39834294 -0.54318256 0.3903760 -2.5359722 -0.5789867 2.38476585
## 369 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 370 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 371 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 372 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 373 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 374 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 375 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 376 18.93761617 8.02123085 -6.0101947 -25.1346696 -1.7654091 -26.90763672
## 377 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 378 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 379 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 380 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 381 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 382 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 383 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 384 8.73561652 2.13541015 14.7184479 25.3762116 -10.3473230 -19.11886316
## 385 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 386 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 387 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 388 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 389 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 390 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 391 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 392 4.76614085 4.97013088 -4.3255720 0.1576125 -6.0386007 -9.37749994
## 393 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 394 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 395 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 396 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 397 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 398 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 399 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 400 -1.35797230 3.59369403 6.7359902 0.7509603 0.4769465 -2.44680328
## 401 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 402 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 403 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 404 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 405 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 406 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 407 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 408 -0.87142466 16.58860211 -17.4723060 -0.1954444 -6.0083887 -10.14222296
## 409 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 410 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 411 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 412 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 413 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 414 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 415 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 416 -13.50092573 -19.67196727 27.0878528 0.2841892 16.2831041 16.24080848
## 417 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 418 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 419 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 420 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 421 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 422 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 423 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 424 15.01162113 3.88298854 10.4072974 4.7654740 -4.1887294 -13.50889288
## 425 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 426 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 427 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 428 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 429 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 430 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 431 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 432 8.72097863 16.46942901 -2.2918956 1.6091571 2.8647089 -1.99753666
## 433 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 434 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 435 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 436 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 437 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 438 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 439 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 440 -4.39086029 15.96673545 16.9770081 -2.1454388 -12.4918267 -22.94482184
## 441 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 442 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 443 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 444 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 445 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 446 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 447 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 448 -1.89686317 0.50552674 1.1161142 -4.1441921 2.0137710 0.63325033
## 449 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 450 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 451 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 452 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 453 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 454 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 455 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 456 6.64839535 -0.07282245 11.0882966 -14.8993984 -12.3669165 -1.62909704
## 457 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 458 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 459 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 460 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 461 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 462 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 463 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 464 18.58452188 7.95692573 -32.7982229 32.5261954 -19.3975969 52.18212090
## 465 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 466 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 467 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 468 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 469 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 470 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 471 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 472 -48.30821236 -25.86823450 -29.5661285 -2.7692167 -8.0977346 -26.48136365
## 473 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 474 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 475 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 476 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 477 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 478 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 479 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 480 3.25792064 2.00009700 1.2200988 -6.9319327 4.9639509 7.69176428
## 481 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 482 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 483 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 484 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 485 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 486 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 487 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 488 4.25800435 -5.25251085 -2.1867779 1.8430611 0.6316439 -1.63580552
## 489 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 490 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 491 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 492 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 493 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 494 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 495 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 496 -2.26565160 2.90807419 -0.3117576 -6.1392254 2.1539079 -1.61430835
## 497 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 498 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 499 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 500 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 501 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 502 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 503 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 504 -4.64347078 2.64692900 -1.0388312 1.9298873 -7.0320675 1.25028641
## 505 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 506 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 507 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 508 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 509 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 510 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 511 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 512 -0.21227578 -2.95236788 1.1641446 -5.8507953 -1.8656250 -0.57689181
## 513 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 514 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 515 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 516 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 517 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 518 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 519 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 520 -2.66489121 -0.20642354 1.0768143 -10.7210845 -1.3128643 8.50239652
## 521 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 522 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 523 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 524 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 525 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 526 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 527 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 528 3.49128142 -9.42650261 45.0791828 21.9761781 20.4061442 22.92240357
## 529 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 530 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 531 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 532 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 533 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 534 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 535 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 536 0.17945315 2.65774208 -2.7605052 12.8234137 -1.4352922 -3.00580219
## 537 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 538 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 539 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 540 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 541 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 542 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 543 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 544 -28.35394768 -7.68211628 9.8082013 2.9245669 3.6941015 -1.02734403
## 545 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 546 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 547 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 548 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 549 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 550 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 551 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 552 -1.78440245 -8.11707398 2.7953336 -8.0097938 4.3328717 0.49126306
## 553 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 554 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 555 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 556 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 557 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 558 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 559 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 560 10.34734651 -8.63997438 6.6785594 -8.5277964 -8.0456076 -0.35254722
## 561 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 562 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 563 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 564 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 565 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 566 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 567 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 568 -2.28707210 14.23582536 0.6643818 -15.2020330 -12.2852303 1.31439752
## 569 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 570 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 571 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 572 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 573 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 574 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 575 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 576 -1.88680696 7.25404534 0.3370379 -1.7868237 -2.3286141 7.12932559
## 577 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 578 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 579 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 580 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 581 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 582 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 583 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 584 13.93557397 22.37296123 -1.7869572 -9.7216837 -1.2107809 3.17279951
## 585 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 586 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 587 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 588 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 589 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 590 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 591 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 592 -3.89914680 -0.74505021 2.6134110 -0.4853844 0.3656298 -1.13149650
## 593 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 594 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 595 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 596 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 597 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 598 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 599 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 600 1.40564074 3.66303940 0.6927677 3.3327430 0.9623400 5.41631059
## 601 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 602 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 603 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 604 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 605 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 606 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 607 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 608 15.01829310 -4.57569011 -9.2447483 5.9781843 -1.8112165 -7.83936821
## 609 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 610 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 611 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 612 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 613 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 614 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 615 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 616 11.20317817 1.50366654 1.8487493 -12.7067374 0.3388646 -1.49092171
## 617 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 618 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 619 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 620 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 621 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 622 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 623 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 624 3.81578096 54.04226069 11.7874274 -3.8263963 45.0964630 -4.21704260
## 625 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 626 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 627 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 628 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 629 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 630 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 631 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 632 -9.43822553 -67.61214427 -11.5382932 3.5678810 12.9721809 -2.42827243
## 633 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 634 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 635 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 636 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 637 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 638 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 639 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 640 8.13485906 5.59691645 -1.4405698 4.7455062 17.9740035 -10.45924590
## 641 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 642 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 643 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 644 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 645 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 646 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 647 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 648 -5.18041302 -3.02914282 -0.1088855 -1.8311532 -0.7892245 -7.90974468
## 649 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 650 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 651 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 652 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 653 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 654 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 655 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 656 11.78356321 -35.94384489 6.9899795 0.9380972 40.4111200 32.29960606
## 657 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 658 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 659 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 660 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 661 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 662 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 663 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 664 1.44586553 16.02620378 12.9430011 10.7547663 11.0175406 -6.13642350
## 665 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 666 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 667 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 668 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 669 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 670 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 671 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 672 1.10750014 0.48556750 5.9898787 -2.6832141 -4.5015986 -2.69171132
## 673 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 674 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 675 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 676 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 677 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 678 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 679 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 680 0.47696493 -4.47816131 -0.4494482 1.1505380 0.9907394 4.28369434
## 681 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 682 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 683 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 684 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 685 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 686 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 687 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 688 7.84537768 -1.36942568 2.3021777 -3.2255340 9.0717757 8.81032479
## 689 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 690 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 691 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 692 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 693 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 694 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 695 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 696 7.73346307 5.49121090 5.3966685 0.2482272 -5.6241386 5.10555720
## 697 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 698 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 699 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 700 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 701 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 702 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 703 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 704 -2.57305608 -1.60998476 -16.8330524 -7.4213071 9.3519647 -0.06035564
## 705 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 706 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 707 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 708 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 709 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 710 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 711 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 712 1.41693270 0.12545461 -2.8509096 -2.2151198 -1.9078511 2.55719451
## 713 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 714 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 715 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 716 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 717 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 718 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 719 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 720 2.76935348 1.23875434 -0.2033537 -1.8219682 -1.5005081 0.52197900
## 721 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 722 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 723 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 724 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 725 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 726 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 727 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 728 18.92861520 -16.69681757 -2.7927549 7.8979674 -20.7343937 7.29920746
## 729 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 730 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 731 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 732 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 733 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 734 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 735 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 736 -1.67901568 1.09021779 4.9040348 -1.5693948 -0.3573569 1.52192334
## 737 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 738 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 739 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 740 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 741 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 742 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 743 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 744 12.96180992 -2.90893543 6.9205138 -12.8921085 -7.6100117 11.81367498
## 745 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 746 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 747 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 748 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 749 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 750 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 751 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 752 2.80184731 0.86101052 3.7658975 -1.6361484 -11.8572223 -6.38981043
## 753 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 754 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 755 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 756 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 757 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 758 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 759 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 760 4.64981937 -1.77462985 -3.0015753 -8.4118138 -33.9290119 5.47414861
## 761 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 762 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 763 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 764 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 765 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 766 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 767 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 768 3.21991661 22.13624875 -19.9246422 -30.7319544 -34.9121766 4.92811443
## 769 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 770 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 771 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 772 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 773 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 774 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 775 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 776 6.62543214 4.68858816 7.4823279 -7.0205245 -6.0197735 5.47120090
## 777 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 778 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 779 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 780 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 781 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 782 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 783 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 784 -9.25343907 -7.03199341 -11.1612715 -4.7922987 -1.6228498 -4.68644034
## 785 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 786 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 787 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 788 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 789 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 790 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 791 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 792 -0.98502034 -1.41553405 1.2211280 2.4521463 0.4525414 2.80695632
## 793 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 794 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 795 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 796 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 797 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 798 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## 799 -12.40195054 -1.46012599 -9.7574694 7.0600082 3.8989571 4.58518241
## PC64_score PC65_score PC66_score PC67_score PC68_score
## 1 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 2 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 3 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 4 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 5 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 6 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 7 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 8 -16.68235043 20.55423462 12.413646987 38.56026414 -28.015843406
## 9 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 10 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 11 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 12 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 13 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 14 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 15 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 16 10.00705078 2.03296079 -5.359086941 -4.68614024 -12.871204967
## 17 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 18 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 19 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 20 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 21 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 22 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 23 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 24 -1.22570995 2.21728505 13.074121303 -5.72819302 -0.005860222
## 25 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 26 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 27 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 28 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 29 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 30 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 31 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 32 15.43692167 -20.52880380 -10.576748066 -0.66513834 4.536571892
## 33 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 34 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 35 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 36 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 37 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 38 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 39 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 40 13.73176508 -0.27373357 -0.584630485 -19.39840601 -6.919711875
## 41 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 42 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 43 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 44 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 45 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 46 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 47 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 48 -16.93016206 -0.86496680 5.993510132 -16.62855610 -7.093212009
## 49 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 50 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 51 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 52 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 53 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 54 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 55 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 56 -0.19898030 6.33323817 3.753873000 3.02327333 2.383547470
## 57 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 58 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 59 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 60 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 61 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 62 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 63 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 64 1.12438224 -11.96104356 -7.480468096 -16.14857025 -5.842993619
## 65 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 66 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 67 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 68 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 69 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 70 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 71 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 72 -10.37630039 9.06367401 0.253154674 7.49824561 11.822549503
## 73 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 74 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 75 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 76 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 77 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 78 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 79 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 80 18.94555109 -25.32803702 -2.421270788 2.74748591 18.028006383
## 81 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 82 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 83 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 84 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 85 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 86 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 87 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 88 9.87040261 -3.14271200 -24.327581687 5.69759074 9.958765188
## 89 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 90 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 91 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 92 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 93 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 94 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 95 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 96 -6.13699077 -0.92773104 -1.949104290 3.60453736 1.075678370
## 97 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 98 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 99 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 100 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 101 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 102 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 103 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 104 2.18690508 -7.12831511 19.019516000 1.28282891 -3.262597001
## 105 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 106 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 107 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 108 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 109 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 110 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 111 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 112 6.46427783 -1.26600826 0.142652941 4.09884638 5.697753986
## 113 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 114 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 115 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 116 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 117 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 118 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 119 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 120 -5.31428278 -0.93891933 -1.160543587 0.25912866 -0.319155331
## 121 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 122 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 123 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 124 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 125 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 126 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 127 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 128 4.58364851 -24.31751479 5.603068151 1.27578240 -19.178531885
## 129 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 130 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 131 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 132 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 133 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 134 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 135 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 136 -27.64288392 1.38190482 -1.923228498 40.89177530 40.406806292
## 137 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 138 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 139 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 140 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 141 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 142 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 143 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 144 5.85226251 3.86203601 1.597235730 1.53938512 -1.826226810
## 145 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 146 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 147 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 148 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 149 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 150 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 151 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 152 -49.40071850 -33.44621448 -45.749710004 -3.89602154 -20.158732898
## 153 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 154 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 155 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 156 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 157 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 158 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 159 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 160 3.77664424 -4.70868051 0.185396519 3.14791312 1.626681259
## 161 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 162 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 163 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 164 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 165 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 166 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 167 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 168 -9.21733317 -37.56722454 42.861466817 8.69776419 -29.711988407
## 169 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 170 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 171 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 172 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 173 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 174 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 175 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 176 -2.92277346 1.98554833 3.449895023 2.71451394 -0.425068983
## 177 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 178 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 179 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 180 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 181 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 182 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 183 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 184 -0.07989053 13.44956565 -5.235312494 -5.06902705 -1.090029700
## 185 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 186 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 187 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 188 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 189 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 190 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 191 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 192 -2.76381881 -0.94332462 -2.119202927 -0.19523613 3.350797885
## 193 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 194 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 195 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 196 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 197 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 198 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 199 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 200 37.92037816 -2.30163800 4.618296668 0.90900562 7.062539125
## 201 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 202 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 203 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 204 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 205 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 206 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 207 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 208 1.78959451 0.58232686 1.587183271 0.63436402 -0.354122766
## 209 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 210 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 211 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 212 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 213 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 214 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 215 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 216 -1.24222128 1.56450752 3.357769782 -1.75133150 -0.420993211
## 217 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 218 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 219 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 220 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 221 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 222 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 223 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 224 0.52901519 -0.53083458 -1.515519583 0.49857921 0.366505950
## 225 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 226 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 227 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 228 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 229 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 230 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 231 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 232 2.78248653 3.82213129 1.036702783 5.17230254 4.734477057
## 233 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 234 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 235 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 236 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 237 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 238 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 239 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 240 -5.25261897 3.27786186 2.587496046 -3.33742769 2.281338532
## 241 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 242 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 243 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 244 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 245 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 246 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 247 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 248 30.07240014 26.06890101 -51.840328634 -45.81960835 -18.165925734
## 249 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 250 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 251 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 252 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 253 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 254 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 255 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 256 8.24540765 22.47448633 5.078388464 -3.22419769 33.293218155
## 257 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 258 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 259 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 260 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 261 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 262 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 263 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 264 -8.84403285 4.88185624 -6.481639298 -1.53184827 -15.907400023
## 265 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 266 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 267 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 268 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 269 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 270 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 271 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 272 10.59753042 -23.87450653 -4.950203821 23.05116262 -14.823368046
## 273 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 274 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 275 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 276 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 277 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 278 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 279 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 280 18.17247080 -6.98017885 8.453049491 9.87101074 17.548435844
## 281 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 282 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 283 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 284 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 285 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 286 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 287 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 288 -0.32817706 -6.39639270 -4.550766956 -0.40505256 0.855319533
## 289 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 290 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 291 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 292 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 293 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 294 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 295 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 296 6.75603608 35.67013328 -7.831063075 -10.09517857 -1.094559480
## 297 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 298 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 299 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 300 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 301 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 302 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 303 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 304 -3.57498470 6.94771877 -8.795799109 -1.01813477 -6.535757153
## 305 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 306 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 307 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 308 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 309 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 310 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 311 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 312 2.12517755 5.10475919 5.339139094 -5.40267102 0.913227747
## 313 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 314 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 315 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 316 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 317 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 318 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 319 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 320 -2.48559883 0.73515890 13.085357465 9.20265013 3.829411039
## 321 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 322 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 323 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 324 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 325 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 326 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 327 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 328 5.04222648 -0.13448586 3.762715122 -7.65647396 5.733883708
## 329 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 330 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 331 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 332 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 333 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 334 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 335 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 336 -13.01209295 23.53147869 -14.245844418 23.54567105 -30.901597075
## 337 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 338 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 339 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 340 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 341 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 342 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 343 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 344 9.35559538 5.81198595 1.575371435 0.24315599 1.137650392
## 345 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 346 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 347 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 348 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 349 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 350 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 351 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 352 2.97300203 3.77230157 1.789779983 -0.53654028 -6.956949997
## 353 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 354 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 355 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 356 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 357 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 358 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 359 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 360 -44.86421121 23.84034902 -2.873891971 -23.63284064 4.970254822
## 361 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 362 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 363 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 364 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 365 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 366 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 367 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 368 1.65890108 4.82009041 1.983797445 1.46330610 -2.868593241
## 369 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 370 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 371 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 372 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 373 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 374 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 375 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 376 -21.42559083 6.89508631 17.273456541 -36.82049911 -3.189547253
## 377 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 378 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 379 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 380 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 381 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 382 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 383 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 384 -23.28747877 -3.29292942 26.947729359 -25.25617461 -15.181803989
## 385 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 386 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 387 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 388 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 389 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 390 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 391 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 392 -7.53086231 10.24853239 2.934353027 0.54078291 -12.059966396
## 393 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 394 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 395 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 396 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 397 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 398 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 399 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 400 -0.21696991 4.71684127 -0.608182991 0.66729811 1.834236384
## 401 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 402 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 403 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 404 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 405 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 406 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 407 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 408 -2.22775600 -4.61252688 6.951538884 2.32039091 8.764646097
## 409 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 410 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 411 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 412 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 413 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 414 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 415 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 416 3.04868690 8.95839996 35.619404536 15.04638455 9.401293483
## 417 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 418 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 419 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 420 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 421 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 422 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 423 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 424 -10.13000647 -0.98498236 6.474605027 8.93542501 -1.454810702
## 425 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 426 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 427 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 428 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 429 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 430 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 431 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 432 1.95336356 -6.37705258 7.824455606 3.04505287 0.342187637
## 433 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 434 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 435 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 436 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 437 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 438 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 439 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 440 -5.29381632 44.89728565 -4.590020117 -0.02445028 36.749521874
## 441 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 442 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 443 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 444 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 445 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 446 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 447 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 448 -3.40891330 -1.97530945 -0.004621172 -1.45216054 -1.751683806
## 449 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 450 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 451 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 452 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 453 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 454 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 455 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 456 -4.35724775 -7.80515553 -5.610389184 4.10115049 9.258811188
## 457 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 458 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 459 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 460 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 461 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 462 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 463 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 464 -7.03398137 -9.97792178 7.755154481 -16.47104077 21.626129998
## 465 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 466 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 467 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 468 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 469 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 470 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 471 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 472 13.66532749 -11.09093425 -2.939829307 6.56991333 -1.758625807
## 473 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 474 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 475 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 476 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 477 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 478 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 479 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 480 0.94298517 -0.37270009 1.543703845 -1.78820120 -0.281015060
## 481 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 482 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 483 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 484 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 485 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 486 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 487 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 488 -0.13789337 -3.40222101 -0.689695218 3.49296439 -1.594255164
## 489 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 490 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 491 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 492 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 493 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 494 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 495 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 496 6.19972582 1.19159476 2.142264189 2.74124523 2.177224230
## 497 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 498 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 499 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 500 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 501 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 502 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 503 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 504 -15.18021659 11.72502384 13.135559834 6.62384058 -2.589955914
## 505 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 506 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 507 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 508 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 509 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 510 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 511 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 512 5.03393246 -3.27369214 -6.031591060 3.46718994 1.461289388
## 513 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 514 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 515 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 516 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 517 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 518 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 519 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 520 0.76533447 4.11541244 1.649971987 2.94909116 -3.699086963
## 521 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 522 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 523 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 524 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 525 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 526 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 527 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 528 19.48791443 9.44220107 19.736026445 -7.84805827 -4.007318409
## 529 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 530 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 531 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 532 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 533 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 534 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 535 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 536 -7.21277836 -10.57349526 1.898494645 -1.55811398 0.966180177
## 537 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 538 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 539 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 540 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 541 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 542 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 543 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 544 28.30009071 38.71559649 32.680370800 -3.81399428 8.925120038
## 545 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 546 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 547 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 548 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 549 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 550 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 551 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 552 1.83841445 -3.15363798 3.677859021 -4.24883167 2.675326052
## 553 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 554 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 555 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 556 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 557 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 558 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 559 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 560 10.08318617 6.79054327 -10.346459258 0.90069086 -0.678210634
## 561 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 562 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 563 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 564 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 565 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 566 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 567 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 568 8.50854005 9.96215221 9.306278793 8.54483196 -1.999193230
## 569 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 570 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 571 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 572 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 573 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 574 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 575 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 576 2.48714246 -2.85083897 -2.859954223 0.05475242 -6.802446220
## 577 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 578 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 579 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 580 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 581 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 582 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 583 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 584 4.70528711 -13.14138104 -8.544536353 -33.25987446 42.034781009
## 585 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 586 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 587 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 588 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 589 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 590 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 591 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 592 0.51773600 -2.25511263 -1.403672209 4.11554780 4.640659399
## 593 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 594 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 595 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 596 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 597 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 598 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 599 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 600 3.89574240 0.91104849 1.522734630 2.96389168 -1.737955147
## 601 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 602 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 603 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 604 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 605 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 606 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 607 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 608 0.66517088 -0.07231114 6.484188301 -2.53718755 3.296285008
## 609 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 610 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 611 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 612 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 613 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 614 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 615 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 616 1.30228301 -7.04630976 -8.231557042 -7.80803933 0.448994916
## 617 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 618 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 619 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 620 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 621 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 622 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 623 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 624 -24.60756680 -7.70911548 -26.468564852 39.19207372 36.511516384
## 625 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 626 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 627 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 628 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 629 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 630 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 631 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 632 -29.13455174 -2.14428687 6.430716708 -4.66485278 5.254671990
## 633 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 634 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 635 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 636 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 637 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 638 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 639 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 640 -9.97076608 -7.50128611 2.550011768 -21.33805481 -1.263620304
## 641 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 642 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 643 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 644 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 645 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 646 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 647 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 648 -1.49478696 1.20301182 -3.595406774 3.14555061 -2.605473690
## 649 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 650 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 651 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 652 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 653 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 654 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 655 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 656 -19.83120324 -27.63007049 -28.484940461 -15.85990057 26.151688597
## 657 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 658 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 659 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 660 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 661 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 662 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 663 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 664 13.79435081 -7.83320895 0.543492610 10.09541526 1.917848176
## 665 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 666 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 667 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 668 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 669 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 670 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 671 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 672 0.33290950 4.66906210 -1.378964228 1.68592968 0.446102185
## 673 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 674 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 675 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 676 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 677 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 678 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 679 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 680 -2.53438973 -1.96753516 5.146111613 1.09525963 -6.834999507
## 681 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 682 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 683 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 684 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 685 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 686 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 687 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 688 5.71877655 -2.80025792 0.098403547 9.10896163 -2.916496720
## 689 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 690 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 691 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 692 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 693 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 694 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 695 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 696 3.00829297 -0.46244760 -8.618889205 -0.48520404 -12.974914940
## 697 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 698 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 699 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 700 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 701 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 702 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 703 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 704 -2.07310351 -5.08058741 13.898955857 7.58316600 2.787891732
## 705 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 706 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 707 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 708 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 709 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 710 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 711 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 712 -2.88458865 1.19934648 -5.296773360 -8.20299361 -6.071652094
## 713 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 714 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 715 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 716 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 717 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 718 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 719 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 720 6.96269739 7.23583214 -10.873694627 -3.46250081 -8.217166164
## 721 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 722 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 723 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 724 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 725 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 726 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 727 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 728 -12.95702608 6.76325142 13.622172044 -10.99666230 4.669946319
## 729 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 730 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 731 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 732 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 733 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 734 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 735 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 736 0.64239652 3.82505723 1.889767022 2.77505772 0.606503333
## 737 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 738 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 739 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 740 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 741 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 742 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 743 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 744 21.66475946 -11.72280279 -11.115767105 2.29355599 -3.996286385
## 745 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 746 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 747 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 748 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 749 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 750 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 751 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 752 9.61002785 2.40484745 -14.390238469 -12.44090565 -12.124192724
## 753 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 754 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 755 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 756 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 757 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 758 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 759 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 760 5.98765395 -6.41620268 15.330833860 16.94425132 -12.097584092
## 761 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 762 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 763 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 764 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 765 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 766 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 767 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 768 27.16852646 -44.76099809 14.743756189 -12.53729384 2.516189006
## 769 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 770 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 771 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 772 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 773 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 774 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 775 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 776 2.77388870 -2.66078549 2.445399916 -7.65407245 -12.820593680
## 777 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 778 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 779 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 780 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 781 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 782 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 783 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 784 -0.15987221 -22.00903719 6.156914761 -7.08636965 4.310423747
## 785 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 786 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 787 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 788 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 789 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 790 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 791 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 792 -2.39112743 1.43834480 0.354975466 2.53588991 2.343566295
## 793 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 794 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 795 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 796 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 797 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 798 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## 799 6.08515121 -0.57569020 2.063332695 -3.53134924 4.034167362
## PC69_score PC70_score PC71_score PC72_score PC73_score PC74_score
## 1 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 2 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 3 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 4 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 5 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 6 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 7 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 8 0.04413868 -18.67989166 66.8429738 -7.43358625 -9.74678496 -13.5659133
## 9 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 10 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 11 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 12 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 13 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 14 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 15 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 16 -7.77586794 -6.98400998 3.9365765 -0.69022834 -0.82788808 5.5022303
## 17 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 18 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 19 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 20 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 21 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 22 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 23 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 24 -2.97296687 0.76669073 -10.9739189 -2.95041273 -4.35331528 9.6424402
## 25 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 26 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 27 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 28 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 29 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 30 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 31 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 32 -2.07070803 12.28430647 13.8107447 0.06377656 -7.61313203 -11.4946036
## 33 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 34 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 35 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 36 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 37 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 38 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 39 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 40 -15.89985466 -8.93785001 -5.8261192 17.08462823 29.96439745 1.5690116
## 41 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 42 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 43 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 44 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 45 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 46 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 47 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 48 -5.34628301 -0.50637705 -12.7425755 -11.92558106 1.32822541 -0.1933516
## 49 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 50 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 51 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 52 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 53 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 54 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 55 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 56 -2.07623574 -2.16324518 -4.0661912 2.34828988 1.47019443 1.3100402
## 57 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 58 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 59 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 60 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 61 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 62 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 63 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 64 25.39062490 3.26020890 2.5882160 0.95155848 -3.95223486 -2.6601542
## 65 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 66 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 67 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 68 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 69 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 70 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 71 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 72 20.81566393 7.69001521 -5.1445513 6.64915501 -18.15122217 -1.1261849
## 73 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 74 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 75 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 76 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 77 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 78 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 79 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 80 23.85461778 5.02414119 -19.8180473 -6.11024151 -22.05230777 1.4685816
## 81 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 82 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 83 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 84 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 85 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 86 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 87 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 88 -19.40771169 -20.48264653 2.4785939 36.65098186 -7.57203476 -13.3663882
## 89 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 90 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 91 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 92 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 93 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 94 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 95 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 96 4.15077990 3.80798201 -7.1145107 0.22069428 -1.40108746 2.4492536
## 97 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 98 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 99 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 100 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 101 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 102 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 103 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 104 -11.95045026 -2.34908269 -5.2891740 2.01807428 12.45822754 -18.2986122
## 105 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 106 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 107 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 108 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 109 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 110 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 111 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 112 -11.24557263 12.40681106 16.9034724 -8.70577606 1.69378910 4.2618575
## 113 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 114 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 115 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 116 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 117 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 118 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 119 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 120 -0.48429281 -2.58902095 -5.6635093 -2.04599572 5.46661453 0.6143950
## 121 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 122 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 123 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 124 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 125 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 126 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 127 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 128 13.20647223 12.75185192 3.0035206 -6.71162562 -2.33774539 -17.9924963
## 129 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 130 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 131 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 132 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 133 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 134 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 135 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 136 -10.83349488 -24.88288332 -16.5547587 -4.15045493 -9.51873502 -10.5241350
## 137 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 138 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 139 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 140 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 141 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 142 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 143 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 144 3.34308146 2.14315581 2.9131849 0.17764173 -0.16751334 -2.0451273
## 145 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 146 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 147 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 148 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 149 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 150 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 151 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 152 -0.68286189 12.70957408 -0.3383611 9.55622929 8.77183270 8.2274463
## 153 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 154 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 155 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 156 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 157 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 158 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 159 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 160 -3.20838666 -0.51177105 -6.6516872 -1.87417270 2.95889584 -0.4580767
## 161 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 162 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 163 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 164 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 165 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 166 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 167 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 168 -17.56448011 12.60897425 24.7810161 25.96365503 21.36431790 54.9261455
## 169 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 170 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 171 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 172 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 173 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 174 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 175 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 176 -4.53723588 1.28126160 3.9907971 -2.50508344 -2.82643647 1.5718410
## 177 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 178 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 179 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 180 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 181 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 182 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 183 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 184 -0.48292514 -0.07670882 -0.6876837 3.74399225 -7.14389168 11.2361606
## 185 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 186 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 187 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 188 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 189 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 190 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 191 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 192 -2.08980316 -2.55433577 3.2624639 3.39675275 -1.48640478 -0.7613080
## 193 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 194 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 195 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 196 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 197 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 198 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 199 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 200 -26.42858308 -2.30322936 -5.6821279 -6.44967125 12.57350959 -17.8176181
## 201 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 202 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 203 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 204 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 205 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 206 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 207 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 208 5.93121973 -0.36865465 -1.0066419 -0.17300100 1.42404416 6.4679505
## 209 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 210 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 211 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 212 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 213 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 214 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 215 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 216 1.06773454 4.26034960 -1.8866638 -2.77646411 -4.61322288 -0.2347658
## 217 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 218 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 219 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 220 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 221 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 222 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 223 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 224 -0.73101374 -0.23292005 -0.4025181 3.12688127 1.22172171 -1.9047741
## 225 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 226 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 227 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 228 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 229 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 230 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 231 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 232 -1.88590036 -1.78339431 -4.2751283 -8.53815649 -4.21867908 2.1211879
## 233 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 234 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 235 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 236 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 237 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 238 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 239 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 240 -1.77237828 0.89569002 -7.9859934 -4.61032744 0.48593258 4.8423550
## 241 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 242 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 243 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 244 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 245 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 246 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 247 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 248 11.70439846 3.03262320 17.3474571 -2.09429763 -4.75007217 -3.7610668
## 249 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 250 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 251 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 252 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 253 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 254 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 255 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 256 -8.59332519 26.10452837 17.7763825 -34.23108392 27.95021217 26.2136821
## 257 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 258 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 259 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 260 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 261 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 262 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 263 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 264 -3.11200872 -8.10984928 7.0102119 -10.04865712 3.42147483 11.8353613
## 265 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 266 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 267 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 268 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 269 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 270 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 271 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 272 -24.22021120 -23.92551591 -25.3391059 -7.68712595 7.80826119 -3.4745111
## 273 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 274 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 275 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 276 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 277 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 278 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 279 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 280 3.24798478 -1.58379232 2.6640594 -0.05293881 6.75513523 -0.1267719
## 281 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 282 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 283 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 284 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 285 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 286 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 287 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 288 3.87859452 -2.09210913 -2.9404488 7.86008692 0.04268940 -6.6424082
## 289 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 290 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 291 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 292 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 293 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 294 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 295 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 296 -12.59532136 27.20310664 -4.1893391 22.15238131 -28.33479307 21.7517612
## 297 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 298 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 299 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 300 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 301 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 302 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 303 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 304 2.56280972 8.02559971 -16.9176285 6.47375739 4.65229090 11.3203495
## 305 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 306 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 307 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 308 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 309 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 310 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 311 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 312 -8.55976648 5.62442237 -2.4915067 -6.42987540 2.92893901 15.1579802
## 313 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 314 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 315 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 316 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 317 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 318 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 319 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 320 4.18308308 -6.64096022 3.7598289 0.21799077 -0.08739534 -14.7416238
## 321 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 322 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 323 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 324 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 325 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 326 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 327 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 328 4.67952251 -4.41785240 1.7239619 -5.62449013 3.95828787 -1.6102289
## 329 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 330 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 331 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 332 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 333 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 334 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 335 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 336 12.71765127 -5.55128001 1.9160242 2.78143173 5.17709949 15.9990684
## 337 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 338 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 339 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 340 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 341 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 342 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 343 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 344 -5.04376594 1.65445498 6.5445124 -5.47141680 -8.58756225 7.7496145
## 345 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 346 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 347 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 348 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 349 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 350 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 351 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 352 -8.97889826 0.39519056 5.1687606 1.20591126 10.75102699 -2.3085222
## 353 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 354 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 355 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 356 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 357 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 358 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 359 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 360 8.39899619 -37.86635355 1.7397341 -15.41273735 -9.75539033 -6.7061832
## 361 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 362 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 363 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 364 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 365 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 366 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 367 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 368 -1.43165603 -0.76766078 1.9943419 -3.26263916 -1.10684775 4.0041195
## 369 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 370 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 371 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 372 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 373 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 374 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 375 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 376 1.54115644 13.93548760 38.0951547 11.20150920 -4.42465777 -43.4705177
## 377 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 378 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 379 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 380 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 381 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 382 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 383 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 384 -25.51977404 -16.90121103 -23.2136366 -10.46649194 -4.55308938 -19.7026962
## 385 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 386 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 387 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 388 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 389 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 390 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 391 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 392 -4.05481626 13.89889354 4.9968185 -6.43956895 -1.09290882 5.1892745
## 393 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 394 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 395 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 396 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 397 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 398 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 399 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 400 -1.65318496 2.93933233 -2.3763375 7.97227395 0.81268324 -5.4751883
## 401 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 402 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 403 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 404 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 405 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 406 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 407 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 408 -11.51204645 3.66508777 1.9245312 8.04237834 8.12876939 7.1077790
## 409 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 410 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 411 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 412 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 413 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 414 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 415 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 416 -7.79935345 -19.86299349 0.5506914 -9.33952258 -12.78056045 0.6242620
## 417 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 418 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 419 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 420 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 421 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 422 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 423 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 424 -14.51296563 21.51184146 -3.7340540 9.02497886 -2.60726482 9.9837583
## 425 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 426 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 427 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 428 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 429 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 430 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 431 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 432 3.28682691 6.63076443 -12.3329561 -12.25135079 -1.69166644 2.8795560
## 433 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 434 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 435 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 436 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 437 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 438 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 439 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 440 13.03335745 -25.05560722 -15.6222443 5.24730205 30.50802783 42.3486394
## 441 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 442 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 443 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 444 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 445 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 446 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 447 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 448 2.81564778 1.32033278 -1.5062471 -2.07004275 0.65222459 1.0399735
## 449 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 450 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 451 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 452 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 453 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 454 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 455 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 456 5.25846795 14.12356192 -24.8231020 3.12684969 22.34823019 -4.7450313
## 457 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 458 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 459 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 460 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 461 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 462 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 463 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 464 5.82254781 -7.87437981 11.1366854 -8.38431877 65.75362085 -30.4793356
## 465 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 466 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 467 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 468 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 469 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 470 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 471 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 472 -6.63658479 1.85652122 0.3062127 5.74760483 4.40596318 1.4094637
## 473 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 474 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 475 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 476 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 477 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 478 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 479 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 480 0.63950222 -2.26864081 2.0128387 -0.37600854 1.95458379 9.1164216
## 481 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 482 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 483 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 484 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 485 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 486 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 487 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 488 -0.16862350 -6.38090789 1.9347646 -2.07130711 -0.41702662 1.1690738
## 489 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 490 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 491 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 492 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 493 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 494 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 495 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 496 3.04536429 1.06117259 1.4333836 3.93745248 -0.91491679 6.3213077
## 497 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 498 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 499 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 500 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 501 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 502 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 503 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 504 8.05661939 -4.08777880 -2.0614610 0.48138987 -11.43759101 7.8931581
## 505 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 506 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 507 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 508 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 509 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 510 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 511 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 512 4.22814788 -0.24575004 -0.2733441 0.19570513 -6.60780356 -4.0249052
## 513 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 514 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 515 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 516 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 517 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 518 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 519 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 520 0.79954401 -4.46560126 13.0527782 1.83157970 6.53644864 -2.9998816
## 521 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 522 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 523 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 524 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 525 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 526 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 527 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 528 28.90114025 0.60827613 5.7878602 9.17007524 8.45956096 13.0026801
## 529 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 530 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 531 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 532 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 533 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 534 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 535 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 536 -5.12219306 6.14221897 1.6757504 -5.10630821 2.06635794 -3.0277854
## 537 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 538 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 539 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 540 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 541 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 542 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 543 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 544 4.82518024 -5.89515376 5.8551347 16.87437516 -16.45095710 -22.2620873
## 545 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 546 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 547 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 548 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 549 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 550 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 551 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 552 2.21606510 -0.62956904 1.3935711 8.26427457 -0.83908442 -6.3074251
## 553 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 554 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 555 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 556 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 557 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 558 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 559 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 560 2.74624866 -1.00036212 -2.2495497 -3.81094399 3.67129002 -11.9428977
## 561 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 562 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 563 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 564 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 565 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 566 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 567 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 568 20.97888137 42.63226101 -32.7543819 -52.15024747 -4.33213587 -20.8347343
## 569 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 570 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 571 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 572 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 573 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 574 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 575 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 576 1.00037433 -6.88851660 -2.6691312 3.57949907 2.34841953 6.3692002
## 577 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 578 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 579 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 580 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 581 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 582 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 583 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 584 -13.57320518 -4.87882121 -1.7703360 51.73617896 -6.58341182 -4.6220765
## 585 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 586 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 587 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 588 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 589 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 590 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 591 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 592 -3.37782155 -4.45217525 0.7609456 0.46820142 -1.34435487 -4.4077973
## 593 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 594 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 595 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 596 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 597 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 598 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 599 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 600 3.21442202 5.24508412 0.9282075 0.42430676 -2.35952650 -0.4639137
## 601 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 602 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 603 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 604 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 605 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 606 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 607 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 608 -14.40808979 -0.06959140 1.1340649 6.10408769 -21.03521017 -8.6492938
## 609 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 610 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 611 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 612 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 613 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 614 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 615 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 616 2.99444461 -5.32804970 -4.9237628 -1.27495502 -6.68058781 11.3427876
## 617 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 618 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 619 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 620 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 621 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 622 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 623 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 624 30.19093336 19.66877266 5.1114280 14.45199444 -10.43530610 -15.1953047
## 625 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 626 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 627 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 628 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 629 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 630 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 631 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 632 51.60661907 24.32416929 3.3038658 9.23859582 15.53346807 9.8423373
## 633 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 634 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 635 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 636 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 637 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 638 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 639 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 640 10.09990164 -8.52201008 -4.1296415 -0.52568786 20.77041575 -2.1244649
## 641 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 642 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 643 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 644 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 645 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 646 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 647 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 648 1.41747460 3.38932426 4.1338079 0.12061365 -5.36082594 3.3347639
## 649 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 650 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 651 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 652 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 653 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 654 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 655 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 656 -34.79394583 -10.42340651 18.5206714 -35.17900475 -28.46523563 15.2950936
## 657 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 658 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 659 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 660 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 661 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 662 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 663 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 664 -7.73930052 -4.41906468 -8.1312857 -7.84898469 7.39280168 0.7704984
## 665 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 666 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 667 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 668 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 669 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 670 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 671 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 672 2.68576899 -1.54446389 3.6381243 -1.86793873 2.45365935 2.9286106
## 673 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 674 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 675 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 676 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 677 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 678 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 679 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 680 2.02327885 -0.29616754 2.6594260 -4.90737513 6.11315048 -18.6246135
## 681 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 682 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 683 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 684 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 685 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 686 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 687 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 688 -3.16458753 -1.31795186 1.7574196 -1.26746775 12.35643632 0.3614908
## 689 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 690 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 691 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 692 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 693 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 694 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 695 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 696 -2.86923716 -0.09860047 -4.0830801 0.52201433 -0.63829246 0.8445716
## 697 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 698 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 699 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 700 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 701 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 702 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 703 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 704 1.21482647 1.28085372 6.1968907 -0.76310851 -1.70944131 3.5966563
## 705 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 706 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 707 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 708 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 709 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 710 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 711 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 712 -1.31307382 6.00309870 -0.1571245 6.95430662 -0.85872812 2.9421268
## 713 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 714 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 715 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 716 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 717 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 718 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 719 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 720 -8.81401701 -11.39861108 -16.0290175 16.38937994 3.06997634 17.2634526
## 721 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 722 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 723 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 724 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 725 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 726 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 727 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 728 -20.06762709 35.19412980 -4.3026551 17.50967219 -13.60513465 -26.3528106
## 729 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 730 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 731 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 732 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 733 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 734 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 735 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 736 2.34673382 -2.92431938 3.0967285 0.68570585 0.08390661 1.0064685
## 737 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 738 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 739 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 740 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 741 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 742 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 743 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 744 1.21309180 -26.52750482 -4.5946331 -26.63956691 -23.24962374 9.6246851
## 745 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 746 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 747 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 748 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 749 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 750 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 751 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 752 0.50381224 -1.78581664 20.4263680 -30.58265877 -14.34494411 7.8173741
## 753 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 754 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 755 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 756 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 757 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 758 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 759 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 760 -0.81099693 24.82390803 -16.4725348 25.89370228 -34.82056690 4.0254212
## 761 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 762 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 763 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 764 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 765 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 766 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 767 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 768 56.81888307 -36.53953342 14.8794886 8.89280461 -15.47197267 8.6872496
## 769 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 770 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 771 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 772 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 773 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 774 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 775 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 776 -3.73319833 -3.65316151 -14.6881227 -11.48077515 -9.82779265 4.6808539
## 777 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 778 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 779 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 780 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 781 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 782 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 783 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 784 7.23351461 0.78902486 -0.2809908 -17.80629172 4.26371222 1.2654419
## 785 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 786 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 787 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 788 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 789 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 790 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 791 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 792 -5.44119134 -0.62608614 -2.5447481 -0.51435333 1.57001798 2.4648959
## 793 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 794 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 795 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 796 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 797 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 798 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## 799 4.99092131 -4.19372856 -1.1661307 -5.92527300 -3.11290060 -4.6669629
## PC75_score PC76_score PC77_score PC78_score PC79_score PC80_score
## 1 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 2 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 3 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 4 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 5 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 6 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 7 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 8 16.43885996 0.212185197 24.9710078 2.8148912 -13.2502599 -3.93343122
## 9 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 10 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 11 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 12 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 13 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 14 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 15 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 16 1.52814085 2.049787372 4.6199823 4.0394298 1.9515211 -4.56161731
## 17 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 18 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 19 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 20 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 21 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 22 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 23 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 24 0.58932568 1.530143604 -1.3167166 3.0908395 0.5619257 4.98457521
## 25 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 26 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 27 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 28 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 29 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 30 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 31 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 32 -5.41472194 -6.662016663 -3.1295433 2.0098265 -16.9361649 2.28550718
## 33 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 34 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 35 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 36 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 37 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 38 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 39 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 40 -34.53430365 11.188262526 -6.6863195 -20.8889012 14.1540424 -5.79565151
## 41 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 42 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 43 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 44 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 45 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 46 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 47 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 48 -6.73857533 -10.982782203 -1.3951856 -11.5082118 14.1226000 0.68138043
## 49 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 50 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 51 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 52 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 53 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 54 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 55 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 56 -1.86390757 -2.353747009 0.1396719 6.0928760 1.5920581 1.84376515
## 57 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 58 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 59 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 60 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 61 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 62 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 63 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 64 11.31553834 -5.458445166 -8.1513694 1.9139962 -7.7038414 -2.18079909
## 65 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 66 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 67 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 68 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 69 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 70 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 71 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 72 15.80437463 -1.635154237 1.8195796 9.3300783 0.1955170 3.72013773
## 73 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 74 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 75 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 76 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 77 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 78 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 79 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 80 1.90406296 6.192191062 -9.0124832 -16.3787110 11.8466471 -4.55109058
## 81 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 82 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 83 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 84 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 85 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 86 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 87 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 88 -30.45085626 2.706934140 3.0510015 -8.4072330 23.6706147 1.68687660
## 89 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 90 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 91 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 92 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 93 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 94 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 95 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 96 5.62621355 -0.347559663 0.4544031 8.0549107 -5.4920708 -7.75678686
## 97 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 98 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 99 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 100 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 101 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 102 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 103 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 104 -7.21437476 -0.206043932 -0.1197790 2.0626068 -8.8912856 3.43465034
## 105 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 106 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 107 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 108 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 109 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 110 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 111 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 112 15.84440637 -9.495973551 8.4168406 9.7314941 -8.3788640 -5.54111853
## 113 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 114 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 115 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 116 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 117 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 118 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 119 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 120 2.11016015 -0.599552285 -0.4372927 -0.7612805 -1.9245092 -3.68723837
## 121 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 122 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 123 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 124 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 125 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 126 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 127 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 128 10.61096510 1.325306199 12.6752793 -7.3338151 -8.8644129 8.38156975
## 129 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 130 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 131 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 132 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 133 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 134 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 135 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 136 -10.86439162 -17.323212165 -6.8720757 9.9367363 2.9481058 8.32970154
## 137 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 138 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 139 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 140 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 141 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 142 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 143 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 144 0.27449000 -0.002494105 3.7113855 -0.7156272 0.2960514 2.47591673
## 145 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 146 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 147 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 148 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 149 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 150 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 151 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 152 -2.23763043 2.806375783 5.6156999 -8.8650340 11.2934429 -2.84315932
## 153 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 154 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 155 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 156 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 157 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 158 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 159 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 160 3.03311297 1.030385951 3.9820113 -2.6376711 1.6865664 -0.21796348
## 161 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 162 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 163 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 164 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 165 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 166 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 167 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 168 -33.02754043 -1.995380393 -16.8800807 11.2346091 16.2960684 14.75922383
## 169 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 170 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 171 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 172 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 173 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 174 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 175 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 176 1.19390385 -1.082221578 -0.8701935 3.7400385 2.4566478 -7.88689218
## 177 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 178 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 179 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 180 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 181 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 182 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 183 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 184 0.85916883 -5.660904320 5.8975819 7.4143399 2.8904921 5.60058081
## 185 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 186 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 187 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 188 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 189 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 190 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 191 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 192 -1.43919287 3.530990797 -0.8340101 0.6554741 1.9155803 -2.90005156
## 193 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 194 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 195 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 196 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 197 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 198 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 199 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 200 8.69046168 22.013970330 1.4167476 -20.6010773 13.0541976 -11.28642092
## 201 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 202 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 203 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 204 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 205 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 206 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 207 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 208 -1.48342957 -3.067015599 5.7969554 3.8312426 -3.1257364 3.57825111
## 209 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 210 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 211 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 212 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 213 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 214 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 215 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 216 5.33948393 -2.663389941 1.3150821 -2.4380090 -2.4702397 1.65331505
## 217 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 218 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 219 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 220 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 221 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 222 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 223 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 224 -0.11663255 -0.066521023 -1.1216738 -0.2287766 -0.3073082 -1.50049471
## 225 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 226 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 227 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 228 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 229 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 230 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 231 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 232 -3.37574154 4.535835511 1.5672499 -5.0646996 -4.6034650 1.37237431
## 233 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 234 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 235 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 236 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 237 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 238 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 239 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 240 -3.45967130 -0.221114535 -6.7453413 -5.2330754 -6.1842226 -0.43711796
## 241 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 242 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 243 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 244 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 245 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 246 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 247 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 248 -13.77849021 -14.174635966 1.9148718 -18.9353366 -21.6046601 3.82518923
## 249 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 250 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 251 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 252 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 253 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 254 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 255 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 256 27.97651975 37.967769053 4.3415362 3.7178998 -24.8398224 27.21820837
## 257 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 258 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 259 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 260 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 261 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 262 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 263 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 264 -16.51479473 -1.570364614 0.1422218 -1.9728548 9.5246332 2.31164403
## 265 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 266 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 267 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 268 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 269 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 270 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 271 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 272 6.70065796 -1.543422792 -4.7320100 -2.2407417 -4.2720446 0.03981954
## 273 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 274 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 275 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 276 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 277 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 278 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 279 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 280 -5.04396766 2.980062877 1.0032229 -4.0733604 0.8384428 11.65037593
## 281 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 282 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 283 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 284 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 285 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 286 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 287 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 288 0.76891220 -0.868622123 11.2313363 -0.8207676 -0.7189409 -6.98173268
## 289 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 290 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 291 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 292 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 293 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 294 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 295 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 296 26.36835068 27.262860131 1.6843466 -14.3950713 65.4610085 -13.95774359
## 297 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 298 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 299 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 300 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 301 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 302 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 303 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 304 2.16559235 2.134502115 -6.9866807 -13.5185264 -7.2611336 16.70534497
## 305 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 306 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 307 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 308 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 309 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 310 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 311 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 312 11.97006672 -3.853130107 -1.3082849 -0.5275603 -0.6715743 2.60154155
## 313 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 314 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 315 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 316 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 317 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 318 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 319 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 320 2.85913558 10.421141517 -2.8614038 -0.7341946 -4.0428148 -1.37923514
## 321 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 322 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 323 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 324 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 325 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 326 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 327 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 328 0.56192755 -2.670770421 -9.6588639 3.5945465 -11.1073730 -3.24293296
## 329 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 330 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 331 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 332 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 333 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 334 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 335 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 336 -5.29654888 -27.502306476 -6.6114606 -8.9416203 1.4071464 18.49091873
## 337 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 338 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 339 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 340 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 341 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 342 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 343 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 344 8.14980311 -6.683493690 -1.1937797 -0.6619518 -0.9471853 3.70935367
## 345 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 346 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 347 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 348 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 349 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 350 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 351 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 352 -2.85092898 -2.618813242 -0.4262539 -3.0634481 -2.5431120 -2.67548219
## 353 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 354 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 355 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 356 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 357 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 358 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 359 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 360 -18.06788738 49.956238025 -24.3280746 26.9547298 17.7651694 20.35030922
## 361 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 362 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 363 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 364 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 365 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 366 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 367 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 368 -0.32717734 0.415509621 1.4810304 1.8586014 0.3256243 2.68663003
## 369 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 370 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 371 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 372 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 373 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 374 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 375 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 376 -9.66869480 -26.778906144 -21.2724586 -14.5888861 0.4307489 5.18967349
## 377 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 378 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 379 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 380 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 381 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 382 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 383 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 384 30.36408722 -17.025299553 45.8669459 -36.6656304 -1.1119188 -30.98828435
## 385 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 386 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 387 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 388 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 389 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 390 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 391 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 392 -8.64763212 -8.893191015 0.5045334 11.0324983 0.3596831 -2.91903807
## 393 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 394 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 395 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 396 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 397 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 398 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 399 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 400 5.47820943 2.742659705 -1.8107102 8.9164781 -4.2722410 -0.27094309
## 401 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 402 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 403 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 404 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 405 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 406 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 407 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 408 2.01527227 3.743617949 -4.2129644 6.3956276 -0.9567496 0.68790823
## 409 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 410 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 411 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 412 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 413 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 414 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 415 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 416 13.28353508 -6.524574615 -3.6857094 9.3746366 11.1792464 1.26571101
## 417 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 418 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 419 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 420 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 421 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 422 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 423 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 424 -0.05824533 11.730833341 4.4550242 18.7936300 -19.9377591 -29.27119214
## 425 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 426 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 427 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 428 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 429 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 430 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 431 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 432 7.55897575 -3.467168192 -7.9790263 -3.2730222 13.9053913 -4.86334102
## 433 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 434 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 435 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 436 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 437 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 438 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 439 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 440 -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 441 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 442 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 443 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 444 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 445 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 446 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 447 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 448 -0.40556752 -3.817959963 2.9708034 -1.2581672 -3.1604096 4.87316756
## 449 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 450 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 451 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 452 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 453 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 454 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 455 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 456 17.46367534 -7.909862609 7.4906006 -12.0077053 0.2379518 5.29199546
## 457 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 458 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 459 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 460 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 461 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 462 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 463 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 464 -27.85397903 24.976050491 5.1970930 -9.1396790 -3.3540734 -14.39744196
## 465 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 466 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 467 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 468 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 469 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 470 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 471 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 472 15.15220778 16.704324854 3.3741574 -1.4105251 -1.9456330 -0.76223008
## 473 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 474 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 475 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 476 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 477 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 478 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 479 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 480 0.44015038 -3.540505954 0.5733658 -6.1674338 -1.7755901 -3.55344972
## 481 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 482 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 483 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 484 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 485 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 486 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 487 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 488 4.12657390 2.270321451 -3.4188244 -2.6955860 -3.6458956 2.33902622
## 489 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 490 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 491 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 492 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 493 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 494 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 495 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 496 -3.90589478 0.189961041 3.2059632 0.3488835 -1.4195194 -1.73808327
## 497 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 498 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 499 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 500 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 501 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 502 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 503 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 504 -16.69677076 -14.806015275 3.8981149 -12.5011887 4.3309527 -14.89026865
## 505 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 506 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 507 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 508 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 509 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 510 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 511 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 512 -3.33467360 4.558752807 -5.3299465 0.5478739 -2.6613959 1.84954826
## 513 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 514 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 515 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 516 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 517 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 518 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 519 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 520 -1.84376189 -6.972210069 -2.9991396 -3.8801812 3.9757200 -1.61103628
## 521 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 522 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 523 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 524 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 525 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 526 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 527 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 528 -7.26530104 4.118355223 -4.6833283 3.2662104 -6.0706890 2.67177024
## 529 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 530 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 531 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 532 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 533 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 534 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 535 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 536 -2.12327551 -2.307021284 -3.8145806 -1.0780040 -0.5420507 -4.42587907
## 537 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 538 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 539 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 540 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 541 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 542 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 543 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 544 -22.54868575 -15.723951952 -12.0753275 5.4524695 9.7593347 -8.61481506
## 545 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 546 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 547 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 548 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 549 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 550 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 551 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 552 2.74674799 4.120660274 4.1610905 2.4881469 0.4315070 -2.97150112
## 553 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 554 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 555 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 556 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 557 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 558 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 559 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 560 2.00688499 0.609975726 1.0947671 2.2317832 -3.2112363 8.01812712
## 561 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 562 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 563 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 564 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 565 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 566 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 567 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 568 -37.34631046 -28.226202161 9.6659926 11.3642989 28.2063238 38.40223152
## 569 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 570 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 571 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 572 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 573 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 574 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 575 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 576 7.10514439 -4.185646342 -2.7571758 4.0652850 -5.1702394 0.81991764
## 577 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 578 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 579 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 580 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 581 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 582 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 583 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 584 3.23895946 -15.601792604 40.8770683 44.8672603 -8.8644408 34.96351785
## 585 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 586 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 587 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 588 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 589 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 590 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 591 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 592 1.83934606 2.633321331 4.5123632 1.6380711 -1.2610217 -4.67481804
## 593 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 594 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 595 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 596 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 597 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 598 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 599 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 600 -3.78267238 0.915169396 3.7968734 -2.5622636 1.4764032 0.39482323
## 601 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 602 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 603 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 604 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 605 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 606 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 607 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 608 -8.28242668 -0.634480003 37.1234661 28.3426906 -10.4917844 -3.82108530
## 609 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 610 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 611 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 612 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 613 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 614 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 615 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 616 0.02054787 6.558039179 3.3683612 3.1687848 -5.6993476 4.48668315
## 617 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 618 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 619 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 620 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 621 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 622 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 623 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 624 -12.76943757 22.431481936 -3.4922201 -13.8077399 6.3871156 -23.99901225
## 625 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 626 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 627 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 628 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 629 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 630 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 631 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 632 -1.78270274 4.625686780 39.2208147 3.6793950 2.6518431 -15.31619124
## 633 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 634 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 635 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 636 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 637 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 638 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 639 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 640 36.31383994 -13.997392447 -12.6703637 17.3622696 14.2237766 38.67975965
## 641 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 642 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 643 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 644 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 645 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 646 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 647 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 648 2.02466952 -2.564983004 0.2693763 0.3665563 2.2704336 -0.86175878
## 649 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 650 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 651 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 652 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 653 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 654 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 655 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 656 2.01058434 -27.476099814 -33.5403068 -5.8342997 -17.6802582 1.78748426
## 657 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 658 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 659 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 660 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 661 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 662 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 663 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 664 -3.47687873 4.829643333 -8.0353229 3.5352425 1.4530822 4.33522843
## 665 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 666 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 667 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 668 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 669 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 670 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 671 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 672 0.05498740 0.615915574 -1.3389885 3.5681466 -0.5401853 -0.11609935
## 673 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 674 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 675 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 676 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 677 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 678 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 679 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 680 5.00344426 7.856721325 -6.3715148 5.8498061 -2.4111295 -7.04563754
## 681 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 682 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 683 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 684 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 685 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 686 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 687 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 688 3.15283899 -6.923091815 -1.9352035 0.2426840 3.7869543 1.35073864
## 689 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 690 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 691 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 692 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 693 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 694 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 695 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 696 -0.41380677 2.980470140 10.7643600 11.4720834 -2.6603587 -19.59744869
## 697 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 698 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 699 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 700 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 701 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 702 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 703 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 704 7.19618151 -0.762127734 5.4194673 -15.0121030 9.3355500 8.01893787
## 705 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 706 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 707 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 708 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 709 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 710 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 711 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 712 5.65081109 -2.874663814 4.2787649 1.5126854 -1.1274306 -0.89839795
## 713 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 714 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 715 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 716 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 717 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 718 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 719 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 720 9.69607334 -3.091811923 7.5034256 -1.9451951 11.8661706 17.01016342
## 721 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 722 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 723 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 724 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 725 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 726 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 727 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 728 18.48191182 15.458776208 -56.7189110 -3.7964699 -11.7107321 -8.99919730
## 729 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 730 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 731 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 732 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 733 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 734 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 735 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 736 0.03132931 0.874178659 0.7623497 3.9223778 -0.1107274 1.70522582
## 737 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 738 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 739 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 740 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 741 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 742 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 743 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 744 -38.03510186 14.072820012 20.9425356 14.6617024 -4.5231093 -16.31885529
## 745 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 746 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 747 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 748 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 749 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 750 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 751 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 752 -3.89092495 34.630936175 0.8788620 12.7998683 -1.5339965 -6.18505358
## 753 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 754 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 755 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 756 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 757 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 758 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 759 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 760 -23.69572491 11.256877816 -7.7697932 -34.4863937 -58.0376141 22.83254423
## 761 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 762 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 763 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 764 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 765 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 766 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 767 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 768 25.85368819 -10.670850723 -28.9579539 6.1122369 15.8299452 -20.15325792
## 769 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 770 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 771 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 772 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 773 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 774 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 775 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 776 8.38227855 4.842555428 -0.8093777 2.8864721 2.4165763 -8.25621578
## 777 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 778 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 779 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 780 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 781 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 782 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 783 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 784 -1.88551721 6.858390968 2.9035808 -13.3307181 1.8330637 3.09293974
## 785 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 786 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 787 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 788 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 789 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 790 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 791 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 792 2.46309778 3.395473546 2.9181588 -1.1708779 0.7837817 1.70756661
## 793 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 794 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 795 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 796 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 797 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 798 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## 799 -2.16659077 -1.106325841 7.9258267 -4.1398346 2.6957325 1.70528921
## PC81_score PC82_score PC83_score PC84_score PC85_score PC86_score
## 1 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 2 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 3 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 4 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 5 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 6 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 7 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 8 -1.02192867 14.6118687 -19.10645960 13.0855936 -45.4572281 -5.51080629
## 9 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 10 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 11 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 12 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 13 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 14 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 15 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 16 5.96803926 7.5273427 5.23406293 -3.6200080 1.5743319 -2.42250632
## 17 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 18 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 19 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 20 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 21 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 22 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 23 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 24 3.06409374 -8.5499793 -3.58616308 -1.6716963 0.3483971 -0.31838822
## 25 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 26 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 27 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 28 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 29 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 30 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 31 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 32 -2.48331426 4.3367629 -4.26684737 -2.8694235 0.5914854 3.79003639
## 33 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 34 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 35 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 36 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 37 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 38 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 39 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 40 -9.23570085 35.6170402 -16.88258221 4.4026713 -5.6005319 -13.69739592
## 41 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 42 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 43 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 44 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 45 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 46 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 47 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 48 -9.29020186 1.9903961 9.04554888 -14.3094846 -19.3390781 -5.75450826
## 49 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 50 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 51 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 52 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 53 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 54 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 55 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 56 -4.62523119 -0.7817142 0.34467503 -1.4103298 -3.9526745 -0.89449954
## 57 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 58 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 59 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 60 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 61 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 62 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 63 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 64 0.47067010 7.6487920 8.55802236 -10.1748659 8.1144440 -2.95476271
## 65 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 66 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 67 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 68 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 69 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 70 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 71 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 72 -5.68828414 -1.7133110 6.60106385 10.0133098 -2.1301008 9.08403994
## 73 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 74 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 75 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 76 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 77 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 78 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 79 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 80 5.79654771 0.9418986 2.03844063 -2.5548243 11.2792611 6.23835403
## 81 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 82 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 83 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 84 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 85 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 86 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 87 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 88 2.82655931 -67.7021104 -9.72754532 12.7276663 -46.7296915 21.88920256
## 89 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 90 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 91 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 92 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 93 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 94 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 95 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 96 2.48598061 3.6501479 4.08567557 5.2703805 1.5549710 0.03803408
## 97 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 98 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 99 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 100 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 101 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 102 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 103 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 104 -4.59958068 -0.9375568 -5.14733649 -9.6800311 4.3940675 7.30500472
## 105 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 106 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 107 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 108 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 109 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 110 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 111 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 112 18.48056447 -16.2316568 6.13448787 12.8573394 1.9393742 -33.34615023
## 113 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 114 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 115 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 116 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 117 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 118 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 119 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 120 -1.81645902 -0.5285158 1.23838453 -2.0192481 0.8606156 -0.58789191
## 121 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 122 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 123 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 124 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 125 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 126 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 127 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 128 -6.59439835 -6.4734140 -4.60911633 4.6374514 -6.0677999 -0.39612312
## 129 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 130 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 131 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 132 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 133 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 134 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 135 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 136 2.64432849 -2.3520599 14.81509328 -1.3446884 4.2612675 -8.74191899
## 137 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 138 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 139 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 140 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 141 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 142 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 143 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 144 -0.78254484 2.0313290 0.66715165 -2.0650276 -0.1150546 1.08996876
## 145 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 146 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 147 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 148 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 149 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 150 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 151 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 152 -6.30997706 17.3020689 14.02477920 3.2826709 1.3494060 11.14931523
## 153 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 154 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 155 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 156 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 157 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 158 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 159 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 160 0.34878827 1.0040531 1.48268414 -4.3890534 -0.6458476 0.19097141
## 161 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 162 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 163 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 164 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 165 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 166 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 167 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 168 -0.17383584 -0.9944092 10.40506287 24.1130097 -4.2800466 -1.95354202
## 169 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 170 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 171 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 172 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 173 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 174 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 175 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 176 3.08858435 -1.2354998 2.97099739 -3.9736815 5.9773900 -2.57196159
## 177 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 178 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 179 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 180 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 181 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 182 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 183 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 184 -4.78421105 -3.8465278 -10.58458330 -2.1745126 14.6762483 0.62636225
## 185 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 186 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 187 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 188 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 189 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 190 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 191 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 192 0.19757379 2.6202724 -0.18304460 0.2648944 0.8677139 1.38287817
## 193 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 194 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 195 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 196 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 197 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 198 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 199 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 200 9.76225194 3.7888239 -0.41059029 -5.4569285 7.5622021 -4.13424328
## 201 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 202 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 203 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 204 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 205 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 206 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 207 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 208 2.57925109 -8.3064125 -2.95607061 3.6233079 1.9095255 -1.99152303
## 209 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 210 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 211 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 212 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 213 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 214 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 215 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 216 1.42026537 6.0033426 4.29461758 1.5587828 5.0426509 0.38462727
## 217 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 218 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 219 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 220 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 221 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 222 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 223 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 224 -0.69314561 -1.1429891 0.97858451 0.3019233 0.5730056 -1.01684881
## 225 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 226 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 227 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 228 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 229 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 230 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 231 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 232 3.10870660 -7.7874965 3.37057271 -8.4415072 -3.0820300 -4.00714042
## 233 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 234 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 235 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 236 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 237 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 238 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 239 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 240 0.32201696 -6.9845850 -2.49699891 -0.5421265 -0.3926746 3.44117213
## 241 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 242 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 243 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 244 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 245 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 246 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 247 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 248 2.79079980 18.6893595 -7.32978241 7.7975900 -8.4492973 -13.30158538
## 249 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 250 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 251 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 252 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 253 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 254 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 255 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 256 -14.51941885 -16.8440529 -6.53119175 14.1636828 14.9639739 43.10067047
## 257 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 258 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 259 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 260 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 261 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 262 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 263 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 264 -0.54236833 1.3484916 1.12081974 -3.5494916 16.8043031 28.65723915
## 265 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 266 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 267 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 268 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 269 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 270 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 271 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 272 5.60491996 4.8015632 -3.03331709 6.4168241 -3.4909001 12.84255811
## 273 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 274 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 275 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 276 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 277 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 278 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 279 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 280 -6.24611450 -3.5859414 -3.27646287 -9.5944945 -0.3377090 -0.02680012
## 281 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 282 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 283 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 284 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 285 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 286 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 287 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 288 -6.73203189 1.3994702 1.44939320 -2.5471230 4.1453305 9.18128009
## 289 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 290 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 291 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 292 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 293 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 294 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 295 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 296 -25.66536732 -7.9811118 7.50678412 7.1754472 4.9001392 -14.57016510
## 297 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 298 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 299 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 300 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 301 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 302 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 303 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 304 22.26890443 2.6996639 -27.31524136 19.7300225 21.0409299 -8.42367376
## 305 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 306 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 307 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 308 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 309 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 310 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 311 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 312 -1.74312261 -11.4280592 2.99026426 -1.8683297 -2.7933063 -12.89954110
## 313 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 314 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 315 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 316 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 317 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 318 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 319 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 320 -5.22768159 -5.5399215 -6.03795269 -2.2121935 -6.3669914 -5.56446019
## 321 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 322 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 323 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 324 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 325 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 326 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 327 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 328 -1.77233244 -0.5865031 4.89430648 0.2169346 -7.0901365 2.31129005
## 329 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 330 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 331 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 332 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 333 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 334 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 335 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 336 53.09839034 -11.6094524 -30.07915872 -47.4386610 23.5686751 15.71480717
## 337 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 338 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 339 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 340 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 341 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 342 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 343 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 344 5.44904622 3.4696514 0.45076109 -1.6227226 3.9101022 -3.88817100
## 345 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 346 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 347 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 348 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 349 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 350 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 351 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 352 4.78543100 6.8266095 5.63195813 -6.5432252 -1.4153467 -6.04320123
## 353 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 354 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 355 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 356 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 357 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 358 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 359 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 360 0.09196916 16.2561591 -32.58695366 10.9518560 17.9182513 -18.41298901
## 361 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 362 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 363 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 364 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 365 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 366 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 367 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 368 1.42574120 6.1651912 0.61600225 -1.5689878 -5.4176747 4.16611169
## 369 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 370 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 371 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 372 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 373 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 374 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 375 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 376 -2.23718339 -46.1918518 34.85453248 5.4817492 36.3519814 7.89248747
## 377 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 378 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 379 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 380 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 381 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 382 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 383 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 384 -0.73181396 4.2817427 -19.29941138 12.9394738 3.0197344 24.39991722
## 385 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 386 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 387 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 388 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 389 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 390 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 391 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 392 2.25081044 -0.5238133 0.01019672 -1.4150255 9.3459627 4.58917306
## 393 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 394 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 395 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 396 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 397 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 398 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 399 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 400 1.68728797 1.6856535 -1.33110681 -2.7825390 1.4488159 -5.03532029
## 401 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 402 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 403 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 404 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 405 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 406 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 407 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 408 3.26520419 -1.8506943 0.65935710 -5.2341334 2.5793114 -3.39296882
## 409 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 410 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 411 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 412 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 413 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 414 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 415 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 416 5.15524968 1.4142954 -17.69313513 -3.4354354 12.2316374 5.00821976
## 417 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 418 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 419 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 420 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 421 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 422 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 423 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 424 18.50460069 2.3817499 27.84327838 -15.2712075 2.0288302 -37.66744007
## 425 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 426 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 427 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 428 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 429 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 430 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 431 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 432 -2.91699666 7.4407023 2.11018323 3.0081018 2.2454666 9.38441680
## 433 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 434 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 435 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 436 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 437 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 438 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 439 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 440 -16.42924209 3.1876635 25.39034125 6.9767531 -27.2581920 5.14761817
## 441 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 442 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 443 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 444 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 445 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 446 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 447 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 448 -0.89472558 2.3247661 3.71579775 -3.3811516 0.2323418 0.46614154
## 449 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 450 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 451 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 452 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 453 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 454 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 455 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 456 40.28848108 -26.7480932 -27.44470646 31.4972330 -2.8597346 -51.95541349
## 457 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 458 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 459 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 460 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 461 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 462 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 463 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 464 -3.05929786 2.1335622 -9.63327134 -6.0389835 4.5062513 -6.13099395
## 465 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 466 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 467 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 468 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 469 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 470 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 471 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 472 -9.26563673 -1.5436557 8.79725123 -5.5396252 -4.2662139 -7.99921366
## 473 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 474 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 475 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 476 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 477 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 478 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 479 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 480 0.26410646 -2.4154210 8.64741884 -0.1562561 -1.2963100 -0.29558184
## 481 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 482 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 483 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 484 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 485 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 486 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 487 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 488 0.09085834 -1.5087907 -4.67705298 -0.5975206 0.3306274 2.27110988
## 489 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 490 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 491 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 492 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 493 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 494 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 495 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 496 0.01454329 -1.6982717 -0.19891402 0.9507481 1.6843894 1.84749831
## 497 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 498 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 499 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 500 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 501 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 502 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 503 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 504 -27.70441867 10.8890191 3.03304573 10.8473503 16.4085388 5.17186395
## 505 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 506 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 507 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 508 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 509 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 510 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 511 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 512 4.17197688 -1.7108397 6.23359374 3.5592454 1.1032514 -1.13866801
## 513 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 514 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 515 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 516 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 517 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 518 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 519 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 520 -2.46206153 1.1757588 -1.66910246 2.9840992 2.8264663 6.99933764
## 521 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 522 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 523 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 524 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 525 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 526 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 527 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 528 7.39851887 1.2965234 9.84971321 5.5175444 10.0384010 -1.42327601
## 529 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 530 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 531 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 532 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 533 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 534 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 535 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 536 -2.36660358 0.8867867 6.71817001 4.1642314 -1.6636691 -1.39080777
## 537 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 538 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 539 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 540 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 541 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 542 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 543 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 544 9.16423324 7.7801670 -10.78990689 -1.0554430 1.0292671 -6.01244368
## 545 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 546 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 547 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 548 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 549 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 550 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 551 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 552 -6.89725199 -2.5602011 4.59247310 -9.8102014 -1.9433630 -9.54071050
## 553 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 554 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 555 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 556 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 557 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 558 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 559 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 560 0.36805737 0.3449831 -8.28368013 -2.8613380 -1.8022980 1.15343649
## 561 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 562 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 563 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 564 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 565 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 566 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 567 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 568 -1.36684771 17.3167024 12.76846730 27.3627015 -34.8957812 0.99900274
## 569 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 570 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 571 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 572 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 573 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 574 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 575 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 576 1.01291953 -2.0039852 -4.92342726 -5.3390017 -7.0438389 1.57132824
## 577 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 578 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 579 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 580 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 581 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 582 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 583 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 584 14.62126812 17.2397480 -0.06248011 9.6842699 3.4233113 24.40626140
## 585 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 586 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 587 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 588 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 589 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 590 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 591 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 592 -4.53718204 -0.4958390 -0.43536797 4.8410514 2.1548986 1.00273514
## 593 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 594 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 595 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 596 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 597 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 598 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 599 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 600 -0.21141672 -2.2652172 1.38052853 2.0727199 1.8590479 -0.40261365
## 601 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 602 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 603 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 604 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 605 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 606 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 607 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 608 -16.42758728 26.1120982 3.62251803 2.8085134 16.7377381 -22.65426694
## 609 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 610 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 611 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 612 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 613 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 614 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 615 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 616 17.15546647 -7.4603120 6.97579495 -3.3762277 -4.5196635 -0.94137798
## 617 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 618 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 619 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 620 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 621 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 622 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 623 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 624 -4.75194516 3.3205345 -15.63058993 -9.2285364 2.1443832 3.31505969
## 625 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 626 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 627 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 628 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 629 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 630 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 631 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 632 8.24562219 0.3991036 -6.46953990 -3.8522097 -15.4902366 12.25329685
## 633 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 634 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 635 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 636 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 637 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 638 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 639 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 640 -44.32058875 -12.7113506 -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 641 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 642 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 643 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 644 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 645 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 646 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 647 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 648 -2.36482639 -1.2133334 -4.96339717 -1.5060087 6.0792691 1.20873487
## 649 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 650 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 651 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 652 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 653 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 654 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 655 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 656 -9.79851228 2.6060770 -13.16042736 24.5327234 0.0961011 -12.91713381
## 657 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 658 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 659 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 660 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 661 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 662 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 663 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 664 1.02371033 2.3023967 6.42562381 -1.7312347 -0.9155250 -0.91434342
## 665 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 666 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 667 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 668 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 669 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 670 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 671 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 672 3.22900838 0.7350085 -3.25559582 0.3835021 -3.8914944 -0.03752776
## 673 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 674 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 675 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 676 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 677 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 678 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 679 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 680 -4.01383558 -4.4124422 8.08600744 3.7628052 -3.8479457 12.94573994
## 681 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 682 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 683 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 684 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 685 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 686 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 687 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 688 4.33988890 4.9002306 1.84986043 2.8690055 0.6962239 -5.21443721
## 689 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 690 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 691 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 692 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 693 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 694 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 695 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 696 -6.42678308 2.2808450 6.10229513 -14.2454923 1.0734262 -20.19567217
## 697 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 698 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 699 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 700 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 701 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 702 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 703 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 704 4.48002129 3.3894781 5.47937456 -0.8062548 2.0992498 5.20646522
## 705 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 706 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 707 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 708 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 709 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 710 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 711 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 712 4.77926020 -6.8995374 -0.95893365 -7.5898419 0.1647632 -4.13973696
## 713 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 714 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 715 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 716 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 717 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 718 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 719 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 720 0.51021188 14.4583858 -10.08261698 -0.2820225 -17.1214660 20.16429495
## 721 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 722 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 723 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 724 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 725 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 726 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 727 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 728 41.20182225 38.4058391 10.86632506 -18.3182904 -36.7643481 26.11721658
## 729 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 730 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 731 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 732 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 733 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 734 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 735 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 736 0.94635620 -0.9287818 -0.08832294 1.1610778 0.7088975 -0.40148262
## 737 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 738 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 739 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 740 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 741 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 742 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 743 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 744 7.59141546 -8.5136654 25.56496958 -38.3486471 8.8534174 8.18544153
## 745 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 746 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 747 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 748 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 749 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 750 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 751 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 752 9.17833677 -15.4139667 8.99973892 9.2624290 -32.2125442 8.48021645
## 753 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 754 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 755 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 756 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 757 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 758 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 759 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 760 -49.69174702 -5.2073531 -34.06799477 -9.7902210 0.5695930 -6.41181621
## 761 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 762 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 763 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 764 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 765 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 766 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 767 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 768 -0.74657438 8.7399586 -15.19618014 21.3987520 -3.2261766 1.96691264
## 769 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 770 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 771 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 772 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 773 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 774 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 775 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 776 2.51769706 0.6107515 2.87312237 -4.5704158 9.1924203 25.28560332
## 777 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 778 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 779 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 780 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 781 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 782 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 783 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 784 3.31216994 -6.4118345 0.82805749 -5.8499419 9.0493295 2.21152334
## 785 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 786 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 787 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 788 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 789 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 790 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 791 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 792 -0.16147849 -0.5780999 -1.24237859 0.1330486 -3.5533402 -1.20111830
## 793 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 794 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 795 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 796 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 797 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 798 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## 799 3.40776056 2.8767847 -4.94585507 4.4571905 1.4523265 -3.94288917
## PC87_score PC88_score PC89_score PC90_score PC91_score
## 1 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 2 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 3 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 4 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 5 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 6 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 7 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 8 2.12481704 22.23381805 -10.5750638 -5.02834747 -14.20574073
## 9 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 10 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 11 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 12 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 13 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 14 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 15 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 16 2.92748842 9.03150365 0.1307694 -3.03880083 -10.85100132
## 17 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 18 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 19 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 20 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 21 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 22 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 23 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 24 -1.94531011 0.35922888 -1.0302025 -0.67035964 2.96228841
## 25 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 26 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 27 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 28 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 29 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 30 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 31 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 32 -8.66999005 2.07482618 1.1525453 6.68322590 7.88893203
## 33 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 34 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 35 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 36 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 37 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 38 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 39 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 40 -4.88398245 -9.05020449 3.3787795 -3.40537036 -4.33532071
## 41 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 42 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 43 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 44 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 45 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 46 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 47 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 48 3.03683608 -0.38797484 0.5803625 -8.69260638 -13.66909426
## 49 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 50 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 51 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 52 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 53 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 54 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 55 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 56 4.26419544 -0.31661369 2.6262262 2.04663968 0.57822068
## 57 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 58 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 59 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 60 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 61 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 62 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 63 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 64 -12.30453254 5.49796469 -0.5531470 -0.95364116 0.73069029
## 65 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 66 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 67 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 68 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 69 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 70 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 71 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 72 -0.72164716 -4.12736314 -3.5758640 2.93494412 -1.15337441
## 73 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 74 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 75 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 76 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 77 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 78 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 79 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 80 -4.54818239 -1.80152312 -0.6561219 1.53201196 -1.56333516
## 81 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 82 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 83 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 84 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 85 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 86 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 87 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 88 43.53553320 -3.08558278 8.9735374 2.04989991 -5.22003683
## 89 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 90 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 91 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 92 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 93 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 94 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 95 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 96 0.40134497 2.52193450 -6.4655498 -3.46741011 -2.99980276
## 97 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 98 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 99 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 100 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 101 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 102 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 103 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 104 -0.40931369 -3.86346277 5.0590912 -1.93718264 11.36963799
## 105 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 106 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 107 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 108 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 109 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 110 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 111 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 112 10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 113 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 114 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 115 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 116 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 117 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 118 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 119 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 120 -0.17934216 -5.70687574 -0.3954329 -0.34082370 3.69389447
## 121 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 122 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 123 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 124 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 125 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 126 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 127 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 128 4.58378878 -2.50668351 -5.2473524 -3.69757029 0.92593320
## 129 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 130 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 131 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 132 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 133 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 134 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 135 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 136 -24.89982305 -5.10302888 -8.9684292 4.18858730 -3.73334638
## 137 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 138 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 139 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 140 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 141 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 142 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 143 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 144 0.04017312 -0.04062595 -0.7254851 0.15592969 2.49933505
## 145 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 146 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 147 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 148 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 149 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 150 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 151 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 152 -2.85654624 -5.40787568 9.2979607 -3.42312107 5.13562173
## 153 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 154 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 155 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 156 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 157 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 158 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 159 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 160 -5.01157000 0.85286260 -1.2214183 0.10261680 1.36451498
## 161 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 162 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 163 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 164 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 165 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 166 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 167 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 168 -15.68535043 12.08145869 0.4947857 -22.21023911 11.28994990
## 169 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 170 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 171 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 172 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 173 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 174 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 175 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 176 5.14039846 -1.63876891 2.8607062 11.39335385 -4.90760741
## 177 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 178 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 179 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 180 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 181 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 182 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 183 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 184 -3.12503077 -13.44601984 -9.4862720 4.18462712 -4.37108620
## 185 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 186 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 187 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 188 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 189 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 190 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 191 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 192 -1.48837072 2.57725393 -1.1800646 -2.72813865 3.93732579
## 193 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 194 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 195 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 196 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 197 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 198 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 199 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 200 7.64498166 0.22633969 0.5328764 4.79607796 -2.47007784
## 201 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 202 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 203 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 204 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 205 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 206 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 207 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 208 1.49091719 -5.87575044 2.5430077 3.11649127 0.04402103
## 209 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 210 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 211 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 212 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 213 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 214 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 215 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 216 -2.28919226 3.38331382 -0.3509164 0.37362854 0.03953667
## 217 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 218 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 219 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 220 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 221 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 222 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 223 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 224 0.30224230 0.36993508 0.7630429 0.14738424 -1.12462040
## 225 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 226 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 227 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 228 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 229 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 230 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 231 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 232 -4.37598199 8.25067182 2.9584784 9.20067175 -4.83433546
## 233 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 234 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 235 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 236 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 237 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 238 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 239 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 240 -0.37661437 2.52348983 3.0083432 2.60663901 -1.59553327
## 241 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 242 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 243 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 244 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 245 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 246 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 247 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 248 6.33743076 16.35986082 9.9348207 -0.55814353 -1.71899453
## 249 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 250 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 251 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 252 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 253 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 254 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 255 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 256 31.44020200 11.59937248 15.4470377 -11.61313433 12.43292978
## 257 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 258 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 259 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 260 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 261 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 262 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 263 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 264 -3.48465325 16.02515166 -10.2206420 24.21493251 -19.64149989
## 265 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 266 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 267 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 268 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 269 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 270 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 271 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 272 9.10757209 -9.30766554 13.6700706 3.13213606 -3.19337659
## 273 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 274 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 275 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 276 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 277 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 278 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 279 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 280 -5.12413552 4.47828596 4.0032769 10.28836100 -6.36969335
## 281 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 282 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 283 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 284 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 285 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 286 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 287 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 288 -5.68444232 2.51961454 2.4762133 -0.62505683 -3.69337469
## 289 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 290 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 291 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 292 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 293 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 294 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 295 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 296 -10.04863930 0.11774768 14.9394056 -19.53973516 1.73541074
## 297 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 298 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 299 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 300 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 301 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 302 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 303 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 304 21.95321425 -17.57051778 -66.4737938 -3.29483349 5.54636943
## 305 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 306 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 307 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 308 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 309 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 310 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 311 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 312 -1.16699107 -5.66645606 -2.4262284 5.93960253 -20.23953300
## 313 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 314 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 315 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 316 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 317 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 318 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 319 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 320 -0.45511889 1.63426992 0.9574966 -8.06015532 1.48973153
## 321 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 322 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 323 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 324 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 325 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 326 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 327 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 328 -2.58385627 -0.31049406 4.0926427 -1.71769497 -5.36274585
## 329 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 330 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 331 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 332 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 333 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 334 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 335 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 336 2.94406651 -24.46819370 49.7838183 -14.79207286 18.68417358
## 337 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 338 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 339 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 340 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 341 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 342 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 343 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 344 -3.63032577 0.54004976 -5.1705443 1.00390883 3.37483992
## 345 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 346 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 347 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 348 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 349 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 350 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 351 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 352 2.81160961 4.23794794 1.1156610 -2.38424853 -1.46299883
## 353 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 354 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 355 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 356 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 357 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 358 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 359 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 360 9.34126802 2.80509664 5.9565320 -10.18873182 -15.76433051
## 361 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 362 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 363 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 364 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 365 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 366 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 367 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 368 -1.41991775 2.07010591 -3.2420202 -1.44789332 2.83814470
## 369 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 370 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 371 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 372 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 373 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 374 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 375 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 376 -8.77672973 -2.90825266 -16.8108481 4.56715414 8.37907491
## 377 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 378 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 379 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 380 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 381 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 382 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 383 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 384 -9.69218995 -13.55901919 4.6942539 -20.00694822 1.01507474
## 385 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 386 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 387 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 388 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 389 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 390 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 391 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 392 -4.94689936 4.90815459 -21.2449712 12.64483312 -18.63832099
## 393 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 394 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 395 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 396 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 397 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 398 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 399 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 400 4.52795112 -0.39530953 6.5881067 1.58885841 -3.47661867
## 401 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 402 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 403 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 404 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 405 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 406 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 407 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 408 0.38287935 -0.24249264 2.0403543 -2.34702159 -1.63093900
## 409 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 410 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 411 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 412 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 413 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 414 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 415 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 416 -8.08562335 -4.61758760 -2.4965079 -1.43719112 7.21054125
## 417 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 418 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 419 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 420 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 421 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 422 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 423 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 424 33.50901232 -12.08487539 19.5838305 49.01271416 -21.82071638
## 425 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 426 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 427 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 428 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 429 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 430 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 431 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 432 -5.48207133 -0.65277401 -2.7363032 -5.66731559 -0.96140545
## 433 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 434 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 435 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 436 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 437 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 438 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 439 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 440 -12.71204478 -4.60119954 1.2758899 -20.60419816 7.27820526
## 441 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 442 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 443 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 444 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 445 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 446 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 447 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 448 0.14448213 -2.08252570 -4.2491566 1.16526970 0.13517667
## 449 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 450 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 451 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 452 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 453 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 454 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 455 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 456 -23.94509042 67.36703283 7.7712507 3.48674449 26.49677098
## 457 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 458 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 459 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 460 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 461 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 462 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 463 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 464 -5.96668584 -15.82983585 0.7330660 9.55716407 0.89429047
## 465 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 466 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 467 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 468 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 469 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 470 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 471 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 472 4.28054309 1.87177132 0.4106910 -8.79749155 -2.24328252
## 473 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 474 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 475 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 476 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 477 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 478 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 479 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 480 1.47100562 0.63398807 0.2547099 1.47305396 2.33456125
## 481 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 482 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 483 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 484 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 485 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 486 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 487 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 488 -1.19707026 1.58428126 3.9745918 3.48150142 -2.54566906
## 489 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 490 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 491 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 492 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 493 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 494 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 495 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 496 0.36628246 1.86078817 -3.5560358 -3.55861331 -1.76808573
## 497 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 498 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 499 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 500 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 501 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 502 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 503 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 504 40.80862895 30.32929418 8.6523921 46.78515985 45.13641848
## 505 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 506 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 507 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 508 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 509 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 510 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 511 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 512 2.50912854 -2.02105029 1.6232565 -2.79411108 4.35960209
## 513 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 514 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 515 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 516 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 517 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 518 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 519 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 520 6.80206447 -5.98815031 -1.7657782 -4.06505748 -1.73062418
## 521 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 522 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 523 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 524 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 525 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 526 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 527 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 528 0.19529306 -10.82671840 3.5663835 -6.51310122 -9.80063428
## 529 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 530 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 531 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 532 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 533 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 534 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 535 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 536 -2.34020374 1.06695203 4.0327238 0.04367979 0.71060429
## 537 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 538 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 539 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 540 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 541 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 542 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 543 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 544 -16.95237780 4.17946606 5.8357475 7.12046232 -3.10105050
## 545 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 546 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 547 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 548 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 549 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 550 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 551 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 552 7.88906211 -4.59543495 -3.0789526 -5.84137944 9.90831618
## 553 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 554 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 555 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 556 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 557 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 558 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 559 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 560 0.69133546 -2.35822700 -0.3217915 -1.50545136 2.78762433
## 561 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 562 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 563 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 564 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 565 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 566 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 567 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 568 15.37733930 -16.23967712 12.1499127 -6.76978572 -3.14438141
## 569 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 570 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 571 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 572 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 573 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 574 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 575 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 576 3.60919500 -5.10186682 -2.7059884 18.35334518 -1.21263054
## 577 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 578 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 579 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 580 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 581 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 582 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 583 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 584 -16.39976368 6.06069747 15.7272000 -6.98193383 -13.56782288
## 585 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 586 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 587 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 588 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 589 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 590 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 591 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 592 -1.12461239 0.91207717 1.0510253 1.82969659 -2.08862762
## 593 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 594 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 595 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 596 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 597 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 598 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 599 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 600 0.70755749 2.26628602 -2.6118570 4.92947490 -0.81390325
## 601 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 602 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 603 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 604 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 605 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 606 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 607 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 608 15.16629765 -11.94679479 8.7419114 -6.86566537 45.62184455
## 609 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 610 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 611 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 612 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 613 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 614 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 615 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 616 6.71683921 7.24334243 -13.0448842 0.43745469 -22.21188151
## 617 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 618 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 619 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 620 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 621 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 622 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 623 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 624 -11.35243199 -3.58628745 -10.0303207 -4.51510720 -1.57919122
## 625 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 626 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 627 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 628 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 629 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 630 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 631 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 632 3.96431354 2.31822396 -1.6635455 -2.82361245 -9.24602617
## 633 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 634 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 635 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 636 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 637 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 638 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 639 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 640 1.48873510 7.71542708 -7.5218620 7.14196749 14.85555515
## 641 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 642 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 643 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 644 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 645 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 646 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 647 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 648 1.21446329 1.65922792 2.2364004 0.43860085 1.48592160
## 649 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 650 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 651 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 652 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 653 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 654 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 655 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 656 5.92104141 -4.78450611 12.0494709 -1.71385369 3.10625646
## 657 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 658 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 659 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 660 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 661 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 662 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 663 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 664 -7.61838224 3.88498497 4.1702273 3.19273671 -5.65194615
## 665 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 666 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 667 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 668 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 669 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 670 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 671 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 672 3.39351873 -2.48221863 -2.8473580 1.26449283 1.07575217
## 673 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 674 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 675 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 676 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 677 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 678 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 679 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 680 -0.81396621 -3.96803590 1.9389067 4.19770645 14.77668393
## 681 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 682 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 683 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 684 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 685 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 686 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 687 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 688 -4.28660457 3.66932305 -3.1763103 3.85134107 -4.66075325
## 689 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 690 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 691 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 692 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 693 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 694 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 695 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 696 8.98760465 -12.97513655 9.7808789 -15.26012946 -1.37604081
## 697 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 698 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 699 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 700 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 701 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 702 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 703 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 704 0.84678956 -1.90898117 1.9430473 2.25147779 -3.57856359
## 705 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 706 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 707 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 708 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 709 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 710 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 711 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 712 -2.00734917 -4.86916307 -7.5647371 -3.01962293 0.26380766
## 713 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 714 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 715 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 716 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 717 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 718 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 719 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 720 -5.55177883 -14.71668784 -55.4704016 43.29065548 16.95197379
## 721 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 722 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 723 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 724 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 725 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 726 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 727 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 728 14.27223608 14.27019168 -10.9529677 -17.81298081 14.72632127
## 729 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 730 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 731 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 732 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 733 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 734 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 735 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 736 -1.58371671 -1.02489920 0.2309142 0.96892508 0.14102342
## 737 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 738 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 739 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 740 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 741 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 742 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 743 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 744 6.68713548 39.54279687 -36.4007790 -47.12136264 19.22731123
## 745 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 746 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 747 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 748 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 749 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 750 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 751 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 752 -67.02585239 -28.39444351 8.8383830 27.43477161 26.03350429
## 753 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 754 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 755 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 756 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 757 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 758 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 759 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 760 -17.51287695 -4.45246316 6.5642431 -7.89886451 -19.16908040
## 761 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 762 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 763 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 764 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 765 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 766 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 767 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 768 24.11729439 -10.70050457 11.0277521 -1.56311412 0.23714203
## 769 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 770 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 771 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 772 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 773 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 774 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 775 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 776 -16.44283376 32.99831345 19.5318904 28.29621157 -37.37057176
## 777 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 778 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 779 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 780 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 781 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 782 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 783 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 784 2.94967850 -3.89643104 1.3917084 -1.87997858 -4.91709685
## 785 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 786 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 787 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 788 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 789 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 790 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 791 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 792 -0.61253885 1.33986223 -0.8448923 1.77360807 -1.81037489
## 793 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 794 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 795 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 796 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 797 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 798 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## 799 -0.40519888 -0.34191616 -0.5663230 4.24334339 -4.00056992
## PC92_score PC93_score PC94_score PC95_score PC96_score
## 1 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 2 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 3 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 4 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 5 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 6 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 7 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 8 -12.96025501 -6.66331601 7.76431816 2.35629670 3.11248548
## 9 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 10 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 11 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 12 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 13 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 14 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 15 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 16 6.84705927 6.07045149 5.53074830 -3.55233822 -5.64262609
## 17 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 18 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 19 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 20 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 21 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 22 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 23 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 24 3.69287313 -0.65308603 3.14035506 3.22790847 -3.67409813
## 25 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 26 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 27 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 28 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 29 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 30 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 31 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 32 -1.85881641 -1.81337890 0.92396489 -4.96401888 5.91729409
## 33 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 34 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 35 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 36 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 37 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 38 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 39 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 40 -3.57699342 12.58958891 7.06251558 -6.68013744 7.01722972
## 41 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 42 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 43 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 44 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 45 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 46 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 47 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 48 16.16497829 -11.04438744 -3.45648636 42.53217078 -74.33986560
## 49 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 50 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 51 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 52 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 53 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 54 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 55 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 56 1.00795191 1.68375578 -2.95110942 0.99554155 0.41259422
## 57 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 58 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 59 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 60 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 61 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 62 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 63 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 64 -5.05534749 -8.99343471 -0.99680382 -3.17121992 4.16874350
## 65 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 66 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 67 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 68 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 69 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 70 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 71 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 72 7.77327483 -0.80182783 -6.85605751 -7.28458021 -1.23650570
## 73 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 74 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 75 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 76 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 77 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 78 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 79 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 80 -5.59276927 5.42415058 -5.38554244 -1.52908142 -0.48896726
## 81 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 82 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 83 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 84 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 85 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 86 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 87 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 88 11.94556606 -3.69433875 15.65176001 -5.87307891 1.92035961
## 89 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 90 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 91 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 92 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 93 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 94 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 95 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 96 1.84467234 -1.06867803 -2.46226704 1.75458476 -0.71068778
## 97 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 98 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 99 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 100 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 101 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 102 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 103 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 104 -1.58410184 -1.48565207 -4.41687220 0.89257922 -7.31033932
## 105 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 106 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 107 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 108 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 109 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 110 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 111 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 112 32.66139233 48.18340043 -35.85848972 38.94281124 31.40623648
## 113 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 114 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 115 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 116 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 117 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 118 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 119 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 120 -2.07212126 -0.25413495 -0.30611390 -2.82334650 -0.63617646
## 121 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 122 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 123 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 124 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 125 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 126 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 127 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 128 -2.43219266 0.50948874 -4.01732448 -4.98744681 -8.49351023
## 129 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 130 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 131 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 132 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 133 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 134 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 135 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 136 -0.70468019 -3.41791219 5.93849885 4.45411306 9.73652097
## 137 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 138 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 139 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 140 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 141 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 142 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 143 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 144 -0.65831976 -0.04816441 -0.21875408 0.70323770 -1.09352837
## 145 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 146 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 147 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 148 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 149 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 150 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 151 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 152 2.89494628 -1.36224947 3.26671603 -10.75222801 0.28947167
## 153 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 154 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 155 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 156 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 157 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 158 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 159 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 160 0.01365525 0.98605291 -4.47431591 -1.29277265 -1.20218517
## 161 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 162 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 163 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 164 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 165 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 166 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 167 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 168 1.66066124 -2.97296663 -2.67796525 -9.51359740 14.58514662
## 169 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 170 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 171 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 172 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 173 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 174 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 175 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 176 -0.94570073 -7.54715964 3.21212762 -0.07625260 3.60638772
## 177 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 178 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 179 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 180 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 181 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 182 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 183 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 184 10.32324363 9.37830881 13.96222402 -6.88005047 -15.68838164
## 185 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 186 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 187 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 188 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 189 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 190 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 191 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 192 0.32740603 3.25933084 0.81634442 3.57965389 1.23984599
## 193 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 194 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 195 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 196 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 197 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 198 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 199 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 200 -0.41656719 2.48575797 0.30931415 -4.04847879 -3.89560038
## 201 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 202 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 203 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 204 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 205 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 206 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 207 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 208 -0.67152813 0.53571217 0.29810256 -0.77857312 -0.47504990
## 209 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 210 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 211 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 212 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 213 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 214 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 215 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 216 -2.89894761 0.02478692 -1.28780700 1.71427109 1.01015325
## 217 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 218 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 219 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 220 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 221 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 222 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 223 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 224 -1.03703093 0.74161646 -0.05435982 0.50360035 -0.82414458
## 225 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 226 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 227 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 228 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 229 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 230 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 231 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 232 14.69786266 -2.67676930 -8.01227946 5.51239317 -8.45329992
## 233 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 234 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 235 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 236 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 237 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 238 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 239 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 240 -4.43025597 -0.80360282 -3.64729360 0.27515813 0.41142143
## 241 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 242 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 243 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 244 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 245 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 246 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 247 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 248 3.40082581 -2.10674534 -7.54795200 5.22206239 8.82142765
## 249 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 250 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 251 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 252 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 253 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 254 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 255 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 256 -4.82332716 -16.66068239 -0.51935119 -5.55272633 -6.91173565
## 257 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 258 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 259 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 260 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 261 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 262 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 263 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 264 14.58243363 1.98241198 -18.15448150 30.59483719 -0.39106882
## 265 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 266 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 267 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 268 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 269 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 270 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 271 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 272 2.85375626 7.50675782 -6.07395676 -4.14883966 -7.02049251
## 273 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 274 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 275 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 276 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 277 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 278 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 279 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 280 9.89896652 1.67744969 -0.88871322 2.84385450 -0.95751551
## 281 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 282 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 283 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 284 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 285 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 286 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 287 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 288 -2.05312187 -1.59469762 5.26526059 6.19120590 0.77272587
## 289 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 290 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 291 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 292 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 293 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 294 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 295 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 296 -15.23429491 -7.34730057 3.56411467 16.20688675 3.67937597
## 297 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 298 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 299 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 300 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 301 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 302 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 303 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 304 -7.38983760 12.96317076 60.02159117 -3.15637124 2.24025293
## 305 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 306 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 307 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 308 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 309 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 310 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 311 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 312 8.69514481 -6.12273357 -11.97709008 1.20860089 -13.99856961
## 313 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 314 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 315 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 316 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 317 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 318 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 319 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 320 -3.74822076 -2.68718069 2.38512469 1.53345514 -4.78781591
## 321 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 322 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 323 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 324 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 325 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 326 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 327 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 328 1.77123468 1.03954080 -2.54755951 -3.21920449 0.59389338
## 329 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 330 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 331 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 332 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 333 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 334 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 335 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 336 -2.77858381 -2.31900036 -4.03627348 0.21653206 -3.35671793
## 337 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 338 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 339 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 340 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 341 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 342 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 343 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 344 -0.87980697 1.08561776 0.10047004 0.08862212 -0.32667249
## 345 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 346 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 347 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 348 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 349 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 350 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 351 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 352 -3.78761474 -1.48027841 4.71833477 -2.90814365 -5.41894876
## 353 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 354 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 355 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 356 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 357 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 358 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 359 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 360 -5.61008717 -2.20803571 -17.90036222 0.35890976 9.19431036
## 361 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 362 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 363 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 364 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 365 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 366 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 367 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 368 0.45822816 4.42072813 2.00608623 -1.04682025 1.65047498
## 369 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 370 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 371 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 372 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 373 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 374 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 375 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 376 -5.29331041 -23.35057931 -3.14746329 -0.51171825 7.86221485
## 377 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 378 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 379 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 380 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 381 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 382 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 383 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 384 -21.09382488 -0.59516965 6.14344295 0.91312082 15.69149712
## 385 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 386 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 387 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 388 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 389 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 390 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 391 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 392 0.47540595 5.27481383 36.01354016 -0.91234533 -28.56274690
## 393 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 394 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 395 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 396 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 397 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 398 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 399 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 400 0.22481156 -3.99103142 -1.76935573 -2.66181471 -1.57042118
## 401 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 402 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 403 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 404 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 405 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 406 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 407 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 408 0.34470365 1.14451134 -1.60020925 -0.48842340 -1.29805891
## 409 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 410 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 411 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 412 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 413 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 414 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 415 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 416 -3.33430956 -1.83968802 -1.36539787 1.68372204 -3.40665611
## 417 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 418 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 419 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 420 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 421 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 422 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 423 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 424 -49.80205617 -16.04269462 15.74868667 -3.45613458 -1.04141519
## 425 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 426 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 427 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 428 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 429 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 430 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 431 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 432 -0.91517985 -1.81296431 5.84888438 0.83148318 1.37115831
## 433 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 434 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 435 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 436 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 437 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 438 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 439 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 440 3.39774619 -4.42341259 9.70354968 -5.56626996 6.71846740
## 441 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 442 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 443 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 444 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 445 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 446 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 447 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 448 -0.95945601 -1.32300302 1.12557120 0.72682711 1.67238599
## 449 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 450 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 451 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 452 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 453 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 454 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 455 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 456 4.63076696 -9.70384921 -9.05465121 6.58898252 -7.29896773
## 457 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 458 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 459 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 460 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 461 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 462 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 463 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 464 1.24715960 -7.19980210 2.71634946 8.72025187 3.11402010
## 465 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 466 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 467 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 468 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 469 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 470 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 471 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 472 -6.52290694 -2.90502013 -2.66439974 -9.08800403 5.21765485
## 473 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 474 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 475 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 476 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 477 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 478 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 479 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 480 3.39244202 -1.92484095 -0.31608051 -3.30696969 -1.94234338
## 481 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 482 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 483 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 484 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 485 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 486 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 487 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 488 -0.63399236 2.06936322 -1.98155807 -1.29493593 0.58292170
## 489 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 490 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 491 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 492 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 493 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 494 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 495 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 496 -0.87821779 0.55069207 0.98321483 -0.36040547 0.23147290
## 497 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 498 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 499 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 500 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 501 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 502 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 503 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 504 -4.90922082 58.86904184 -14.60559457 18.56484176 -0.12275985
## 505 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 506 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 507 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 508 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 509 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 510 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 511 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 512 1.05022649 1.38974047 3.08938032 1.64459947 1.26672781
## 513 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 514 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 515 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 516 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 517 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 518 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 519 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 520 3.81492699 -1.58783611 -2.88818163 -5.09579524 3.31000578
## 521 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 522 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 523 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 524 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 525 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 526 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 527 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 528 3.56957097 -0.09438460 -0.46449864 6.50655403 -4.01667117
## 529 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 530 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 531 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 532 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 533 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 534 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 535 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 536 -5.39970244 3.54493607 -6.33262730 0.26001215 -2.02099233
## 537 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 538 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 539 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 540 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 541 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 542 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 543 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 544 -8.90010461 -9.47877128 1.92556323 -9.52742554 0.79330772
## 545 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 546 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 547 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 548 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 549 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 550 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 551 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 552 9.36890331 15.25479972 0.83115512 6.91752009 -8.52730273
## 553 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 554 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 555 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 556 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 557 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 558 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 559 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 560 0.67852582 4.20678185 1.80907057 0.03806290 0.08606777
## 561 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 562 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 563 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 564 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 565 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 566 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 567 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 568 -13.59019713 -8.86337629 4.04338916 -1.84548098 19.09870142
## 569 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 570 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 571 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 572 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 573 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 574 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 575 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 576 -4.69143484 -4.78328357 -8.51203459 1.98978375 -4.57584263
## 577 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 578 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 579 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 580 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 581 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 582 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 583 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 584 -28.05116490 25.14812409 -1.20013029 11.36612499 -7.58081365
## 585 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 586 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 587 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 588 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 589 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 590 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 591 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 592 -3.74637734 2.17651361 1.83710195 -0.90654475 5.13550253
## 593 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 594 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 595 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 596 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 597 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 598 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 599 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 600 0.41809683 -0.97229233 2.98380698 -0.04122908 1.98979471
## 601 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 602 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 603 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 604 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 605 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 606 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 607 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 608 68.53255516 -30.67488114 15.70873350 -23.66228665 -14.25764742
## 609 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 610 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 611 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 612 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 613 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 614 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 615 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 616 15.24733095 -17.74138673 -7.54858745 6.03269128 -3.87264857
## 617 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 618 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 619 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 620 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 621 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 622 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 623 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 624 10.34895573 -2.57915272 -3.06742848 -2.74767222 1.13546080
## 625 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 626 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 627 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 628 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 629 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 630 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 631 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 632 -2.30433702 1.49778668 -3.49675985 -1.17886587 2.13323222
## 633 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 634 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 635 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 636 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 637 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 638 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 639 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 640 -3.95983631 14.91396626 23.95632526 1.36945199 24.58054128
## 641 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 642 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 643 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 644 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 645 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 646 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 647 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 648 -1.80374474 -1.99041131 1.46316991 2.16206666 1.84598010
## 649 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 650 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 651 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 652 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 653 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 654 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 655 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 656 -15.65411021 -14.05715994 5.55538671 4.13188176 1.37645263
## 657 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 658 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 659 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 660 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 661 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 662 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 663 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 664 -2.09830394 1.85523210 0.33549374 -2.74247523 1.29225166
## 665 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 666 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 667 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 668 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 669 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 670 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 671 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 672 1.76952057 -0.79561962 1.04060477 3.35249860 0.82007177
## 673 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 674 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 675 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 676 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 677 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 678 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 679 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 680 8.24187287 8.23332717 -6.42710361 17.31769353 11.59038435
## 681 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 682 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 683 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 684 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 685 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 686 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 687 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 688 1.23221698 2.41802341 -1.97846330 -1.29930724 -3.30658641
## 689 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 690 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 691 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 692 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 693 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 694 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 695 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 696 -3.35476032 -27.26229909 -18.18878551 3.03773006 21.66453856
## 697 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 698 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 699 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 700 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 701 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 702 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 703 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 704 1.79402302 -7.48627469 1.78641486 0.81663047 -1.64571107
## 705 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 706 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 707 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 708 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 709 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 710 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 711 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 712 5.81130563 -1.62265824 8.27793095 4.87891365 -2.14922061
## 713 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 714 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 715 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 716 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 717 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 718 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 719 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 720 -6.47732270 -43.91707173 -55.81895523 -8.26574928 7.54029578
## 721 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 722 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 723 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 724 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 725 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 726 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 727 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 728 12.68051107 14.00163229 -7.71417153 -5.61105347 0.14760818
## 729 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 730 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 731 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 732 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 733 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 734 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 735 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 736 -0.18216953 2.22405500 0.13611385 -0.78850426 1.84867040
## 737 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 738 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 739 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 740 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 741 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 742 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 743 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 744 -28.55048680 -2.18098322 1.30166531 14.41782370 6.31963667
## 745 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 746 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 747 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 748 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 749 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 750 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 751 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 752 -3.28054320 28.70090654 14.62004782 -7.62769289 -23.26980226
## 753 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 754 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 755 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 756 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 757 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 758 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 759 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 760 -5.74584808 -1.51106108 -8.78815949 11.55030159 0.27683093
## 761 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 762 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 763 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 764 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 765 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 766 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 767 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 768 -1.89025793 -8.84455113 6.00504463 -1.04972192 -11.71349852
## 769 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 770 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 771 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 772 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 773 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 774 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 775 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 776 47.60691140 -5.95156034 34.30754342 1.35768998 54.38676206
## 777 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 778 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 779 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 780 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 781 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 782 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 783 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 784 -7.65639553 -0.51082806 -0.26962449 0.24419209 -1.42650586
## 785 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 786 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 787 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 788 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 789 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 790 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 791 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 792 1.72134911 2.09175399 2.27869509 0.91103901 0.47303320
## 793 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 794 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 795 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 796 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 797 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 798 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## 799 -2.84091529 -3.79335377 3.12713427 -0.50192519 0.96589556
## PC97_score PC98_score PC99_score PC100_score PC101_score
## 1 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 2 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 3 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 4 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 5 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 6 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 7 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 8 -12.23570182 -2.84543283 -6.8789435 1.909229621 3.60645223
## 9 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 10 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 11 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 12 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 13 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 14 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 15 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 16 -9.17809937 0.83373479 -11.0712367 -8.168698639 10.58087798
## 17 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 18 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 19 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 20 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 21 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 22 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 23 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 24 5.29907644 4.62861407 1.1605545 -1.352171619 0.35867672
## 25 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 26 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 27 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 28 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 29 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 30 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 31 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 32 -0.07714451 2.19180882 5.3548773 0.545481662 -0.44757549
## 33 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 34 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 35 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 36 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 37 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 38 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 39 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 40 -0.94793061 0.38566594 0.7284824 0.733252635 -3.95165840
## 41 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 42 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 43 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 44 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 45 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 46 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 47 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 48 -57.19761715 -5.68178211 11.8630121 14.626446197 -1.51028947
## 49 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 50 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 51 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 52 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 53 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 54 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 55 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 56 0.42768505 -1.96270114 -0.7790349 -0.165232819 0.76200825
## 57 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 58 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 59 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 60 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 61 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 62 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 63 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 64 -0.96505342 0.25137380 -1.3359481 5.593274652 6.55293898
## 65 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 66 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 67 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 68 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 69 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 70 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 71 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 72 -7.18864654 0.16562701 2.1696090 -0.191966989 -2.93319392
## 73 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 74 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 75 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 76 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 77 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 78 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 79 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 80 3.14897137 0.69047866 -4.0400414 -0.645974753 -5.78676331
## 81 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 82 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 83 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 84 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 85 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 86 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 87 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 88 7.14250864 -1.42292978 7.2023203 -3.810582893 -3.55643436
## 89 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 90 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 91 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 92 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 93 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 94 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 95 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 96 -0.84289343 0.33625480 -0.0999263 1.007859039 -0.74921682
## 97 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 98 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 99 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 100 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 101 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 102 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 103 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 104 7.20026375 5.67119146 -0.2187082 4.547004306 0.92909062
## 105 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 106 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 107 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 108 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 109 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 110 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 111 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 112 6.03179039 3.76627611 31.2916868 11.926964204 5.03279083
## 113 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 114 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 115 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 116 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 117 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 118 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 119 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 120 4.40372318 2.02934233 0.6782116 0.756327442 3.68141735
## 121 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 122 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 123 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 124 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 125 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 126 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 127 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 128 1.95172358 1.65486276 -0.0875553 0.155417036 1.21706835
## 129 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 130 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 131 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 132 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 133 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 134 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 135 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 136 -7.21043513 6.78782368 -0.2332914 0.009469931 1.45007689
## 137 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 138 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 139 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 140 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 141 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 142 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 143 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 144 -0.77759521 0.79086181 -0.9596502 -0.356080271 -0.52744932
## 145 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 146 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 147 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 148 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 149 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 150 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 151 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 152 2.98167018 4.54799197 4.7286705 -0.039262964 3.33278804
## 153 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 154 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 155 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 156 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 157 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 158 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 159 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 160 -1.23625376 -1.50638691 0.3713901 -2.089081802 -0.03952254
## 161 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 162 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 163 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 164 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 165 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 166 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 167 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 168 -4.55895431 3.76794440 -0.1170080 1.700106767 0.54227012
## 169 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 170 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 171 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 172 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 173 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 174 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 175 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 176 -1.12932788 -11.94554880 1.8169008 -2.994887887 -9.42911604
## 177 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 178 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 179 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 180 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 181 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 182 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 183 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 184 34.55223790 -30.58586620 -33.4590807 13.898219424 -9.74665652
## 185 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 186 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 187 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 188 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 189 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 190 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 191 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 192 2.42566708 2.22522827 1.7023698 0.836408284 -0.69089925
## 193 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 194 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 195 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 196 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 197 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 198 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 199 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 200 -0.26300956 3.41370430 0.9641879 0.777953952 -2.68566165
## 201 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 202 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 203 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 204 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 205 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 206 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 207 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 208 0.32512147 1.65123904 -0.6748282 -1.666293354 1.90040299
## 209 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 210 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 211 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 212 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 213 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 214 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 215 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 216 -2.96480341 -4.08843894 -0.1415165 -2.080735535 0.16721675
## 217 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 218 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 219 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 220 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 221 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 222 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 223 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 224 -0.98076468 0.29968513 1.1120734 -1.366401136 0.81249326
## 225 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 226 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 227 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 228 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 229 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 230 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 231 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 232 -2.12357930 -3.90665381 -9.3081673 -12.573475221 -5.61970651
## 233 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 234 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 235 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 236 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 237 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 238 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 239 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 240 -0.61626123 -1.39724959 -3.5267267 -0.735798957 -3.26356401
## 241 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 242 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 243 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 244 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 245 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 246 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 247 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 248 -1.75911612 3.24657036 4.7261201 7.300993035 3.67679905
## 249 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 250 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 251 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 252 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 253 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 254 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 255 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 256 -5.42998295 2.28240967 9.6393421 1.597557497 -3.94458285
## 257 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 258 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 259 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 260 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 261 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 262 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 263 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 264 40.57922376 -59.10023498 -10.3749444 -33.280625229 12.00024148
## 265 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 266 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 267 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 268 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 269 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 270 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 271 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 272 1.68881062 -0.72907531 -0.7293852 3.035425807 -4.10411881
## 273 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 274 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 275 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 276 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 277 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 278 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 279 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 280 2.24514891 2.16847817 3.1873941 -2.078737339 -0.22107448
## 281 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 282 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 283 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 284 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 285 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 286 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 287 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 288 0.19659767 0.87692462 -4.5129766 -0.660134343 -3.83246938
## 289 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 290 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 291 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 292 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 293 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 294 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 295 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 296 5.24007180 4.85860560 10.9744182 -0.200419119 5.24389421
## 297 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 298 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 299 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 300 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 301 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 302 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 303 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 304 -32.65527587 -3.46838772 2.0428686 -36.837913857 -2.83587860
## 305 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 306 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 307 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 308 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 309 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 310 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 311 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 312 -3.30776868 -10.40428526 -38.6918218 -14.353615744 8.80137947
## 313 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 314 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 315 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 316 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 317 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 318 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 319 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 320 0.75141639 3.40903325 -1.8614990 1.685534238 5.34188566
## 321 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 322 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 323 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 324 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 325 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 326 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 327 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 328 1.24783441 -2.16837469 -0.4506087 4.474845394 -1.32251800
## 329 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 330 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 331 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 332 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 333 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 334 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 335 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 336 -1.74262816 9.83168962 17.2455647 -1.404729252 4.01930642
## 337 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 338 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 339 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 340 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 341 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 342 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 343 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 344 -0.80293525 1.92545740 -3.4919050 0.138669787 -1.45364134
## 345 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 346 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 347 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 348 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 349 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 350 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 351 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 352 0.11985270 1.85895004 -1.9077127 -0.098711676 -1.65385986
## 353 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 354 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 355 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 356 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 357 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 358 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 359 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 360 2.24944918 1.11635103 2.8761210 2.199435668 0.69539276
## 361 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 362 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 363 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 364 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 365 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 366 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 367 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 368 2.96585124 -0.99157933 -0.4622040 2.026959888 -1.51095448
## 369 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 370 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 371 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 372 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 373 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 374 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 375 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 376 -6.42083216 4.04919907 3.9878200 -10.026254786 1.27493889
## 377 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 378 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 379 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 380 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 381 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 382 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 383 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 384 21.56252207 1.38518460 3.6224030 -3.862391970 9.88043580
## 385 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 386 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 387 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 388 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 389 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 390 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 391 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 392 44.67356052 21.96218763 7.9387892 57.904924315 -50.79094482
## 393 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 394 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 395 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 396 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 397 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 398 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 399 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 400 8.58296935 2.65718644 5.0199392 20.143463307 -17.27078869
## 401 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 402 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 403 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 404 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 405 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 406 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 407 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 408 -1.66652840 -4.59884648 -3.2325861 -2.425089630 -0.75549500
## 409 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 410 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 411 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 412 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 413 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 414 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 415 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 416 -2.84722586 10.92890416 1.9146097 -3.274012041 -0.77319730
## 417 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 418 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 419 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 420 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 421 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 422 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 423 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 424 3.01563526 -12.54738573 23.2000044 -3.050946696 25.54883827
## 425 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 426 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 427 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 428 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 429 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 430 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 431 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 432 -4.77564212 5.52575046 -2.0215342 2.162005279 1.77713484
## 433 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 434 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 435 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 436 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 437 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 438 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 439 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 440 5.46699711 -4.44123841 1.7967057 -3.160769206 3.98157643
## 441 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 442 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 443 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 444 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 445 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 446 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 447 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 448 -4.07824279 0.22484018 -0.2616882 1.269752749 -0.11013758
## 449 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 450 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 451 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 452 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 453 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 454 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 455 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 456 13.59170561 -11.20616560 7.0898103 -1.277285187 -5.45079957
## 457 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 458 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 459 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 460 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 461 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 462 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 463 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 464 0.84023076 6.59094795 0.2996968 10.595037163 8.23670988
## 465 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 466 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 467 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 468 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 469 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 470 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 471 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 472 0.96345687 -4.04803374 0.7323854 1.026398999 2.21855205
## 473 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 474 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 475 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 476 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 477 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 478 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 479 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 480 0.71698784 0.04699928 -3.6735655 -0.352409743 -1.29281705
## 481 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 482 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 483 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 484 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 485 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 486 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 487 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 488 -3.79486150 -1.89777855 0.1702795 -2.124963235 -0.40583891
## 489 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 490 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 491 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 492 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 493 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 494 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 495 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 496 0.56087820 -3.86891830 0.6611790 0.869400550 -1.59621909
## 497 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 498 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 499 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 500 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 501 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 502 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 503 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 504 -9.14774113 32.98784781 -6.5551210 -6.323165981 -3.97540662
## 505 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 506 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 507 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 508 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 509 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 510 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 511 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 512 0.99443691 1.56230485 -0.5052610 -0.909313106 -0.62453740
## 513 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 514 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 515 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 516 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 517 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 518 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 519 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 520 1.38402869 -1.35153799 -1.1762591 -2.238913866 5.15059560
## 521 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 522 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 523 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 524 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 525 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 526 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 527 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 528 1.08172690 -0.04237715 10.4489409 1.431566865 3.78507571
## 529 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 530 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 531 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 532 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 533 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 534 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 535 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 536 -2.94744650 -3.17885369 2.4194357 1.318744943 -0.12327856
## 537 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 538 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 539 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 540 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 541 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 542 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 543 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 544 -3.20865681 1.91460071 0.9220589 -5.676855983 1.97646350
## 545 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 546 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 547 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 548 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 549 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 550 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 551 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 552 5.62580089 -11.89289871 -9.4676595 10.344103112 5.20228397
## 553 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 554 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 555 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 556 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 557 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 558 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 559 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 560 -6.63641428 1.19187946 1.7864739 1.130974760 -2.33618969
## 561 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 562 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 563 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 564 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 565 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 566 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 567 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 568 9.18553433 -5.60733841 -6.1033031 -0.943625444 8.07337577
## 569 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 570 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 571 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 572 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 573 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 574 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 575 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 576 -9.50824842 -11.99194402 -25.6439890 -8.347207208 0.58758898
## 577 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 578 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 579 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 580 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 581 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 582 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 583 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 584 -15.92567833 -2.41521071 -4.7363953 -4.045963025 -3.82596873
## 585 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 586 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 587 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 588 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 589 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 590 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 591 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 592 2.63835557 1.75322999 0.1708618 1.935182737 2.64315424
## 593 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 594 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 595 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 596 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 597 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 598 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 599 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 600 0.92482826 -1.96033009 -3.0118479 1.139388722 1.21762143
## 601 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 602 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 603 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 604 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 605 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 606 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 607 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 608 9.36533713 -7.10963658 14.1468144 -11.282780486 19.14954665
## 609 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 610 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 611 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 612 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 613 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 614 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 615 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 616 22.65494858 79.69273511 -45.8602457 -7.061407686 37.84859925
## 617 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 618 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 619 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 620 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 621 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 622 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 623 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 624 0.70667229 -2.80430551 4.6222779 -1.501718284 0.65412346
## 625 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 626 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 627 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 628 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 629 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 630 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 631 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 632 -4.26161911 -0.01323440 0.4109978 -0.856103026 -2.98125149
## 633 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 634 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 635 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 636 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 637 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 638 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 639 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 640 15.50291431 1.12251106 6.5015963 -7.467626256 6.89249472
## 641 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 642 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 643 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 644 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 645 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 646 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 647 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 648 -0.97598551 -1.46744184 1.0671906 2.246490442 1.31522662
## 649 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 650 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 651 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 652 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 653 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 654 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 655 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 656 3.86350192 -0.10860892 4.3388783 5.656151671 -4.28412127
## 657 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 658 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 659 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 660 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 661 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 662 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 663 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 664 -3.21754829 -0.22561511 2.8641658 -3.554421277 -0.97107289
## 665 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 666 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 667 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 668 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 669 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 670 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 671 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 672 2.24549870 -0.56149925 4.8155375 0.643150901 2.07951151
## 673 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 674 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 675 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 676 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 677 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 678 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 679 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 680 -7.00084866 -8.78971778 -2.5497247 -0.145963315 -22.98432132
## 681 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 682 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 683 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 684 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 685 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 686 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 687 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 688 1.17690276 2.61275212 1.0716140 -0.396087606 -0.26580188
## 689 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 690 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 691 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 692 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 693 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 694 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 695 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 696 -12.75607281 14.56059463 -30.0861762 -39.536674935 -78.39143279
## 697 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 698 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 699 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 700 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 701 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 702 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 703 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 704 -1.28294840 -0.97371673 0.8659623 -2.924561143 -0.84649823
## 705 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 706 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 707 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 708 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 709 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 710 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 711 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 712 -3.85982589 4.94406568 -6.3076861 4.584896609 4.52816492
## 713 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 714 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 715 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 716 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 717 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 718 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 719 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 720 -3.08022809 7.41270122 34.2453004 17.375730525 -1.13234396
## 721 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 722 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 723 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 724 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 725 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 726 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 727 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 728 10.20196169 -6.82647643 -7.7234896 -3.832930300 1.58302959
## 729 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 730 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 731 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 732 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 733 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 734 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 735 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 736 0.28823787 0.41668850 1.4798333 -0.669229848 1.60511295
## 737 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 738 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 739 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 740 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 741 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 742 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 743 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 744 2.84987791 -7.82770649 18.5333173 6.088290482 7.55084331
## 745 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 746 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 747 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 748 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 749 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 750 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 751 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 752 4.26319965 14.08506458 17.5350347 -33.881285115 -1.72191013
## 753 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 754 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 755 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 756 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 757 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 758 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 759 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 760 3.54354176 0.17022179 9.3027192 -2.355397440 3.88989692
## 761 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 762 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 763 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 764 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 765 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 766 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 767 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 768 6.98916226 -10.02603143 9.1265036 4.499059325 1.15361053
## 769 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 770 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 771 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 772 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 773 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 774 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 775 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 776 -39.39253772 1.48963750 15.3807252 17.976891919 0.33562428
## 777 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 778 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 779 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 780 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 781 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 782 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 783 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 784 -3.23377144 1.03487195 -2.1782662 -8.566504929 -0.37937028
## 785 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 786 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 787 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 788 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 789 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 790 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 791 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 792 0.76897503 -0.64566218 -1.6575331 -0.329038362 -0.84846840
## 793 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 794 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 795 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 796 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 797 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 798 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## 799 2.77907703 3.47015517 1.2581533 -1.110977656 -1.81043823
## PC102_score PC103_score PC104_score PC105_score PC106_score
## 1 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 2 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 3 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 4 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 5 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 6 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 7 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 8 2.13462801 -4.01185324 -4.85360178 3.91883016 -7.66420190
## 9 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 10 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 11 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 12 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 13 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 14 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 15 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 16 -21.53340999 -16.66364396 8.48537204 -26.04419988 55.91762731
## 17 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 18 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 19 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 20 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 21 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 22 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 23 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 24 0.68474360 0.94605997 -1.19360068 -0.45066945 -1.76753096
## 25 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 26 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 27 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 28 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 29 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 30 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 31 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 32 -0.31468276 4.64768892 1.58808904 3.14053612 -0.09483958
## 33 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 34 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 35 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 36 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 37 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 38 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 39 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 40 12.02034369 -2.44019328 4.61963826 9.60281488 -2.42199658
## 41 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 42 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 43 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 44 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 45 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 46 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 47 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 48 -9.21570520 3.10867411 -20.72630987 15.06506509 -3.51285063
## 49 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 50 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 51 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 52 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 53 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 54 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 55 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 56 0.10802454 1.33118317 -0.63516483 -1.27435497 -1.22165025
## 57 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 58 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 59 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 60 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 61 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 62 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 63 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 64 -4.60398106 3.07550541 0.72036284 3.55948805 -3.00533580
## 65 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 66 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 67 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 68 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 69 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 70 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 71 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 72 -2.13922281 5.38389747 3.37352630 0.86449099 -5.41243687
## 73 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 74 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 75 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 76 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 77 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 78 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 79 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 80 -0.46520470 -2.40745225 -1.91032651 -2.97560010 -4.01304687
## 81 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 82 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 83 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 84 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 85 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 86 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 87 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 88 -6.72976788 -3.12681012 5.28976387 -0.80335246 -3.26137608
## 89 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 90 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 91 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 92 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 93 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 94 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 95 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 96 2.63219903 0.13592362 0.62539009 -1.43451980 0.22620864
## 97 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 98 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 99 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 100 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 101 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 102 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 103 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 104 -6.73509440 -1.40232980 0.64809708 -0.10319786 -3.35237344
## 105 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 106 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 107 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 108 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 109 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 110 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 111 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 112 -12.47518863 -9.14581063 2.79021396 3.58366836 -0.66999561
## 113 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 114 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 115 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 116 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 117 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 118 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 119 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 120 1.13591417 2.13517746 -1.66606377 -0.25057126 -1.62407477
## 121 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 122 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 123 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 124 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 125 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 126 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 127 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 128 -1.10630641 3.47448139 1.95656473 0.22648277 -1.28734789
## 129 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 130 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 131 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 132 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 133 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 134 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 135 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 136 2.63963446 1.71786950 -2.79949734 -3.20398677 4.50497938
## 137 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 138 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 139 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 140 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 141 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 142 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 143 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 144 0.63424836 -0.67058965 -1.36706775 -0.24098673 -0.01325423
## 145 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 146 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 147 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 148 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 149 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 150 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 151 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 152 1.16861253 -2.09775396 4.43118600 0.94055607 -1.67180977
## 153 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 154 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 155 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 156 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 157 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 158 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 159 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 160 -1.16051208 -0.09660411 0.02402179 -0.14219723 0.22210903
## 161 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 162 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 163 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 164 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 165 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 166 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 167 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 168 6.38552920 -1.13082838 -6.79140413 -3.79042819 -5.46178334
## 169 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 170 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 171 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 172 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 173 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 174 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 175 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 176 -7.70968728 4.99440710 -1.34370281 8.71413172 22.45595805
## 177 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 178 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 179 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 180 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 181 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 182 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 183 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 184 18.41470646 -61.35244554 -46.50884200 23.45459557 -36.05617368
## 185 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 186 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 187 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 188 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 189 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 190 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 191 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 192 0.10020835 -0.86962897 -0.44106935 1.75700000 2.67681668
## 193 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 194 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 195 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 196 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 197 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 198 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 199 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 200 -2.70125017 -1.64429307 -0.66508294 4.05256604 1.36634310
## 201 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 202 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 203 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 204 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 205 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 206 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 207 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 208 -0.73147314 4.10822787 -2.19154190 0.49491038 -5.18596488
## 209 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 210 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 211 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 212 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 213 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 214 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 215 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 216 2.12112588 0.62885738 -0.70634747 2.61752117 1.23058968
## 217 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 218 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 219 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 220 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 221 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 222 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 223 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 224 -0.27542654 0.50579400 0.79481736 0.79045311 2.00365769
## 225 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 226 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 227 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 228 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 229 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 230 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 231 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 232 14.83569660 -11.46044693 16.96928348 11.29881038 -15.05361272
## 233 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 234 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 235 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 236 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 237 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 238 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 239 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 240 -0.60867868 1.02288719 -0.88052669 -0.32612690 -0.48400108
## 241 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 242 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 243 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 244 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 245 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 246 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 247 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 248 6.03527561 3.07366616 4.09811234 -1.31474509 -8.67276416
## 249 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 250 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 251 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 252 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 253 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 254 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 255 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 256 -4.45246846 -1.88381600 -8.01682005 -2.90100453 0.81397924
## 257 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 258 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 259 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 260 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 261 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 262 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 263 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 264 -28.55871173 38.04520020 -10.63299481 11.78243646 17.04796700
## 265 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 266 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 267 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 268 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 269 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 270 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 271 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 272 -1.17238286 4.73549503 3.24224948 5.02347870 1.81134259
## 273 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 274 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 275 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 276 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 277 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 278 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 279 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 280 -3.53724487 1.12419050 1.59261039 -3.17719667 -0.04196570
## 281 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 282 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 283 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 284 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 285 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 286 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 287 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 288 -1.72985765 -3.82442974 2.49546508 1.67913424 -0.54576201
## 289 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 290 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 291 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 292 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 293 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 294 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 295 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 296 7.34724776 7.64184265 4.49540488 3.00325114 6.27646323
## 297 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 298 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 299 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 300 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 301 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 302 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 303 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 304 1.10724187 14.25950271 -2.80461491 6.18156137 -1.37151481
## 305 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 306 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 307 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 308 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 309 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 310 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 311 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 312 27.77556310 -23.93592819 75.04919177 -7.50003887 -13.98075029
## 313 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 314 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 315 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 316 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 317 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 318 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 319 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 320 -4.04776434 1.73913510 0.46347183 1.02128936 -2.34101547
## 321 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 322 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 323 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 324 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 325 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 326 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 327 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 328 -3.72029969 -6.74103587 -2.20617485 1.60418594 -1.61769956
## 329 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 330 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 331 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 332 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 333 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 334 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 335 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 336 7.17213432 -0.05268974 4.14208747 -4.29190217 -4.58522781
## 337 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 338 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 339 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 340 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 341 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 342 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 343 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 344 1.18158210 2.09347207 0.03233182 1.42958663 -4.35316166
## 345 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 346 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 347 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 348 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 349 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 350 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 351 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 352 1.71261851 0.18302626 -2.66365394 3.93333306 -0.20305251
## 353 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 354 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 355 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 356 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 357 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 358 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 359 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 360 3.50756906 1.42832266 7.07339503 -8.34692312 -2.31709321
## 361 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 362 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 363 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 364 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 365 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 366 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 367 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 368 0.23538511 2.34452248 1.49612337 0.52615937 0.84286295
## 369 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 370 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 371 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 372 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 373 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 374 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 375 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 376 -0.17693769 -11.89122342 0.80770925 -3.07190247 1.14169704
## 377 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 378 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 379 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 380 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 381 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 382 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 383 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 384 6.23759476 -1.47700238 -1.77253976 -1.66226749 2.36935085
## 385 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 386 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 387 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 388 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 389 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 390 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 391 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 392 -16.32765543 20.48422470 32.45982294 -14.43629552 4.57828079
## 393 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 394 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 395 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 396 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 397 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 398 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 399 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 400 20.40705071 5.04542525 -14.05746643 15.38458556 21.99885004
## 401 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 402 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 403 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 404 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 405 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 406 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 407 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 408 -0.54908021 2.87487027 1.48440735 4.24329086 1.11978272
## 409 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 410 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 411 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 412 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 413 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 414 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 415 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 416 -5.97010052 -2.92858220 1.35286495 0.84277204 3.37185954
## 417 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 418 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 419 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 420 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 421 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 422 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 423 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 424 1.96747189 4.18846055 -8.47842455 3.31434943 -16.15844196
## 425 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 426 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 427 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 428 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 429 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 430 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 431 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 432 -1.37522294 -4.87287019 0.13990464 -1.71416679 -3.38868666
## 433 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 434 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 435 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 436 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 437 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 438 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 439 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 440 -4.99170437 11.80583792 0.27453011 -2.10116470 -0.62702751
## 441 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 442 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 443 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 444 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 445 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 446 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 447 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 448 -0.47452418 -0.84108870 3.27186396 0.89179077 -1.37261902
## 449 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 450 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 451 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 452 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 453 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 454 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 455 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 456 -6.87515559 0.33485665 -5.39735448 -2.10523755 -4.10582573
## 457 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 458 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 459 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 460 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 461 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 462 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 463 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 464 -5.28418435 -13.10214105 0.01186876 -1.49677957 2.07842103
## 465 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 466 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 467 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 468 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 469 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 470 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 471 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 472 -0.84157134 4.09822789 -2.26688157 1.37317614 -0.41857272
## 473 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 474 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 475 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 476 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 477 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 478 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 479 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 480 -0.29108495 -1.11571296 -1.10996237 -0.52570079 -2.57720050
## 481 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 482 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 483 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 484 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 485 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 486 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 487 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 488 -2.37316246 0.67937638 0.80776447 1.63303369 2.68555835
## 489 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 490 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 491 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 492 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 493 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 494 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 495 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 496 -3.12860413 -2.74272878 1.43529929 -1.67060013 1.20878025
## 497 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 498 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 499 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 500 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 501 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 502 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 503 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 504 -5.74663540 -17.00998524 3.92646235 1.85237972 -2.26798366
## 505 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 506 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 507 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 508 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 509 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 510 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 511 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 512 -0.73469577 -1.24225654 0.09051582 0.84126907 -0.42513055
## 513 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 514 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 515 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 516 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 517 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 518 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 519 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 520 1.14793894 -0.12975318 2.02395562 1.02198957 -2.72956410
## 521 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 522 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 523 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 524 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 525 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 526 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 527 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 528 0.86216232 -1.52253836 -2.45795280 3.95648820 1.36122118
## 529 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 530 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 531 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 532 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 533 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 534 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 535 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 536 -1.02438473 -3.19786310 2.55947033 2.17718582 -1.91493171
## 537 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 538 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 539 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 540 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 541 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 542 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 543 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 544 -3.19650732 7.97306000 -3.83629301 2.78169625 3.57940784
## 545 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 546 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 547 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 548 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 549 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 550 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 551 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 552 25.14922447 18.46891311 -45.63873424 -85.02538629 -7.48783179
## 553 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 554 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 555 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 556 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 557 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 558 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 559 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 560 -2.98951756 0.28684977 3.12958767 -4.93808401 1.08687646
## 561 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 562 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 563 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 564 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 565 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 566 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 567 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 568 -0.27108069 -2.82797645 -3.61363559 -6.77770833 2.38944001
## 569 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 570 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 571 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 572 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 573 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 574 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 575 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 576 22.99407641 -3.70064650 13.87465671 -45.04911346 15.95938868
## 577 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 578 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 579 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 580 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 581 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 582 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 583 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 584 -6.56847610 5.87758526 5.57915397 1.64465847 -7.96220275
## 585 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 586 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 587 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 588 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 589 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 590 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 591 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 592 1.14037779 0.90305623 1.01864364 -1.04083147 1.37315773
## 593 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 594 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 595 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 596 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 597 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 598 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 599 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 600 -2.49476117 -0.17606011 -0.77268272 -2.89392191 0.99275803
## 601 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 602 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 603 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 604 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 605 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 606 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 607 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 608 -7.58291096 9.04812582 14.91959688 3.80552604 -2.55352233
## 609 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 610 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 611 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 612 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 613 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 614 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 615 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 616 8.72979043 24.12315054 -27.36597600 20.83108386 3.47868651
## 617 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 618 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 619 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 620 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 621 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 622 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 623 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 624 4.38328841 -7.20017107 2.15335999 -1.85727007 2.87472821
## 625 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 626 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 627 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 628 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 629 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 630 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 631 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 632 -4.32136318 -6.08233892 7.93139865 4.28486009 7.39712327
## 633 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 634 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 635 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 636 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 637 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 638 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 639 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 640 -11.56836709 2.75739985 3.42006807 11.21671600 0.84880532
## 641 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 642 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 643 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 644 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 645 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 646 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 647 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 648 -2.25998858 0.83124516 -2.65860719 -0.48116323 1.46616585
## 649 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 650 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 651 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 652 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 653 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 654 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 655 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 656 -0.01111234 -2.85157531 -3.52709659 -4.34886687 2.76951052
## 657 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 658 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 659 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 660 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 661 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 662 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 663 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 664 -1.63150217 1.92078588 1.24511977 4.52516342 -2.17073020
## 665 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 666 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 667 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 668 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 669 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 670 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 671 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 672 -0.09752376 0.53530031 -2.10937988 -0.08755018 -0.54724080
## 673 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 674 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 675 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 676 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 677 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 678 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 679 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 680 56.82774098 61.76762811 10.01932672 16.06602433 -32.53446353
## 681 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 682 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 683 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 684 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 685 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 686 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 687 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 688 -3.92262517 -0.29542309 3.57195220 -0.24758932 -3.44093261
## 689 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 690 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 691 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 692 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 693 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 694 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 695 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 696 -39.53211910 -0.95410771 -15.64289252 -8.75328556 -16.62933402
## 697 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 698 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 699 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 700 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 701 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 702 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 703 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 704 -0.89677411 -5.75627809 0.92354404 -0.10065503 -0.46444636
## 705 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 706 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 707 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 708 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 709 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 710 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 711 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 712 12.67445747 -5.48591798 -2.49599499 -10.88493144 26.92160781
## 713 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 714 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 715 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 716 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 717 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 718 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 719 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 720 -2.39826226 -11.08759875 -2.81127045 -8.98442691 -9.97148385
## 721 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 722 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 723 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 724 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 725 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 726 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 727 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 728 -13.95873187 -10.54943684 2.72182979 -0.78216732 -4.66285404
## 729 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 730 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 731 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 732 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 733 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 734 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 735 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 736 2.59406803 -0.27452080 -2.13013151 2.22245543 -0.66248763
## 737 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 738 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 739 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 740 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 741 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 742 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 743 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 744 11.27258511 -15.06220551 10.56020140 1.25171505 -8.36755877
## 745 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 746 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 747 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 748 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 749 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 750 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 751 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 752 -4.75479986 -6.34991124 -6.44882379 -2.93653013 -0.05586448
## 753 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 754 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 755 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 756 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 757 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 758 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 759 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 760 -2.55675541 1.72460699 -0.18432946 0.65222496 6.16307718
## 761 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 762 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 763 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 764 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 765 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 766 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 767 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 768 -6.20212693 0.69202862 2.59726696 5.93407237 -0.09188970
## 769 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 770 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 771 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 772 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 773 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 774 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 775 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 776 2.32367472 -14.36689895 -10.18959740 -8.52804959 -13.04712203
## 777 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 778 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 779 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 780 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 781 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 782 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 783 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 784 -3.76877844 1.52195684 7.15260222 -4.69672319 -1.83175159
## 785 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 786 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 787 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 788 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 789 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 790 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 791 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 792 0.65405746 -0.77346724 -0.67867407 -1.03808588 -1.57319391
## 793 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 794 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 795 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 796 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 797 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 798 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## 799 2.38913689 2.12959553 1.42344025 -2.80333765 0.06291525
## PC107_score PC108_score PC109_score PC110_score PC111_score
## 1 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 2 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 3 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 4 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 5 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 6 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 7 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 8 8.163190997 2.131308826 3.40436312 1.88416273 3.04032503
## 9 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 10 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 11 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 12 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 13 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 14 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 15 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 16 -78.817865473 34.626338035 -9.96966211 -15.44237999 5.53848786
## 17 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 18 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 19 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 20 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 21 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 22 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 23 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 24 -0.093567495 -1.547839883 0.81616003 1.38485171 -0.68128599
## 25 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 26 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 27 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 28 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 29 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 30 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 31 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 32 3.659587124 -3.545955044 2.26479559 1.14058560 -0.34237872
## 33 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 34 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 35 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 36 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 37 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 38 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 39 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 40 2.071444566 -4.411746480 -2.46181427 2.24783899 -0.67849744
## 41 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 42 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 43 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 44 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 45 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 46 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 47 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 48 2.200675715 -9.376640750 -2.32478321 -7.47973534 -0.07470161
## 49 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 50 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 51 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 52 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 53 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 54 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 55 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 56 -1.704258608 -0.227186521 -0.14064506 -2.48304843 1.11438907
## 57 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 58 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 59 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 60 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 61 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 62 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 63 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 64 -1.199501331 -1.637997026 0.58844317 -1.01014653 3.15991575
## 65 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 66 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 67 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 68 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 69 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 70 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 71 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 72 3.879710528 -2.377111945 -1.55362521 3.45106635 3.42011187
## 73 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 74 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 75 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 76 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 77 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 78 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 79 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 80 3.123052214 -1.616574265 3.54278880 1.28001782 -0.90243865
## 81 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 82 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 83 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 84 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 85 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 86 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 87 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 88 -1.402889895 -1.383006662 -1.23593133 -4.05811638 -1.70033318
## 89 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 90 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 91 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 92 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 93 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 94 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 95 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 96 0.978642362 0.502346217 -0.97131547 -0.75855319 0.74292435
## 97 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 98 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 99 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 100 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 101 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 102 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 103 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 104 -1.999384380 2.193888753 1.71981183 -1.09855164 5.23909454
## 105 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 106 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 107 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 108 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 109 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 110 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 111 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 112 -0.650459249 -7.488049936 -11.40013136 -0.05781842 -3.39688090
## 113 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 114 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 115 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 116 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 117 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 118 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 119 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 120 5.067100702 -0.841883023 1.56606099 -0.67945740 0.39892278
## 121 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 122 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 123 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 124 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 125 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 126 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 127 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 128 6.763513544 -1.068503531 1.01154150 -1.23178119 3.59099313
## 129 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 130 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 131 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 132 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 133 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 134 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 135 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 136 -4.296570392 -2.192241645 0.91055926 -5.38946644 0.08381220
## 137 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 138 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 139 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 140 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 141 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 142 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 143 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 144 -0.976709721 -0.469129583 1.72278448 0.81803463 -0.23657304
## 145 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 146 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 147 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 148 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 149 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 150 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 151 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 152 -0.869181856 2.987754289 -5.73721401 -0.10130472 -0.19510082
## 153 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 154 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 155 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 156 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 157 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 158 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 159 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 160 -0.150568367 -0.611842170 2.01424022 1.40021154 0.26808114
## 161 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 162 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 163 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 164 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 165 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 166 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 167 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 168 2.443539100 0.238126654 -0.77505784 4.59992675 -2.82091000
## 169 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 170 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 171 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 172 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 173 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 174 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 175 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 176 -1.044211578 -10.825467617 19.27910228 -9.51650302 -32.82983974
## 177 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 178 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 179 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 180 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 181 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 182 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 183 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 184 -28.868709528 -10.201096811 -5.09112784 -8.91634147 -0.61796018
## 185 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 186 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 187 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 188 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 189 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 190 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 191 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 192 -0.753698512 0.707908870 1.00487278 -0.08933689 0.28329110
## 193 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 194 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 195 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 196 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 197 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 198 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 199 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 200 7.000967997 -4.938581964 -2.66907384 1.84898134 5.66941224
## 201 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 202 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 203 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 204 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 205 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 206 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 207 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 208 1.012557297 -0.279265812 0.62335420 0.92294358 -1.33871842
## 209 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 210 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 211 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 212 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 213 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 214 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 215 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 216 0.217578785 -0.295918449 -0.81129814 1.53513974 0.86086854
## 217 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 218 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 219 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 220 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 221 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 222 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 223 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 224 1.194642337 -0.367407473 0.22051917 -0.50111677 0.23681208
## 225 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 226 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 227 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 228 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 229 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 230 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 231 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 232 7.349524618 65.335914258 -35.60808625 73.75719646 5.61201134
## 233 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 234 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 235 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 236 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 237 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 238 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 239 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 240 1.130878461 -0.613253357 0.35596999 1.98641664 1.24676687
## 241 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 242 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 243 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 244 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 245 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 246 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 247 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 248 1.531560664 0.642100151 -1.73410648 -2.57947399 -1.71404180
## 249 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 250 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 251 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 252 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 253 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 254 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 255 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 256 -4.825689858 -6.353595226 0.11476613 0.35055320 1.17929119
## 257 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 258 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 259 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 260 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 261 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 262 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 263 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 264 17.099609645 1.686919690 5.77525874 0.55068851 3.12071556
## 265 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 266 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 267 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 268 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 269 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 270 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 271 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 272 0.726547111 -4.610237248 3.27453682 -1.37009266 -1.83698842
## 273 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 274 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 275 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 276 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 277 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 278 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 279 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 280 -1.618290862 -1.049031697 2.46367145 -4.39744443 0.90621476
## 281 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 282 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 283 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 284 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 285 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 286 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 287 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 288 1.004810401 0.987788298 -1.52522888 0.36766583 -1.62477351
## 289 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 290 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 291 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 292 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 293 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 294 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 295 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 296 4.737802293 0.410474591 -10.23305792 -0.38122345 3.22626489
## 297 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 298 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 299 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 300 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 301 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 302 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 303 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 304 8.455787674 11.226409708 -3.15665790 -4.63746122 -4.66328569
## 305 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 306 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 307 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 308 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 309 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 310 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 311 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 312 19.738136941 10.583707731 38.29500960 -37.45260046 0.20951377
## 313 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 314 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 315 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 316 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 317 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 318 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 319 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 320 -3.312863934 2.429611945 0.88261996 0.40461229 1.58000747
## 321 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 322 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 323 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 324 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 325 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 326 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 327 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 328 4.139573722 -2.535047972 -3.03209115 -0.26484422 -4.09563770
## 329 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 330 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 331 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 332 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 333 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 334 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 335 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 336 3.116931745 5.741161443 -0.43480737 -7.35860284 4.38235220
## 337 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 338 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 339 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 340 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 341 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 342 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 343 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 344 3.209011633 -1.760290112 -2.58300360 -0.36312234 0.04680508
## 345 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 346 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 347 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 348 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 349 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 350 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 351 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 352 1.167747387 -0.925003156 1.22026710 -1.68326025 0.24396683
## 353 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 354 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 355 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 356 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 357 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 358 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 359 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 360 0.059289232 -4.998984978 1.57191356 2.67472829 3.36011529
## 361 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 362 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 363 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 364 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 365 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 366 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 367 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 368 -1.586473121 -1.722735262 -2.61961716 0.91322701 -0.49690851
## 369 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 370 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 371 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 372 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 373 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 374 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 375 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 376 0.008914006 1.879517164 -5.73276303 -1.60577712 -2.60332306
## 377 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 378 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 379 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 380 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 381 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 382 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 383 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 384 2.502549885 0.692800286 -3.90100321 0.35910488 -0.90172057
## 385 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 386 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 387 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 388 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 389 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 390 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 391 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 392 5.073355437 -0.700044815 -11.94163611 -1.12946464 13.49978258
## 393 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 394 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 395 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 396 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 397 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 398 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 399 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 400 14.783229245 30.888786166 15.73078792 2.51073777 -88.15360852
## 401 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 402 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 403 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 404 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 405 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 406 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 407 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 408 -1.810913537 -1.136957422 -1.72283121 1.34250755 4.24226316
## 409 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 410 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 411 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 412 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 413 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 414 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 415 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 416 0.380617758 0.537895703 -1.10616365 0.47352955 2.07010444
## 417 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 418 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 419 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 420 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 421 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 422 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 423 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 424 -6.637265223 0.096624430 -0.89821763 1.06220379 9.64512416
## 425 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 426 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 427 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 428 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 429 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 430 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 431 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 432 0.282703916 2.891430594 -2.03480542 4.37599883 -1.18810463
## 433 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 434 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 435 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 436 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 437 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 438 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 439 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 440 0.221985105 1.324569485 0.02788042 -0.21740514 -0.48440366
## 441 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 442 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 443 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 444 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 445 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 446 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 447 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 448 0.097525189 -0.660452157 1.10012280 0.05570682 1.17660963
## 449 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 450 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 451 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 452 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 453 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 454 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 455 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 456 -7.084141945 -7.791273386 0.97531885 -6.00008213 1.23556954
## 457 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 458 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 459 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 460 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 461 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 462 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 463 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 464 4.553183782 4.063308327 1.03050396 -1.68952076 1.62600981
## 465 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 466 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 467 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 468 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 469 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 470 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 471 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 472 2.388005315 1.319149664 -0.06226743 -1.56412003 3.69451522
## 473 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 474 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 475 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 476 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 477 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 478 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 479 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 480 -1.875326673 1.105547309 1.11639793 -1.17493713 1.54656361
## 481 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 482 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 483 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 484 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 485 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 486 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 487 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 488 0.056544963 -0.189983791 -0.50645653 0.42027995 -0.67083884
## 489 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 490 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 491 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 492 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 493 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 494 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 495 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 496 -0.529419013 -1.035098868 -0.73812697 0.35775672 -1.52191603
## 497 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 498 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 499 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 500 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 501 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 502 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 503 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 504 3.558213453 -2.218578120 8.83480816 -0.92344279 -2.35253370
## 505 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 506 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 507 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 508 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 509 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 510 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 511 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 512 -0.898038911 1.338216835 3.79605468 0.48592074 0.48934737
## 513 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 514 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 515 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 516 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 517 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 518 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 519 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 520 1.624648484 0.793876170 2.90515397 -0.29704665 2.89952391
## 521 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 522 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 523 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 524 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 525 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 526 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 527 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 528 -0.133555277 -4.511061885 -3.47148084 2.47025701 5.25154032
## 529 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 530 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 531 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 532 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 533 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 534 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 535 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 536 -3.240012074 -2.210585855 -3.93421284 -0.69310446 -1.46354742
## 537 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 538 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 539 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 540 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 541 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 542 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 543 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 544 -1.342728004 -6.623426884 -1.55994692 -0.04088029 4.58684672
## 545 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 546 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 547 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 548 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 549 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 550 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 551 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 552 24.474156910 32.846795013 15.34758810 -11.88278710 13.67245973
## 553 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 554 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 555 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 556 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 557 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 558 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 559 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 560 1.570506617 -1.709298119 -0.39409253 -0.68541091 -3.91427535
## 561 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 562 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 563 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 564 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 565 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 566 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 567 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 568 -3.692313240 2.400644351 3.14785301 1.84384414 -2.28263530
## 569 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 570 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 571 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 572 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 573 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 574 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 575 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 576 5.187719146 -62.534503805 -62.61421602 19.60807138 -29.02820744
## 577 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 578 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 579 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 580 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 581 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 582 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 583 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 584 3.774567388 4.513614666 0.57571813 1.62441123 3.53317720
## 585 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 586 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 587 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 588 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 589 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 590 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 591 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 592 0.051100455 0.706295436 -0.08370485 1.03356123 -0.21412841
## 593 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 594 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 595 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 596 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 597 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 598 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 599 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 600 -0.722240686 -0.151487750 0.82448126 0.48472536 -1.34724758
## 601 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 602 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 603 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 604 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 605 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 606 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 607 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 608 4.269333202 -7.731661211 -6.90188212 -0.95625579 -2.43418671
## 609 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 610 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 611 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 612 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 613 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 614 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 615 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 616 3.752371296 -3.843182101 -7.72151466 -9.04527123 2.02467182
## 617 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 618 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 619 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 620 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 621 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 622 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 623 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 624 -4.136304374 -3.965917221 -0.62974375 -4.15823381 2.79616930
## 625 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 626 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 627 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 628 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 629 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 630 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 631 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 632 -1.850741239 1.939017954 -5.90398329 -3.92940655 -3.56393397
## 633 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 634 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 635 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 636 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 637 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 638 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 639 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 640 -1.408967160 -0.006847018 -5.86393625 -1.09109136 -0.29174783
## 641 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 642 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 643 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 644 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 645 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 646 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 647 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 648 -0.617909419 1.754945626 -0.54911859 -2.22253753 0.83129970
## 649 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 650 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 651 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 652 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 653 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 654 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 655 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 656 -1.788698097 5.761690366 -0.74905717 2.12451685 4.76236355
## 657 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 658 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 659 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 660 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 661 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 662 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 663 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 664 2.993913455 -0.612729800 -0.02365526 0.21231853 2.84105278
## 665 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 666 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 667 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 668 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 669 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 670 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 671 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 672 -0.340273710 0.728088008 -2.09543358 0.70005741 0.21959491
## 673 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 674 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 675 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 676 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 677 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 678 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 679 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 680 -58.963830445 -3.906637543 1.86609063 -7.55760107 2.97007337
## 681 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 682 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 683 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 684 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 685 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 686 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 687 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 688 -1.589049813 -1.954499961 -0.71258298 0.92716320 -0.51245915
## 689 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 690 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 691 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 692 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 693 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 694 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 695 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 696 1.812347452 -2.121696388 8.01078048 -0.63905169 3.21354666
## 697 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 698 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 699 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 700 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 701 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 702 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 703 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 704 -2.107430351 0.656356624 -3.57654156 -1.70795667 0.45989170
## 705 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 706 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 707 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 708 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 709 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 710 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 711 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 712 -19.072590040 -31.220495766 69.92306564 65.96946123 2.19631902
## 713 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 714 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 715 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 716 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 717 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 718 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 719 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 720 -9.289052082 10.414809091 7.73884826 -3.92437293 4.42910113
## 721 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 722 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 723 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 724 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 725 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 726 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 727 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 728 3.516130000 -1.459738857 -2.53772535 -3.95874696 -2.84341421
## 729 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 730 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 731 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 732 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 733 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 734 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 735 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 736 -0.033369752 2.470182595 1.47502930 -1.80554758 -0.82852178
## 737 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 738 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 739 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 740 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 741 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 742 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 743 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 744 2.208740324 -7.449731862 -0.02599281 -5.28823668 -8.85156749
## 745 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 746 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 747 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 748 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 749 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 750 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 751 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 752 4.843651354 -1.271109455 4.95056882 -7.97275898 -8.12640200
## 753 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 754 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 755 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 756 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 757 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 758 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 759 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 760 -7.448025142 -0.743794436 -0.47425585 -6.96461804 0.26966700
## 761 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 762 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 763 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 764 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 765 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 766 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 767 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 768 -0.898466703 6.232123740 3.66023368 0.18573908 2.16656623
## 769 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 770 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 771 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 772 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 773 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 774 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 775 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 776 9.529040141 -1.916319189 1.38406880 -9.53266417 0.86679735
## 777 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 778 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 779 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 780 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 781 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 782 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 783 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 784 -0.465159887 0.624650219 -3.16827692 0.55103662 0.08920055
## 785 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 786 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 787 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 788 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 789 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 790 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 791 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 792 -1.438917590 -0.697738790 -0.43818879 1.23550042 -1.47097066
## 793 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 794 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 795 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 796 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 797 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 798 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## 799 -0.768029395 0.234596133 -0.88237365 -0.65735710 1.45302932
## PC112_score PC113_score PC114_score
## 1 1.4148274 1.49412280 -4.533294e-13
## 2 1.4148274 1.49412280 -4.533294e-13
## 3 1.4148274 1.49412280 -4.533294e-13
## 4 1.4148274 1.49412280 -4.533294e-13
## 5 1.4148274 1.49412280 -4.533294e-13
## 6 1.4148274 1.49412280 -4.533294e-13
## 7 1.4148274 1.49412280 -4.533294e-13
## 8 1.4148274 1.49412280 -4.533294e-13
## 9 -0.9420224 18.21880120 -1.859786e-13
## 10 -0.9420224 18.21880120 -1.859786e-13
## 11 -0.9420224 18.21880120 -1.859786e-13
## 12 -0.9420224 18.21880120 -1.859786e-13
## 13 -0.9420224 18.21880120 -1.859786e-13
## 14 -0.9420224 18.21880120 -1.859786e-13
## 15 -0.9420224 18.21880120 -1.859786e-13
## 16 -0.9420224 18.21880120 -1.859786e-13
## 17 -0.3048741 2.48262768 2.808384e-12
## 18 -0.3048741 2.48262768 2.808384e-12
## 19 -0.3048741 2.48262768 2.808384e-12
## 20 -0.3048741 2.48262768 2.808384e-12
## 21 -0.3048741 2.48262768 2.808384e-12
## 22 -0.3048741 2.48262768 2.808384e-12
## 23 -0.3048741 2.48262768 2.808384e-12
## 24 -0.3048741 2.48262768 2.808384e-12
## 25 4.0697591 0.90915606 -3.903154e-13
## 26 4.0697591 0.90915606 -3.903154e-13
## 27 4.0697591 0.90915606 -3.903154e-13
## 28 4.0697591 0.90915606 -3.903154e-13
## 29 4.0697591 0.90915606 -3.903154e-13
## 30 4.0697591 0.90915606 -3.903154e-13
## 31 4.0697591 0.90915606 -3.903154e-13
## 32 4.0697591 0.90915606 -3.903154e-13
## 33 1.0648173 -2.62457265 -5.614928e-13
## 34 1.0648173 -2.62457265 -5.614928e-13
## 35 1.0648173 -2.62457265 -5.614928e-13
## 36 1.0648173 -2.62457265 -5.614928e-13
## 37 1.0648173 -2.62457265 -5.614928e-13
## 38 1.0648173 -2.62457265 -5.614928e-13
## 39 1.0648173 -2.62457265 -5.614928e-13
## 40 1.0648173 -2.62457265 -5.614928e-13
## 41 2.5703921 1.10521477 -5.647982e-13
## 42 2.5703921 1.10521477 -5.647982e-13
## 43 2.5703921 1.10521477 -5.647982e-13
## 44 2.5703921 1.10521477 -5.647982e-13
## 45 2.5703921 1.10521477 -5.647982e-13
## 46 2.5703921 1.10521477 -5.647982e-13
## 47 2.5703921 1.10521477 -5.647982e-13
## 48 2.5703921 1.10521477 -5.647982e-13
## 49 1.6934469 -1.39155202 5.481548e-13
## 50 1.6934469 -1.39155202 5.481548e-13
## 51 1.6934469 -1.39155202 5.481548e-13
## 52 1.6934469 -1.39155202 5.481548e-13
## 53 1.6934469 -1.39155202 5.481548e-13
## 54 1.6934469 -1.39155202 5.481548e-13
## 55 1.6934469 -1.39155202 5.481548e-13
## 56 1.6934469 -1.39155202 5.481548e-13
## 57 -3.0939225 0.31305484 -4.028056e-13
## 58 -3.0939225 0.31305484 -4.028056e-13
## 59 -3.0939225 0.31305484 -4.028056e-13
## 60 -3.0939225 0.31305484 -4.028056e-13
## 61 -3.0939225 0.31305484 -4.028056e-13
## 62 -3.0939225 0.31305484 -4.028056e-13
## 63 -3.0939225 0.31305484 -4.028056e-13
## 64 -3.0939225 0.31305484 -4.028056e-13
## 65 4.0962675 -0.92861228 -4.189001e-13
## 66 4.0962675 -0.92861228 -4.189001e-13
## 67 4.0962675 -0.92861228 -4.189001e-13
## 68 4.0962675 -0.92861228 -4.189001e-13
## 69 4.0962675 -0.92861228 -4.189001e-13
## 70 4.0962675 -0.92861228 -4.189001e-13
## 71 4.0962675 -0.92861228 -4.189001e-13
## 72 4.0962675 -0.92861228 -4.189001e-13
## 73 3.4583255 -0.47213268 -1.211138e-13
## 74 3.4583255 -0.47213268 -1.211138e-13
## 75 3.4583255 -0.47213268 -1.211138e-13
## 76 3.4583255 -0.47213268 -1.211138e-13
## 77 3.4583255 -0.47213268 -1.211138e-13
## 78 3.4583255 -0.47213268 -1.211138e-13
## 79 3.4583255 -0.47213268 -1.211138e-13
## 80 3.4583255 -0.47213268 -1.211138e-13
## 81 5.4969061 -6.02302791 -5.250193e-13
## 82 5.4969061 -6.02302791 -5.250193e-13
## 83 5.4969061 -6.02302791 -5.250193e-13
## 84 5.4969061 -6.02302791 -5.250193e-13
## 85 5.4969061 -6.02302791 -5.250193e-13
## 86 5.4969061 -6.02302791 -5.250193e-13
## 87 5.4969061 -6.02302791 -5.250193e-13
## 88 5.4969061 -6.02302791 -5.250193e-13
## 89 -0.1405416 0.27229721 -1.131584e-12
## 90 -0.1405416 0.27229721 -1.131584e-12
## 91 -0.1405416 0.27229721 -1.131584e-12
## 92 -0.1405416 0.27229721 -1.131584e-12
## 93 -0.1405416 0.27229721 -1.131584e-12
## 94 -0.1405416 0.27229721 -1.131584e-12
## 95 -0.1405416 0.27229721 -1.131584e-12
## 96 -0.1405416 0.27229721 -1.131584e-12
## 97 3.4604339 -2.37917159 -5.768107e-13
## 98 3.4604339 -2.37917159 -5.768107e-13
## 99 3.4604339 -2.37917159 -5.768107e-13
## 100 3.4604339 -2.37917159 -5.768107e-13
## 101 3.4604339 -2.37917159 -5.768107e-13
## 102 3.4604339 -2.37917159 -5.768107e-13
## 103 3.4604339 -2.37917159 -5.768107e-13
## 104 3.4604339 -2.37917159 -5.768107e-13
## 105 1.1103342 -2.99359955 4.018850e-13
## 106 1.1103342 -2.99359955 4.018850e-13
## 107 1.1103342 -2.99359955 4.018850e-13
## 108 1.1103342 -2.99359955 4.018850e-13
## 109 1.1103342 -2.99359955 4.018850e-13
## 110 1.1103342 -2.99359955 4.018850e-13
## 111 1.1103342 -2.99359955 4.018850e-13
## 112 1.1103342 -2.99359955 4.018850e-13
## 113 0.7615884 -1.97831718 -6.479807e-14
## 114 0.7615884 -1.97831718 -6.479807e-14
## 115 0.7615884 -1.97831718 -6.479807e-14
## 116 0.7615884 -1.97831718 -6.479807e-14
## 117 0.7615884 -1.97831718 -6.479807e-14
## 118 0.7615884 -1.97831718 -6.479807e-14
## 119 0.7615884 -1.97831718 -6.479807e-14
## 120 0.7615884 -1.97831718 -6.479807e-14
## 121 3.0838608 0.24733991 -2.425929e-13
## 122 3.0838608 0.24733991 -2.425929e-13
## 123 3.0838608 0.24733991 -2.425929e-13
## 124 3.0838608 0.24733991 -2.425929e-13
## 125 3.0838608 0.24733991 -2.425929e-13
## 126 3.0838608 0.24733991 -2.425929e-13
## 127 3.0838608 0.24733991 -2.425929e-13
## 128 3.0838608 0.24733991 -2.425929e-13
## 129 2.3730831 3.79054386 -3.021893e-13
## 130 2.3730831 3.79054386 -3.021893e-13
## 131 2.3730831 3.79054386 -3.021893e-13
## 132 2.3730831 3.79054386 -3.021893e-13
## 133 2.3730831 3.79054386 -3.021893e-13
## 134 2.3730831 3.79054386 -3.021893e-13
## 135 2.3730831 3.79054386 -3.021893e-13
## 136 2.3730831 3.79054386 -3.021893e-13
## 137 -0.1995103 0.34505860 -9.109605e-13
## 138 -0.1995103 0.34505860 -9.109605e-13
## 139 -0.1995103 0.34505860 -9.109605e-13
## 140 -0.1995103 0.34505860 -9.109605e-13
## 141 -0.1995103 0.34505860 -9.109605e-13
## 142 -0.1995103 0.34505860 -9.109605e-13
## 143 -0.1995103 0.34505860 -9.109605e-13
## 144 -0.1995103 0.34505860 -9.109605e-13
## 145 0.1128473 -2.82759740 -1.737488e-13
## 146 0.1128473 -2.82759740 -1.737488e-13
## 147 0.1128473 -2.82759740 -1.737488e-13
## 148 0.1128473 -2.82759740 -1.737488e-13
## 149 0.1128473 -2.82759740 -1.737488e-13
## 150 0.1128473 -2.82759740 -1.737488e-13
## 151 0.1128473 -2.82759740 -1.737488e-13
## 152 0.1128473 -2.82759740 -1.737488e-13
## 153 0.8484462 1.13115418 -7.599358e-13
## 154 0.8484462 1.13115418 -7.599358e-13
## 155 0.8484462 1.13115418 -7.599358e-13
## 156 0.8484462 1.13115418 -7.599358e-13
## 157 0.8484462 1.13115418 -7.599358e-13
## 158 0.8484462 1.13115418 -7.599358e-13
## 159 0.8484462 1.13115418 -7.599358e-13
## 160 0.8484462 1.13115418 -7.599358e-13
## 161 -2.1236791 1.87527546 -2.839919e-13
## 162 -2.1236791 1.87527546 -2.839919e-13
## 163 -2.1236791 1.87527546 -2.839919e-13
## 164 -2.1236791 1.87527546 -2.839919e-13
## 165 -2.1236791 1.87527546 -2.839919e-13
## 166 -2.1236791 1.87527546 -2.839919e-13
## 167 -2.1236791 1.87527546 -2.839919e-13
## 168 -2.1236791 1.87527546 -2.839919e-13
## 169 -90.2811724 -47.57635473 7.685131e-12
## 170 -90.2811724 -47.57635473 7.685131e-12
## 171 -90.2811724 -47.57635473 7.685131e-12
## 172 -90.2811724 -47.57635473 7.685131e-12
## 173 -90.2811724 -47.57635473 7.685131e-12
## 174 -90.2811724 -47.57635473 7.685131e-12
## 175 -90.2811724 -47.57635473 7.685131e-12
## 176 -90.2811724 -47.57635473 7.685131e-12
## 177 -1.3882427 -2.23571672 -9.125174e-13
## 178 -1.3882427 -2.23571672 -9.125174e-13
## 179 -1.3882427 -2.23571672 -9.125174e-13
## 180 -1.3882427 -2.23571672 -9.125174e-13
## 181 -1.3882427 -2.23571672 -9.125174e-13
## 182 -1.3882427 -2.23571672 -9.125174e-13
## 183 -1.3882427 -2.23571672 -9.125174e-13
## 184 -1.3882427 -2.23571672 -9.125174e-13
## 185 0.6067912 0.22280161 5.498479e-13
## 186 0.6067912 0.22280161 5.498479e-13
## 187 0.6067912 0.22280161 5.498479e-13
## 188 0.6067912 0.22280161 5.498479e-13
## 189 0.6067912 0.22280161 5.498479e-13
## 190 0.6067912 0.22280161 5.498479e-13
## 191 0.6067912 0.22280161 5.498479e-13
## 192 0.6067912 0.22280161 5.498479e-13
## 193 1.7200270 -1.36487440 6.290496e-13
## 194 1.7200270 -1.36487440 6.290496e-13
## 195 1.7200270 -1.36487440 6.290496e-13
## 196 1.7200270 -1.36487440 6.290496e-13
## 197 1.7200270 -1.36487440 6.290496e-13
## 198 1.7200270 -1.36487440 6.290496e-13
## 199 1.7200270 -1.36487440 6.290496e-13
## 200 1.7200270 -1.36487440 6.290496e-13
## 201 1.5343108 1.32327749 1.290556e-13
## 202 1.5343108 1.32327749 1.290556e-13
## 203 1.5343108 1.32327749 1.290556e-13
## 204 1.5343108 1.32327749 1.290556e-13
## 205 1.5343108 1.32327749 1.290556e-13
## 206 1.5343108 1.32327749 1.290556e-13
## 207 1.5343108 1.32327749 1.290556e-13
## 208 1.5343108 1.32327749 1.290556e-13
## 209 -1.3650749 -0.47038861 -2.308461e-13
## 210 -1.3650749 -0.47038861 -2.308461e-13
## 211 -1.3650749 -0.47038861 -2.308461e-13
## 212 -1.3650749 -0.47038861 -2.308461e-13
## 213 -1.3650749 -0.47038861 -2.308461e-13
## 214 -1.3650749 -0.47038861 -2.308461e-13
## 215 -1.3650749 -0.47038861 -2.308461e-13
## 216 -1.3650749 -0.47038861 -2.308461e-13
## 217 -0.3334792 0.80301782 -7.399135e-13
## 218 -0.3334792 0.80301782 -7.399135e-13
## 219 -0.3334792 0.80301782 -7.399135e-13
## 220 -0.3334792 0.80301782 -7.399135e-13
## 221 -0.3334792 0.80301782 -7.399135e-13
## 222 -0.3334792 0.80301782 -7.399135e-13
## 223 -0.3334792 0.80301782 -7.399135e-13
## 224 -0.3334792 0.80301782 -7.399135e-13
## 225 -17.5211297 -15.58397841 -5.955155e-13
## 226 -17.5211297 -15.58397841 -5.955155e-13
## 227 -17.5211297 -15.58397841 -5.955155e-13
## 228 -17.5211297 -15.58397841 -5.955155e-13
## 229 -17.5211297 -15.58397841 -5.955155e-13
## 230 -17.5211297 -15.58397841 -5.955155e-13
## 231 -17.5211297 -15.58397841 -5.955155e-13
## 232 -17.5211297 -15.58397841 -5.955155e-13
## 233 -0.7008797 -0.56805128 -3.408414e-13
## 234 -0.7008797 -0.56805128 -3.408414e-13
## 235 -0.7008797 -0.56805128 -3.408414e-13
## 236 -0.7008797 -0.56805128 -3.408414e-13
## 237 -0.7008797 -0.56805128 -3.408414e-13
## 238 -0.7008797 -0.56805128 -3.408414e-13
## 239 -0.7008797 -0.56805128 -3.408414e-13
## 240 -0.7008797 -0.56805128 -3.408414e-13
## 241 -1.8144896 -3.77406576 -5.700617e-13
## 242 -1.8144896 -3.77406576 -5.700617e-13
## 243 -1.8144896 -3.77406576 -5.700617e-13
## 244 -1.8144896 -3.77406576 -5.700617e-13
## 245 -1.8144896 -3.77406576 -5.700617e-13
## 246 -1.8144896 -3.77406576 -5.700617e-13
## 247 -1.8144896 -3.77406576 -5.700617e-13
## 248 -1.8144896 -3.77406576 -5.700617e-13
## 249 -0.3259632 0.71040983 -6.281049e-13
## 250 -0.3259632 0.71040983 -6.281049e-13
## 251 -0.3259632 0.71040983 -6.281049e-13
## 252 -0.3259632 0.71040983 -6.281049e-13
## 253 -0.3259632 0.71040983 -6.281049e-13
## 254 -0.3259632 0.71040983 -6.281049e-13
## 255 -0.3259632 0.71040983 -6.281049e-13
## 256 -0.3259632 0.71040983 -6.281049e-13
## 257 18.3466471 5.24067301 7.322391e-13
## 258 18.3466471 5.24067301 7.322391e-13
## 259 18.3466471 5.24067301 7.322391e-13
## 260 18.3466471 5.24067301 7.322391e-13
## 261 18.3466471 5.24067301 7.322391e-13
## 262 18.3466471 5.24067301 7.322391e-13
## 263 18.3466471 5.24067301 7.322391e-13
## 264 18.3466471 5.24067301 7.322391e-13
## 265 0.8099553 -2.33147488 -1.877201e-13
## 266 0.8099553 -2.33147488 -1.877201e-13
## 267 0.8099553 -2.33147488 -1.877201e-13
## 268 0.8099553 -2.33147488 -1.877201e-13
## 269 0.8099553 -2.33147488 -1.877201e-13
## 270 0.8099553 -2.33147488 -1.877201e-13
## 271 0.8099553 -2.33147488 -1.877201e-13
## 272 0.8099553 -2.33147488 -1.877201e-13
## 273 0.7288470 4.04805589 -3.089801e-13
## 274 0.7288470 4.04805589 -3.089801e-13
## 275 0.7288470 4.04805589 -3.089801e-13
## 276 0.7288470 4.04805589 -3.089801e-13
## 277 0.7288470 4.04805589 -3.089801e-13
## 278 0.7288470 4.04805589 -3.089801e-13
## 279 0.7288470 4.04805589 -3.089801e-13
## 280 0.7288470 4.04805589 -3.089801e-13
## 281 5.0870112 2.28808662 -5.491855e-13
## 282 5.0870112 2.28808662 -5.491855e-13
## 283 5.0870112 2.28808662 -5.491855e-13
## 284 5.0870112 2.28808662 -5.491855e-13
## 285 5.0870112 2.28808662 -5.491855e-13
## 286 5.0870112 2.28808662 -5.491855e-13
## 287 5.0870112 2.28808662 -5.491855e-13
## 288 5.0870112 2.28808662 -5.491855e-13
## 289 0.5626570 3.26314916 -2.516185e-13
## 290 0.5626570 3.26314916 -2.516185e-13
## 291 0.5626570 3.26314916 -2.516185e-13
## 292 0.5626570 3.26314916 -2.516185e-13
## 293 0.5626570 3.26314916 -2.516185e-13
## 294 0.5626570 3.26314916 -2.516185e-13
## 295 0.5626570 3.26314916 -2.516185e-13
## 296 0.5626570 3.26314916 -2.516185e-13
## 297 1.9296888 1.94492601 -4.251270e-13
## 298 1.9296888 1.94492601 -4.251270e-13
## 299 1.9296888 1.94492601 -4.251270e-13
## 300 1.9296888 1.94492601 -4.251270e-13
## 301 1.9296888 1.94492601 -4.251270e-13
## 302 1.9296888 1.94492601 -4.251270e-13
## 303 1.9296888 1.94492601 -4.251270e-13
## 304 1.9296888 1.94492601 -4.251270e-13
## 305 3.4976359 4.41319115 -7.184160e-13
## 306 3.4976359 4.41319115 -7.184160e-13
## 307 3.4976359 4.41319115 -7.184160e-13
## 308 3.4976359 4.41319115 -7.184160e-13
## 309 3.4976359 4.41319115 -7.184160e-13
## 310 3.4976359 4.41319115 -7.184160e-13
## 311 3.4976359 4.41319115 -7.184160e-13
## 312 3.4976359 4.41319115 -7.184160e-13
## 313 2.1053630 3.00915819 -4.857035e-13
## 314 2.1053630 3.00915819 -4.857035e-13
## 315 2.1053630 3.00915819 -4.857035e-13
## 316 2.1053630 3.00915819 -4.857035e-13
## 317 2.1053630 3.00915819 -4.857035e-13
## 318 2.1053630 3.00915819 -4.857035e-13
## 319 2.1053630 3.00915819 -4.857035e-13
## 320 2.1053630 3.00915819 -4.857035e-13
## 321 3.4300299 0.23704927 -2.062629e-13
## 322 3.4300299 0.23704927 -2.062629e-13
## 323 3.4300299 0.23704927 -2.062629e-13
## 324 3.4300299 0.23704927 -2.062629e-13
## 325 3.4300299 0.23704927 -2.062629e-13
## 326 3.4300299 0.23704927 -2.062629e-13
## 327 3.4300299 0.23704927 -2.062629e-13
## 328 3.4300299 0.23704927 -2.062629e-13
## 329 1.0873254 -1.14103499 -4.690939e-13
## 330 1.0873254 -1.14103499 -4.690939e-13
## 331 1.0873254 -1.14103499 -4.690939e-13
## 332 1.0873254 -1.14103499 -4.690939e-13
## 333 1.0873254 -1.14103499 -4.690939e-13
## 334 1.0873254 -1.14103499 -4.690939e-13
## 335 1.0873254 -1.14103499 -4.690939e-13
## 336 1.0873254 -1.14103499 -4.690939e-13
## 337 1.4709344 -1.50455696 -1.122402e-13
## 338 1.4709344 -1.50455696 -1.122402e-13
## 339 1.4709344 -1.50455696 -1.122402e-13
## 340 1.4709344 -1.50455696 -1.122402e-13
## 341 1.4709344 -1.50455696 -1.122402e-13
## 342 1.4709344 -1.50455696 -1.122402e-13
## 343 1.4709344 -1.50455696 -1.122402e-13
## 344 1.4709344 -1.50455696 -1.122402e-13
## 345 -1.5078257 0.21734248 9.173570e-13
## 346 -1.5078257 0.21734248 9.173570e-13
## 347 -1.5078257 0.21734248 9.173570e-13
## 348 -1.5078257 0.21734248 9.173570e-13
## 349 -1.5078257 0.21734248 9.173570e-13
## 350 -1.5078257 0.21734248 9.173570e-13
## 351 -1.5078257 0.21734248 9.173570e-13
## 352 -1.5078257 0.21734248 9.173570e-13
## 353 1.6683274 -5.58315145 -2.208218e-13
## 354 1.6683274 -5.58315145 -2.208218e-13
## 355 1.6683274 -5.58315145 -2.208218e-13
## 356 1.6683274 -5.58315145 -2.208218e-13
## 357 1.6683274 -5.58315145 -2.208218e-13
## 358 1.6683274 -5.58315145 -2.208218e-13
## 359 1.6683274 -5.58315145 -2.208218e-13
## 360 1.6683274 -5.58315145 -2.208218e-13
## 361 -0.7563330 -0.02114709 -3.381523e-13
## 362 -0.7563330 -0.02114709 -3.381523e-13
## 363 -0.7563330 -0.02114709 -3.381523e-13
## 364 -0.7563330 -0.02114709 -3.381523e-13
## 365 -0.7563330 -0.02114709 -3.381523e-13
## 366 -0.7563330 -0.02114709 -3.381523e-13
## 367 -0.7563330 -0.02114709 -3.381523e-13
## 368 -0.7563330 -0.02114709 -3.381523e-13
## 369 0.3017284 5.79066222 -4.332042e-13
## 370 0.3017284 5.79066222 -4.332042e-13
## 371 0.3017284 5.79066222 -4.332042e-13
## 372 0.3017284 5.79066222 -4.332042e-13
## 373 0.3017284 5.79066222 -4.332042e-13
## 374 0.3017284 5.79066222 -4.332042e-13
## 375 0.3017284 5.79066222 -4.332042e-13
## 376 0.3017284 5.79066222 -4.332042e-13
## 377 -1.6661423 -2.27070480 -1.336714e-13
## 378 -1.6661423 -2.27070480 -1.336714e-13
## 379 -1.6661423 -2.27070480 -1.336714e-13
## 380 -1.6661423 -2.27070480 -1.336714e-13
## 381 -1.6661423 -2.27070480 -1.336714e-13
## 382 -1.6661423 -2.27070480 -1.336714e-13
## 383 -1.6661423 -2.27070480 -1.336714e-13
## 384 -1.6661423 -2.27070480 -1.336714e-13
## 385 4.3873997 -9.03093116 -1.422446e-15
## 386 4.3873997 -9.03093116 -1.422446e-15
## 387 4.3873997 -9.03093116 -1.422446e-15
## 388 4.3873997 -9.03093116 -1.422446e-15
## 389 4.3873997 -9.03093116 -1.422446e-15
## 390 4.3873997 -9.03093116 -1.422446e-15
## 391 4.3873997 -9.03093116 -1.422446e-15
## 392 4.3873997 -9.03093116 -1.422446e-15
## 393 17.5612558 41.65373677 -4.793836e-13
## 394 17.5612558 41.65373677 -4.793836e-13
## 395 17.5612558 41.65373677 -4.793836e-13
## 396 17.5612558 41.65373677 -4.793836e-13
## 397 17.5612558 41.65373677 -4.793836e-13
## 398 17.5612558 41.65373677 -4.793836e-13
## 399 17.5612558 41.65373677 -4.793836e-13
## 400 17.5612558 41.65373677 -4.793836e-13
## 401 -0.3387246 -0.89887474 -4.605406e-13
## 402 -0.3387246 -0.89887474 -4.605406e-13
## 403 -0.3387246 -0.89887474 -4.605406e-13
## 404 -0.3387246 -0.89887474 -4.605406e-13
## 405 -0.3387246 -0.89887474 -4.605406e-13
## 406 -0.3387246 -0.89887474 -4.605406e-13
## 407 -0.3387246 -0.89887474 -4.605406e-13
## 408 -0.3387246 -0.89887474 -4.605406e-13
## 409 6.3597334 2.70659258 1.360473e-12
## 410 6.3597334 2.70659258 1.360473e-12
## 411 6.3597334 2.70659258 1.360473e-12
## 412 6.3597334 2.70659258 1.360473e-12
## 413 6.3597334 2.70659258 1.360473e-12
## 414 6.3597334 2.70659258 1.360473e-12
## 415 6.3597334 2.70659258 1.360473e-12
## 416 6.3597334 2.70659258 1.360473e-12
## 417 10.4601017 3.25156548 -8.684756e-13
## 418 10.4601017 3.25156548 -8.684756e-13
## 419 10.4601017 3.25156548 -8.684756e-13
## 420 10.4601017 3.25156548 -8.684756e-13
## 421 10.4601017 3.25156548 -8.684756e-13
## 422 10.4601017 3.25156548 -8.684756e-13
## 423 10.4601017 3.25156548 -8.684756e-13
## 424 10.4601017 3.25156548 -8.684756e-13
## 425 1.4639410 -1.24551530 -4.134322e-13
## 426 1.4639410 -1.24551530 -4.134322e-13
## 427 1.4639410 -1.24551530 -4.134322e-13
## 428 1.4639410 -1.24551530 -4.134322e-13
## 429 1.4639410 -1.24551530 -4.134322e-13
## 430 1.4639410 -1.24551530 -4.134322e-13
## 431 1.4639410 -1.24551530 -4.134322e-13
## 432 1.4639410 -1.24551530 -4.134322e-13
## 433 3.5572468 -3.19503002 6.079857e-13
## 434 3.5572468 -3.19503002 6.079857e-13
## 435 3.5572468 -3.19503002 6.079857e-13
## 436 3.5572468 -3.19503002 6.079857e-13
## 437 3.5572468 -3.19503002 6.079857e-13
## 438 3.5572468 -3.19503002 6.079857e-13
## 439 3.5572468 -3.19503002 6.079857e-13
## 440 3.5572468 -3.19503002 6.079857e-13
## 441 -0.2822971 0.13882185 -5.923620e-13
## 442 -0.2822971 0.13882185 -5.923620e-13
## 443 -0.2822971 0.13882185 -5.923620e-13
## 444 -0.2822971 0.13882185 -5.923620e-13
## 445 -0.2822971 0.13882185 -5.923620e-13
## 446 -0.2822971 0.13882185 -5.923620e-13
## 447 -0.2822971 0.13882185 -5.923620e-13
## 448 -0.2822971 0.13882185 -5.923620e-13
## 449 -0.2517120 1.21284400 -7.159266e-13
## 450 -0.2517120 1.21284400 -7.159266e-13
## 451 -0.2517120 1.21284400 -7.159266e-13
## 452 -0.2517120 1.21284400 -7.159266e-13
## 453 -0.2517120 1.21284400 -7.159266e-13
## 454 -0.2517120 1.21284400 -7.159266e-13
## 455 -0.2517120 1.21284400 -7.159266e-13
## 456 -0.2517120 1.21284400 -7.159266e-13
## 457 -0.5438947 2.38554150 2.816641e-13
## 458 -0.5438947 2.38554150 2.816641e-13
## 459 -0.5438947 2.38554150 2.816641e-13
## 460 -0.5438947 2.38554150 2.816641e-13
## 461 -0.5438947 2.38554150 2.816641e-13
## 462 -0.5438947 2.38554150 2.816641e-13
## 463 -0.5438947 2.38554150 2.816641e-13
## 464 -0.5438947 2.38554150 2.816641e-13
## 465 1.8298988 -1.83993387 -2.121496e-13
## 466 1.8298988 -1.83993387 -2.121496e-13
## 467 1.8298988 -1.83993387 -2.121496e-13
## 468 1.8298988 -1.83993387 -2.121496e-13
## 469 1.8298988 -1.83993387 -2.121496e-13
## 470 1.8298988 -1.83993387 -2.121496e-13
## 471 1.8298988 -1.83993387 -2.121496e-13
## 472 1.8298988 -1.83993387 -2.121496e-13
## 473 -0.2280190 -3.12905867 1.221803e-13
## 474 -0.2280190 -3.12905867 1.221803e-13
## 475 -0.2280190 -3.12905867 1.221803e-13
## 476 -0.2280190 -3.12905867 1.221803e-13
## 477 -0.2280190 -3.12905867 1.221803e-13
## 478 -0.2280190 -3.12905867 1.221803e-13
## 479 -0.2280190 -3.12905867 1.221803e-13
## 480 -0.2280190 -3.12905867 1.221803e-13
## 481 0.7021628 -1.21136103 2.088518e-13
## 482 0.7021628 -1.21136103 2.088518e-13
## 483 0.7021628 -1.21136103 2.088518e-13
## 484 0.7021628 -1.21136103 2.088518e-13
## 485 0.7021628 -1.21136103 2.088518e-13
## 486 0.7021628 -1.21136103 2.088518e-13
## 487 0.7021628 -1.21136103 2.088518e-13
## 488 0.7021628 -1.21136103 2.088518e-13
## 489 1.6136789 -2.07746342 -8.875938e-13
## 490 1.6136789 -2.07746342 -8.875938e-13
## 491 1.6136789 -2.07746342 -8.875938e-13
## 492 1.6136789 -2.07746342 -8.875938e-13
## 493 1.6136789 -2.07746342 -8.875938e-13
## 494 1.6136789 -2.07746342 -8.875938e-13
## 495 1.6136789 -2.07746342 -8.875938e-13
## 496 1.6136789 -2.07746342 -8.875938e-13
## 497 0.6711785 2.90600563 -4.828925e-13
## 498 0.6711785 2.90600563 -4.828925e-13
## 499 0.6711785 2.90600563 -4.828925e-13
## 500 0.6711785 2.90600563 -4.828925e-13
## 501 0.6711785 2.90600563 -4.828925e-13
## 502 0.6711785 2.90600563 -4.828925e-13
## 503 0.6711785 2.90600563 -4.828925e-13
## 504 0.6711785 2.90600563 -4.828925e-13
## 505 -0.8755790 0.60791226 -4.999264e-13
## 506 -0.8755790 0.60791226 -4.999264e-13
## 507 -0.8755790 0.60791226 -4.999264e-13
## 508 -0.8755790 0.60791226 -4.999264e-13
## 509 -0.8755790 0.60791226 -4.999264e-13
## 510 -0.8755790 0.60791226 -4.999264e-13
## 511 -0.8755790 0.60791226 -4.999264e-13
## 512 -0.8755790 0.60791226 -4.999264e-13
## 513 0.2757577 -1.68887151 -3.852308e-13
## 514 0.2757577 -1.68887151 -3.852308e-13
## 515 0.2757577 -1.68887151 -3.852308e-13
## 516 0.2757577 -1.68887151 -3.852308e-13
## 517 0.2757577 -1.68887151 -3.852308e-13
## 518 0.2757577 -1.68887151 -3.852308e-13
## 519 0.2757577 -1.68887151 -3.852308e-13
## 520 0.2757577 -1.68887151 -3.852308e-13
## 521 0.2942028 1.39935220 6.588907e-13
## 522 0.2942028 1.39935220 6.588907e-13
## 523 0.2942028 1.39935220 6.588907e-13
## 524 0.2942028 1.39935220 6.588907e-13
## 525 0.2942028 1.39935220 6.588907e-13
## 526 0.2942028 1.39935220 6.588907e-13
## 527 0.2942028 1.39935220 6.588907e-13
## 528 0.2942028 1.39935220 6.588907e-13
## 529 0.2485957 3.04746494 -1.640108e-13
## 530 0.2485957 3.04746494 -1.640108e-13
## 531 0.2485957 3.04746494 -1.640108e-13
## 532 0.2485957 3.04746494 -1.640108e-13
## 533 0.2485957 3.04746494 -1.640108e-13
## 534 0.2485957 3.04746494 -1.640108e-13
## 535 0.2485957 3.04746494 -1.640108e-13
## 536 0.2485957 3.04746494 -1.640108e-13
## 537 1.0478639 -0.19005535 5.427456e-13
## 538 1.0478639 -0.19005535 5.427456e-13
## 539 1.0478639 -0.19005535 5.427456e-13
## 540 1.0478639 -0.19005535 5.427456e-13
## 541 1.0478639 -0.19005535 5.427456e-13
## 542 1.0478639 -0.19005535 5.427456e-13
## 543 1.0478639 -0.19005535 5.427456e-13
## 544 1.0478639 -0.19005535 5.427456e-13
## 545 -13.4980609 -3.02691926 -2.296559e-13
## 546 -13.4980609 -3.02691926 -2.296559e-13
## 547 -13.4980609 -3.02691926 -2.296559e-13
## 548 -13.4980609 -3.02691926 -2.296559e-13
## 549 -13.4980609 -3.02691926 -2.296559e-13
## 550 -13.4980609 -3.02691926 -2.296559e-13
## 551 -13.4980609 -3.02691926 -2.296559e-13
## 552 -13.4980609 -3.02691926 -2.296559e-13
## 553 0.7883502 -0.59502197 -6.388263e-13
## 554 0.7883502 -0.59502197 -6.388263e-13
## 555 0.7883502 -0.59502197 -6.388263e-13
## 556 0.7883502 -0.59502197 -6.388263e-13
## 557 0.7883502 -0.59502197 -6.388263e-13
## 558 0.7883502 -0.59502197 -6.388263e-13
## 559 0.7883502 -0.59502197 -6.388263e-13
## 560 0.7883502 -0.59502197 -6.388263e-13
## 561 -0.2272230 -0.44023770 2.249737e-12
## 562 -0.2272230 -0.44023770 2.249737e-12
## 563 -0.2272230 -0.44023770 2.249737e-12
## 564 -0.2272230 -0.44023770 2.249737e-12
## 565 -0.2272230 -0.44023770 2.249737e-12
## 566 -0.2272230 -0.44023770 2.249737e-12
## 567 -0.2272230 -0.44023770 2.249737e-12
## 568 -0.2272230 -0.44023770 2.249737e-12
## 569 0.5559299 8.25067381 -6.895146e-13
## 570 0.5559299 8.25067381 -6.895146e-13
## 571 0.5559299 8.25067381 -6.895146e-13
## 572 0.5559299 8.25067381 -6.895146e-13
## 573 0.5559299 8.25067381 -6.895146e-13
## 574 0.5559299 8.25067381 -6.895146e-13
## 575 0.5559299 8.25067381 -6.895146e-13
## 576 0.5559299 8.25067381 -6.895146e-13
## 577 -3.8026009 -2.71331242 -6.098075e-13
## 578 -3.8026009 -2.71331242 -6.098075e-13
## 579 -3.8026009 -2.71331242 -6.098075e-13
## 580 -3.8026009 -2.71331242 -6.098075e-13
## 581 -3.8026009 -2.71331242 -6.098075e-13
## 582 -3.8026009 -2.71331242 -6.098075e-13
## 583 -3.8026009 -2.71331242 -6.098075e-13
## 584 -3.8026009 -2.71331242 -6.098075e-13
## 585 -0.6983323 0.75962222 -7.624597e-13
## 586 -0.6983323 0.75962222 -7.624597e-13
## 587 -0.6983323 0.75962222 -7.624597e-13
## 588 -0.6983323 0.75962222 -7.624597e-13
## 589 -0.6983323 0.75962222 -7.624597e-13
## 590 -0.6983323 0.75962222 -7.624597e-13
## 591 -0.6983323 0.75962222 -7.624597e-13
## 592 -0.6983323 0.75962222 -7.624597e-13
## 593 -0.5107083 0.06626508 -3.432755e-13
## 594 -0.5107083 0.06626508 -3.432755e-13
## 595 -0.5107083 0.06626508 -3.432755e-13
## 596 -0.5107083 0.06626508 -3.432755e-13
## 597 -0.5107083 0.06626508 -3.432755e-13
## 598 -0.5107083 0.06626508 -3.432755e-13
## 599 -0.5107083 0.06626508 -3.432755e-13
## 600 -0.5107083 0.06626508 -3.432755e-13
## 601 3.5877223 0.57948295 -5.914942e-13
## 602 3.5877223 0.57948295 -5.914942e-13
## 603 3.5877223 0.57948295 -5.914942e-13
## 604 3.5877223 0.57948295 -5.914942e-13
## 605 3.5877223 0.57948295 -5.914942e-13
## 606 3.5877223 0.57948295 -5.914942e-13
## 607 3.5877223 0.57948295 -5.914942e-13
## 608 3.5877223 0.57948295 -5.914942e-13
## 609 -5.8785297 -3.53513384 1.657996e-11
## 610 -5.8785297 -3.53513384 1.657996e-11
## 611 -5.8785297 -3.53513384 1.657996e-11
## 612 -5.8785297 -3.53513384 1.657996e-11
## 613 -5.8785297 -3.53513384 1.657996e-11
## 614 -5.8785297 -3.53513384 1.657996e-11
## 615 -5.8785297 -3.53513384 1.657996e-11
## 616 -5.8785297 -3.53513384 1.657996e-11
## 617 0.7464386 -0.28299838 -4.008094e-13
## 618 0.7464386 -0.28299838 -4.008094e-13
## 619 0.7464386 -0.28299838 -4.008094e-13
## 620 0.7464386 -0.28299838 -4.008094e-13
## 621 0.7464386 -0.28299838 -4.008094e-13
## 622 0.7464386 -0.28299838 -4.008094e-13
## 623 0.7464386 -0.28299838 -4.008094e-13
## 624 0.7464386 -0.28299838 -4.008094e-13
## 625 -0.6720901 -1.39216525 -3.319594e-13
## 626 -0.6720901 -1.39216525 -3.319594e-13
## 627 -0.6720901 -1.39216525 -3.319594e-13
## 628 -0.6720901 -1.39216525 -3.319594e-13
## 629 -0.6720901 -1.39216525 -3.319594e-13
## 630 -0.6720901 -1.39216525 -3.319594e-13
## 631 -0.6720901 -1.39216525 -3.319594e-13
## 632 -0.6720901 -1.39216525 -3.319594e-13
## 633 0.1417439 -1.73631160 -5.725625e-13
## 634 0.1417439 -1.73631160 -5.725625e-13
## 635 0.1417439 -1.73631160 -5.725625e-13
## 636 0.1417439 -1.73631160 -5.725625e-13
## 637 0.1417439 -1.73631160 -5.725625e-13
## 638 0.1417439 -1.73631160 -5.725625e-13
## 639 0.1417439 -1.73631160 -5.725625e-13
## 640 0.1417439 -1.73631160 -5.725625e-13
## 641 -0.5729072 0.97241980 -5.355510e-13
## 642 -0.5729072 0.97241980 -5.355510e-13
## 643 -0.5729072 0.97241980 -5.355510e-13
## 644 -0.5729072 0.97241980 -5.355510e-13
## 645 -0.5729072 0.97241980 -5.355510e-13
## 646 -0.5729072 0.97241980 -5.355510e-13
## 647 -0.5729072 0.97241980 -5.355510e-13
## 648 -0.5729072 0.97241980 -5.355510e-13
## 649 2.1220516 2.13901658 -3.188817e-13
## 650 2.1220516 2.13901658 -3.188817e-13
## 651 2.1220516 2.13901658 -3.188817e-13
## 652 2.1220516 2.13901658 -3.188817e-13
## 653 2.1220516 2.13901658 -3.188817e-13
## 654 2.1220516 2.13901658 -3.188817e-13
## 655 2.1220516 2.13901658 -3.188817e-13
## 656 2.1220516 2.13901658 -3.188817e-13
## 657 0.5747392 -1.20752602 -3.295431e-13
## 658 0.5747392 -1.20752602 -3.295431e-13
## 659 0.5747392 -1.20752602 -3.295431e-13
## 660 0.5747392 -1.20752602 -3.295431e-13
## 661 0.5747392 -1.20752602 -3.295431e-13
## 662 0.5747392 -1.20752602 -3.295431e-13
## 663 0.5747392 -1.20752602 -3.295431e-13
## 664 0.5747392 -1.20752602 -3.295431e-13
## 665 -0.1043331 -0.05899034 -3.923720e-13
## 666 -0.1043331 -0.05899034 -3.923720e-13
## 667 -0.1043331 -0.05899034 -3.923720e-13
## 668 -0.1043331 -0.05899034 -3.923720e-13
## 669 -0.1043331 -0.05899034 -3.923720e-13
## 670 -0.1043331 -0.05899034 -3.923720e-13
## 671 -0.1043331 -0.05899034 -3.923720e-13
## 672 -0.1043331 -0.05899034 -3.923720e-13
## 673 -3.5628403 3.12481451 7.595787e-13
## 674 -3.5628403 3.12481451 7.595787e-13
## 675 -3.5628403 3.12481451 7.595787e-13
## 676 -3.5628403 3.12481451 7.595787e-13
## 677 -3.5628403 3.12481451 7.595787e-13
## 678 -3.5628403 3.12481451 7.595787e-13
## 679 -3.5628403 3.12481451 7.595787e-13
## 680 -3.5628403 3.12481451 7.595787e-13
## 681 -4.5701434 0.44380739 3.046376e-13
## 682 -4.5701434 0.44380739 3.046376e-13
## 683 -4.5701434 0.44380739 3.046376e-13
## 684 -4.5701434 0.44380739 3.046376e-13
## 685 -4.5701434 0.44380739 3.046376e-13
## 686 -4.5701434 0.44380739 3.046376e-13
## 687 -4.5701434 0.44380739 3.046376e-13
## 688 -4.5701434 0.44380739 3.046376e-13
## 689 7.3904372 6.16449885 -1.541553e-13
## 690 7.3904372 6.16449885 -1.541553e-13
## 691 7.3904372 6.16449885 -1.541553e-13
## 692 7.3904372 6.16449885 -1.541553e-13
## 693 7.3904372 6.16449885 -1.541553e-13
## 694 7.3904372 6.16449885 -1.541553e-13
## 695 7.3904372 6.16449885 -1.541553e-13
## 696 7.3904372 6.16449885 -1.541553e-13
## 697 3.1099016 -2.77068356 1.498253e-12
## 698 3.1099016 -2.77068356 1.498253e-12
## 699 3.1099016 -2.77068356 1.498253e-12
## 700 3.1099016 -2.77068356 1.498253e-12
## 701 3.1099016 -2.77068356 1.498253e-12
## 702 3.1099016 -2.77068356 1.498253e-12
## 703 3.1099016 -2.77068356 1.498253e-12
## 704 3.1099016 -2.77068356 1.498253e-12
## 705 29.6197224 -26.88058048 -5.034342e-13
## 706 29.6197224 -26.88058048 -5.034342e-13
## 707 29.6197224 -26.88058048 -5.034342e-13
## 708 29.6197224 -26.88058048 -5.034342e-13
## 709 29.6197224 -26.88058048 -5.034342e-13
## 710 29.6197224 -26.88058048 -5.034342e-13
## 711 29.6197224 -26.88058048 -5.034342e-13
## 712 29.6197224 -26.88058048 -5.034342e-13
## 713 -3.3832974 1.58322685 -7.471443e-13
## 714 -3.3832974 1.58322685 -7.471443e-13
## 715 -3.3832974 1.58322685 -7.471443e-13
## 716 -3.3832974 1.58322685 -7.471443e-13
## 717 -3.3832974 1.58322685 -7.471443e-13
## 718 -3.3832974 1.58322685 -7.471443e-13
## 719 -3.3832974 1.58322685 -7.471443e-13
## 720 -3.3832974 1.58322685 -7.471443e-13
## 721 5.2675274 -7.96908680 -5.768061e-13
## 722 5.2675274 -7.96908680 -5.768061e-13
## 723 5.2675274 -7.96908680 -5.768061e-13
## 724 5.2675274 -7.96908680 -5.768061e-13
## 725 5.2675274 -7.96908680 -5.768061e-13
## 726 5.2675274 -7.96908680 -5.768061e-13
## 727 5.2675274 -7.96908680 -5.768061e-13
## 728 5.2675274 -7.96908680 -5.768061e-13
## 729 -0.6960962 0.77149905 -4.338489e-13
## 730 -0.6960962 0.77149905 -4.338489e-13
## 731 -0.6960962 0.77149905 -4.338489e-13
## 732 -0.6960962 0.77149905 -4.338489e-13
## 733 -0.6960962 0.77149905 -4.338489e-13
## 734 -0.6960962 0.77149905 -4.338489e-13
## 735 -0.6960962 0.77149905 -4.338489e-13
## 736 -0.6960962 0.77149905 -4.338489e-13
## 737 -0.5374186 -0.48599595 1.443543e-13
## 738 -0.5374186 -0.48599595 1.443543e-13
## 739 -0.5374186 -0.48599595 1.443543e-13
## 740 -0.5374186 -0.48599595 1.443543e-13
## 741 -0.5374186 -0.48599595 1.443543e-13
## 742 -0.5374186 -0.48599595 1.443543e-13
## 743 -0.5374186 -0.48599595 1.443543e-13
## 744 -0.5374186 -0.48599595 1.443543e-13
## 745 1.7902693 -1.22572189 -4.398869e-13
## 746 1.7902693 -1.22572189 -4.398869e-13
## 747 1.7902693 -1.22572189 -4.398869e-13
## 748 1.7902693 -1.22572189 -4.398869e-13
## 749 1.7902693 -1.22572189 -4.398869e-13
## 750 1.7902693 -1.22572189 -4.398869e-13
## 751 1.7902693 -1.22572189 -4.398869e-13
## 752 1.7902693 -1.22572189 -4.398869e-13
## 753 -3.0758989 -2.66446819 -8.411070e-14
## 754 -3.0758989 -2.66446819 -8.411070e-14
## 755 -3.0758989 -2.66446819 -8.411070e-14
## 756 -3.0758989 -2.66446819 -8.411070e-14
## 757 -3.0758989 -2.66446819 -8.411070e-14
## 758 -3.0758989 -2.66446819 -8.411070e-14
## 759 -3.0758989 -2.66446819 -8.411070e-14
## 760 -3.0758989 -2.66446819 -8.411070e-14
## 761 0.4753363 -1.61446672 -1.938996e-13
## 762 0.4753363 -1.61446672 -1.938996e-13
## 763 0.4753363 -1.61446672 -1.938996e-13
## 764 0.4753363 -1.61446672 -1.938996e-13
## 765 0.4753363 -1.61446672 -1.938996e-13
## 766 0.4753363 -1.61446672 -1.938996e-13
## 767 0.4753363 -1.61446672 -1.938996e-13
## 768 0.4753363 -1.61446672 -1.938996e-13
## 769 8.1233752 -3.05817824 -2.146910e-13
## 770 8.1233752 -3.05817824 -2.146910e-13
## 771 8.1233752 -3.05817824 -2.146910e-13
## 772 8.1233752 -3.05817824 -2.146910e-13
## 773 8.1233752 -3.05817824 -2.146910e-13
## 774 8.1233752 -3.05817824 -2.146910e-13
## 775 8.1233752 -3.05817824 -2.146910e-13
## 776 8.1233752 -3.05817824 -2.146910e-13
## 777 1.6625783 1.06189815 -1.230368e-13
## 778 1.6625783 1.06189815 -1.230368e-13
## 779 1.6625783 1.06189815 -1.230368e-13
## 780 1.6625783 1.06189815 -1.230368e-13
## 781 1.6625783 1.06189815 -1.230368e-13
## 782 1.6625783 1.06189815 -1.230368e-13
## 783 1.6625783 1.06189815 -1.230368e-13
## 784 1.6625783 1.06189815 -1.230368e-13
## 785 -0.5498691 -0.49374838 -4.534064e-13
## 786 -0.5498691 -0.49374838 -4.534064e-13
## 787 -0.5498691 -0.49374838 -4.534064e-13
## 788 -0.5498691 -0.49374838 -4.534064e-13
## 789 -0.5498691 -0.49374838 -4.534064e-13
## 790 -0.5498691 -0.49374838 -4.534064e-13
## 791 -0.5498691 -0.49374838 -4.534064e-13
## 792 -0.5498691 -0.49374838 -4.534064e-13
## 793 1.5519610 -1.18302194 2.172642e-13
## 794 1.5519610 -1.18302194 2.172642e-13
## 795 1.5519610 -1.18302194 2.172642e-13
## 796 1.5519610 -1.18302194 2.172642e-13
## 797 1.5519610 -1.18302194 2.172642e-13
## 798 1.5519610 -1.18302194 2.172642e-13
## 799 1.5519610 -1.18302194 2.172642e-13
## [ reached 'max' / getOption("max.print") -- omitted 48374 rows ]# If feedback is continuous rather than categorical
ggplot(results_df_allsessions, aes(x = PC1_score, y = PC2_score, color = feedback)) +
geom_point(alpha = 0.2) +
#scale_color_gradient2(low = "blue", mid = "white", high = "red", midpoint = 0) +
labs(title = "PC1 vs PC2 Colored by Feedback",
x = "PC1 Score",
y = "PC2 Score") +
theme_minimal() + facet_wrap(~session)I now want to see how these PCs may correlate with feedback score. I want to see if some PCs have a higher correlation with feedback than others. If some PCs have no correlation with feedback score, then we can ignore them from the prediction model.
# Assuming you have results_df_allsessions with PC scores and feedback variable
# 1. Calculate correlation between each PC and feedback
pc_feedback_correlation <- data.frame(
PC = character(),
Correlation = numeric(),
P_Value = numeric()
)
# Check that feedback is numeric
if (!is.numeric(results_df_allsessions$feedback)) {
results_df_allsessions$feedback_numeric <- as.numeric(as.character(results_df_allsessions$feedback))
} else {
results_df_allsessions$feedback_numeric <- results_df_allsessions$feedback
}
# Calculate correlation for first 20 PCs (or however many you have)
max_pcs <- 20 # Adjust based on your data
for (i in 1:max_pcs) {
pc_col <- paste0("PC", i, "_score")
# Skip if this PC column doesn't exist
if (!pc_col %in% colnames(results_df_allsessions)) next
# Calculate correlation
cor_test <- cor.test(results_df_allsessions[[pc_col]],
results_df_allsessions$feedback_numeric,
use = "pairwise.complete.obs")
# Add to results
pc_feedback_correlation <- rbind(pc_feedback_correlation, data.frame(
PC = paste0("PC", i),
Correlation = cor_test$estimate,
P_Value = cor_test$p.value
))
}
# Add significance indicator
pc_feedback_correlation$Significant <- pc_feedback_correlation$P_Value < 0.05
# Sort by absolute correlation strength
pc_feedback_correlation$Abs_Correlation <- abs(pc_feedback_correlation$Correlation)
pc_feedback_correlation <- pc_feedback_correlation[order(pc_feedback_correlation$Abs_Correlation, decreasing = TRUE), ]
# Print top PCs by correlation with feedback
print(pc_feedback_correlation)
# 2. Visualize correlations
library(ggplot2)
# Bar plot of correlations
ggplot(pc_feedback_correlation, aes(x = reorder(PC, Abs_Correlation), y = Correlation, fill = Significant)) +
geom_bar(stat = "identity") +
coord_flip() +
scale_fill_manual(values = c("FALSE" = "gray", "TRUE" = "blue")) +
labs(title = "Correlation Between Principal Components and Feedback",
subtitle = "Sorted by correlation strength",
x = "Principal Component",
y = "Correlation with Feedback") +
theme_minimal()
# 3. Create model to predict feedback from PCs
pc_columns <- paste0("PC", 1:max_pcs, "_score")
pc_columns <- pc_columns[pc_columns %in% colnames(results_df_allsessions)]
# First check what values are in your feedback variable
print("Feedback variable values:")
print(table(results_df_allsessions$feedback_numeric))
# Transform the feedback variable for logistic regression if needed
# Check if feedback is already 0/1
if (!all(results_df_allsessions$feedback_numeric %in% c(0, 1, NA))) {
# If feedback is -1/1
if (all(na.omit(results_df_allsessions$feedback_numeric) %in% c(-1, 1))) {
results_df_allsessions$feedback_binary <- ifelse(results_df_allsessions$feedback_numeric == 1, 1, 0)
cat("Transformed feedback from -1/1 to 0/1 for logistic regression\n")
} else {
# For other values, use a threshold approach
results_df_allsessions$feedback_binary <- ifelse(results_df_allsessions$feedback_numeric > mean(results_df_allsessions$feedback_numeric, na.rm = TRUE), 1, 0)
cat("Transformed feedback using mean threshold for logistic regression\n")
}
} else {
# Already binary
results_df_allsessions$feedback_binary <- results_df_allsessions$feedback_numeric
cat("Feedback already in 0/1 format\n")
}
# Create formula for logistic regression
formula_str <- paste("feedback_binary ~", paste(pc_columns, collapse = " + "))
formula_obj <- as.formula(formula_str)
# Try fitting logistic model
tryCatch({
logistic_model <- glm(formula_obj, data = results_df_allsessions, family = "binomial")
# Get summary
model_summary <- summary(logistic_model)
# Extract coefficients and p-values
coef_data <- data.frame(
PC = names(coef(logistic_model))[-1], # Remove intercept
Coefficient = coef(logistic_model)[-1],
P_Value = model_summary$coefficients[-1, "Pr(>|z|)"]
)
# Sort by absolute coefficient size
coef_data$Abs_Coefficient <- abs(coef_data$Coefficient)
coef_data <- coef_data[order(coef_data$Abs_Coefficient, decreasing = TRUE), ]
coef_data$Significant <- coef_data$P_Value < 0.05
# Print top PCs by model coefficient
cat("\nTop PCs by logistic regression coefficient:\n")
print(coef_data)
}, error = function(e) {
cat("Error in logistic regression:", e$message, "\n")
cat("Falling back to linear model instead\n")
# Use linear model instead
linear_model <- lm(paste("feedback_numeric ~", paste(pc_columns, collapse = " + ")),
data = results_df_allsessions)
# Get summary
model_summary <- summary(linear_model)
# Extract coefficients and p-values
coef_data <- data.frame(
PC = names(coef(linear_model))[-1], # Remove intercept
Coefficient = coef(linear_model)[-1],
P_Value = model_summary$coefficients[-1, "Pr(>|t|)"]
)
# Sort by absolute coefficient size
coef_data$Abs_Coefficient <- abs(coef_data$Coefficient)
coef_data <- coef_data[order(coef_data$Abs_Coefficient, decreasing = TRUE), ]
coef_data$Significant <- coef_data$P_Value < 0.05
# Print top PCs by model coefficient
cat("\nTop PCs by linear model coefficient:\n")
print(coef_data)
})
# 4. Visualize most important PCs (those with strongest correlation) against feedback
# Get top 4 PCs based on correlation
top_pcs <- pc_feedback_correlation$PC[1:min(4, nrow(pc_feedback_correlation))]
top_pc_cols <- paste0(top_pcs, "_score")
# Create scatter plots
for (pc_col in top_pc_cols) {
p <- ggplot(results_df_allsessions, aes_string(x = pc_col, y = "feedback_numeric", color = "factor(feedback_numeric)")) +
geom_jitter(width = 0, height = 0.05, alpha = 0.5) +
# Using method = "lm" for linear fit that works with any feedback values
geom_smooth(method = "lm", se = TRUE, color = "black") +
labs(title = paste(pc_col, "vs Feedback"),
subtitle = paste("Correlation:",
round(pc_feedback_correlation$Correlation[pc_feedback_correlation$PC == gsub("_score", "", pc_col)], 3),
", p-value:",
round(pc_feedback_correlation$P_Value[pc_feedback_correlation$PC == gsub("_score", "", pc_col)], 4)),
x = pc_col,
y = "Feedback") +
theme_minimal()
print(p)
}
# 5. Compare variance explained vs correlation with feedback
pc_variance <- data.frame(
PC = paste0("PC", 1:max_pcs),
Variance_Explained = NA
)
# Add variance explained (from your summary_table if available)
for (i in 1:max_pcs) {
pc_col <- paste0("PC", i, "_var")
if (exists("summary_table") && pc_col %in% colnames(summary_table)) {
pc_variance$Variance_Explained[i] <- mean(summary_table[[pc_col]], na.rm = TRUE)
}
}
# Merge variance and correlation data
pc_comparison <- merge(pc_variance, pc_feedback_correlation, by = "PC", all = TRUE)
# Only include rows with both variance and correlation data
pc_comparison <- pc_comparison[!is.na(pc_comparison$Variance_Explained) &
!is.na(pc_comparison$Correlation), ]
if (nrow(pc_comparison) > 0) {
# Plot variance explained vs correlation strength
ggplot(pc_comparison, aes(x = Variance_Explained, y = Abs_Correlation, color = Significant)) +
geom_point(size = 3) +
geom_text(aes(label = PC), vjust = -0.5, hjust = 0.5) +
scale_color_manual(values = c("FALSE" = "gray", "TRUE" = "blue")) +
labs(title = "PC Variance Explained vs Correlation with Feedback",
x = "Variance Explained (%)",
y = "Absolute Correlation with Feedback") +
theme_minimal()
} else {
cat("Not enough data to compare variance explained vs correlation\n")
}
# 6. Select the most behaviorally relevant PCs
# Combine results from correlation and regression
if (exists("coef_data")) {
# Get top 5 PCs from correlation
top_corr_pcs <- pc_feedback_correlation$PC[1:min(5, nrow(pc_feedback_correlation))]
# Get top 5 PCs from regression model
top_reg_pcs <- coef_data$PC[1:min(5, nrow(coef_data))]
# Find PCs that appear in both lists
common_pcs <- intersect(top_corr_pcs, top_reg_pcs)
cat("\nMost behaviorally relevant PCs based on both correlation and regression:\n")
print(common_pcs)
cat("\nTop 5 PCs by correlation strength:\n")
print(top_corr_pcs)
cat("\nTop 5 PCs by regression coefficient:\n")
print(top_reg_pcs)
}# Calculate correlation between each PC and feedback for all 114 PCs
pc_feedback_correlation <- data.frame(
PC = character(),
Correlation = numeric(),
P_Value = numeric()
)
# First, check if feedback is numeric and create feedback_numeric if needed
if (!exists("results_df_allsessions$feedback_numeric")) {
# Create feedback_numeric from feedback
if (is.factor(results_df_allsessions$feedback) || is.character(results_df_allsessions$feedback)) {
results_df_allsessions$feedback_numeric <- as.numeric(as.character(results_df_allsessions$feedback))
} else {
results_df_allsessions$feedback_numeric <- as.numeric(results_df_allsessions$feedback)
}
# Check if conversion was successful
if (any(is.na(results_df_allsessions$feedback_numeric)) && !any(is.na(results_df_allsessions$feedback))) {
# If NAs were introduced, there was a conversion problem
cat("Warning: Could not convert some feedback values to numeric\n")
}
}
# Print info about the feedback variable
cat("Feedback variable type:", class(results_df_allsessions$feedback), "\n")## Feedback variable type: factorcat("Feedback_numeric variable type:", class(results_df_allsessions$feedback_numeric), "\n")## Feedback_numeric variable type: numericcat("First few values:", head(results_df_allsessions$feedback_numeric), "\n")## First few values: 1 1 1 1 1 1# Set max_pcs to 114 to analyze all PCs
max_pcs <- 114
# Loop through all PCs
for (i in 1:max_pcs) {
pc_col <- paste0("PC", i, "_score")
# Skip if this PC column doesn't exist
if (!pc_col %in% colnames(results_df_allsessions)) next
# Calculate correlation
cor_test <- cor.test(results_df_allsessions[[pc_col]],
results_df_allsessions$feedback_numeric,
use = "pairwise.complete.obs")
# Add to results
pc_feedback_correlation <- rbind(pc_feedback_correlation, data.frame(
PC = paste0("PC", i),
Correlation = cor_test$estimate,
P_Value = cor_test$p.value
))
}
# Add significance indicator
pc_feedback_correlation$Significant <- pc_feedback_correlation$P_Value < 0.05
# Sort by absolute correlation strength
pc_feedback_correlation$Abs_Correlation <- abs(pc_feedback_correlation$Correlation)
pc_feedback_correlation <- pc_feedback_correlation[order(pc_feedback_correlation$Abs_Correlation, decreasing = TRUE), ]
# Print all rows with no row limit
print(head(pc_feedback_correlation, n = nrow(pc_feedback_correlation)))## PC Correlation P_Value Significant Abs_Correlation
## cor106 PC107 0.0707126347 4.850112e-23 TRUE 0.0707126347
## cor3 PC4 -0.0628300584 1.627448e-18 TRUE 0.0628300584
## cor111 PC112 0.0514858800 6.346886e-13 TRUE 0.0514858800
## cor6 PC7 0.0499925280 2.870519e-12 TRUE 0.0499925280
## cor PC1 -0.0426556375 2.554235e-09 TRUE 0.0426556375
## cor65 PC66 -0.0426334494 2.603154e-09 TRUE 0.0426334494
## cor39 PC40 0.0402619921 1.873049e-08 TRUE 0.0402619921
## cor103 PC104 -0.0391080156 4.707041e-08 TRUE 0.0391080156
## cor34 PC35 0.0386127678 6.936226e-08 TRUE 0.0386127678
## cor84 PC85 0.0379433574 1.162763e-07 TRUE 0.0379433574
## cor40 PC41 0.0373258888 1.858540e-07 TRUE 0.0373258888
## cor32 PC33 0.0372487963 1.969614e-07 TRUE 0.0372487963
## cor95 PC96 -0.0370465145 2.292422e-07 TRUE 0.0370465145
## cor36 PC37 -0.0363129022 3.949247e-07 TRUE 0.0363129022
## cor107 PC108 0.0356487338 6.405511e-07 TRUE 0.0356487338
## cor90 PC91 -0.0352515831 8.519579e-07 TRUE 0.0352515831
## cor75 PC76 -0.0346542402 1.301007e-06 TRUE 0.0346542402
## cor4 PC5 0.0332871801 3.342334e-06 TRUE 0.0332871801
## cor101 PC102 -0.0329188352 4.283936e-06 TRUE 0.0329188352
## cor15 PC16 0.0329066531 4.319057e-06 TRUE 0.0329066531
## cor105 PC106 -0.0327693862 4.734363e-06 TRUE 0.0327693862
## cor97 PC98 -0.0327592862 4.766387e-06 TRUE 0.0327592862
## cor2 PC3 0.0326803804 5.023810e-06 TRUE 0.0326803804
## cor27 PC28 0.0308354973 1.662119e-05 TRUE 0.0308354973
## cor60 PC61 -0.0291731410 4.625490e-05 TRUE 0.0291731410
## cor110 PC111 -0.0274771533 1.246156e-04 TRUE 0.0274771533
## cor54 PC55 -0.0268680564 1.755840e-04 TRUE 0.0268680564
## cor49 PC50 -0.0260556410 2.744470e-04 TRUE 0.0260556410
## cor37 PC38 -0.0254594591 3.779486e-04 TRUE 0.0254594591
## cor71 PC72 -0.0251507778 4.449071e-04 TRUE 0.0251507778
## cor77 PC78 -0.0248888682 5.102404e-04 TRUE 0.0248888682
## cor47 PC48 0.0247640257 5.444348e-04 TRUE 0.0247640257
## cor66 PC67 0.0244353803 6.449266e-04 TRUE 0.0244353803
## cor64 PC65 -0.0239599020 8.211388e-04 TRUE 0.0239599020
## cor48 PC49 0.0228185901 1.441734e-03 TRUE 0.0228185901
## cor21 PC22 0.0218614142 2.269591e-03 TRUE 0.0218614142
## cor99 PC100 0.0213787991 2.835067e-03 TRUE 0.0213787991
## cor29 PC30 0.0203185580 4.553867e-03 TRUE 0.0203185580
## cor63 PC64 -0.0194666014 6.567229e-03 TRUE 0.0194666014
## cor58 PC59 0.0194166781 6.706928e-03 TRUE 0.0194166781
## cor33 PC34 0.0193069874 7.023296e-03 TRUE 0.0193069874
## cor56 PC57 -0.0191954656 7.358620e-03 TRUE 0.0191954656
## cor57 PC58 -0.0185498728 9.597399e-03 TRUE 0.0185498728
## cor35 PC36 0.0184414115 1.002805e-02 TRUE 0.0184414115
## cor69 PC70 0.0179916172 1.200327e-02 TRUE 0.0179916172
## cor76 PC77 0.0176602157 1.367192e-02 TRUE 0.0176602157
## cor13 PC14 0.0166407264 2.015739e-02 TRUE 0.0166407264
## cor72 PC73 0.0164622889 2.153402e-02 TRUE 0.0164622889
## cor22 PC23 -0.0160306561 2.520703e-02 TRUE 0.0160306561
## cor43 PC44 0.0156674277 2.870644e-02 TRUE 0.0156674277
## cor7 PC8 0.0150139997 3.605983e-02 TRUE 0.0150139997
## cor100 PC101 0.0144740954 4.329398e-02 TRUE 0.0144740954
## cor112 PC113 -0.0143892886 4.453493e-02 TRUE 0.0143892886
## cor83 PC84 -0.0138113921 5.381440e-02 FALSE 0.0138113921
## cor59 PC60 -0.0137125813 5.555242e-02 FALSE 0.0137125813
## cor14 PC15 0.0136697784 5.631968e-02 FALSE 0.0136697784
## cor44 PC45 -0.0136099495 5.740691e-02 FALSE 0.0136099495
## cor78 PC79 0.0131397118 6.657386e-02 FALSE 0.0131397118
## cor11 PC12 -0.0130709388 6.801048e-02 FALSE 0.0130709388
## cor70 PC71 0.0130697122 6.803633e-02 FALSE 0.0130697122
## cor55 PC56 -0.0129835151 6.987341e-02 FALSE 0.0129835151
## cor25 PC26 -0.0128327169 7.318511e-02 FALSE 0.0128327169
## cor102 PC103 -0.0123288283 8.519326e-02 FALSE 0.0123288283
## cor28 PC29 0.0120146073 9.345580e-02 FALSE 0.0120146073
## cor30 PC31 -0.0117871418 9.982901e-02 FALSE 0.0117871418
## cor17 PC18 -0.0112715546 1.155582e-01 FALSE 0.0112715546
## cor61 PC62 0.0107824824 1.322194e-01 FALSE 0.0107824824
## cor92 PC93 0.0106747374 1.361287e-01 FALSE 0.0106747374
## cor45 PC46 0.0106589437 1.367091e-01 FALSE 0.0106589437
## cor12 PC13 0.0106518114 1.369719e-01 FALSE 0.0106518114
## cor94 PC95 0.0104038805 1.463500e-01 FALSE 0.0104038805
## cor68 PC69 0.0096822201 1.764440e-01 FALSE 0.0096822201
## cor38 PC39 0.0094887263 1.852476e-01 FALSE 0.0094887263
## cor50 PC51 0.0093903028 1.898485e-01 FALSE 0.0093903028
## cor86 PC87 -0.0088453557 2.168522e-01 FALSE 0.0088453557
## cor113 PC114 0.0087515050 2.217688e-01 FALSE 0.0087515050
## cor67 PC68 -0.0083837194 2.418046e-01 FALSE 0.0083837194
## cor24 PC25 -0.0077112537 2.816593e-01 FALSE 0.0077112537
## cor62 PC63 0.0068502987 3.388728e-01 FALSE 0.0068502987
## cor16 PC17 0.0068097737 3.417380e-01 FALSE 0.0068097737
## cor109 PC110 -0.0067244381 3.478218e-01 FALSE 0.0067244381
## cor104 PC105 -0.0064251423 3.696997e-01 FALSE 0.0064251423
## cor41 PC42 0.0063823615 3.728953e-01 FALSE 0.0063823615
## cor93 PC94 -0.0062487208 3.829876e-01 FALSE 0.0062487208
## cor88 PC89 -0.0061743147 3.886785e-01 FALSE 0.0061743147
## cor80 PC81 -0.0061505260 3.905087e-01 FALSE 0.0061505260
## cor96 PC97 0.0061040637 3.940985e-01 FALSE 0.0061040637
## cor79 PC80 -0.0059735926 4.042852e-01 FALSE 0.0059735926
## cor10 PC11 -0.0058308494 4.156087e-01 FALSE 0.0058308494
## cor42 PC43 0.0058027422 4.178603e-01 FALSE 0.0058027422
## cor73 PC74 0.0054392960 4.476155e-01 FALSE 0.0054392960
## cor108 PC109 0.0053793666 4.526350e-01 FALSE 0.0053793666
## cor52 PC53 -0.0053265029 4.570890e-01 FALSE 0.0053265029
## cor46 PC47 0.0049316630 4.911233e-01 FALSE 0.0049316630
## cor82 PC83 -0.0048416096 4.990720e-01 FALSE 0.0048416096
## cor85 PC86 0.0047742621 5.050610e-01 FALSE 0.0047742621
## cor26 PC27 0.0047298474 5.090312e-01 FALSE 0.0047298474
## cor5 PC6 0.0044402552 5.353132e-01 FALSE 0.0044402552
## cor20 PC21 -0.0044376066 5.355567e-01 FALSE 0.0044376066
## cor51 PC52 -0.0038660240 5.893728e-01 FALSE 0.0038660240
## cor8 PC9 -0.0038484585 5.910654e-01 FALSE 0.0038484585
## cor53 PC54 -0.0038354728 5.923181e-01 FALSE 0.0038354728
## cor18 PC19 0.0038238157 5.934437e-01 FALSE 0.0038238157
## cor19 PC20 0.0034366427 6.313711e-01 FALSE 0.0034366427
## cor98 PC99 0.0031004347 6.651173e-01 FALSE 0.0031004347
## cor23 PC24 0.0030468614 6.705602e-01 FALSE 0.0030468614
## cor81 PC82 0.0029266331 6.828377e-01 FALSE 0.0029266331
## cor1 PC2 -0.0028767470 6.879570e-01 FALSE 0.0028767470
## cor89 PC90 0.0023941362 7.381905e-01 FALSE 0.0023941362
## cor91 PC92 -0.0022653948 7.517926e-01 FALSE 0.0022653948
## cor31 PC32 0.0011359781 8.739870e-01 FALSE 0.0011359781
## cor9 PC10 -0.0009296276 8.967348e-01 FALSE 0.0009296276
## cor87 PC88 -0.0008519354 9.053226e-01 FALSE 0.0008519354
## cor74 PC75 -0.0001560067 9.826231e-01 FALSE 0.0001560067This table demonstrates that some PCs have no correlation with feedback, either positively or negatively. The column “Significant” was determined by comparing the P-value of a Pearson Correlation Test to a cutoff value of 0.05. If the p-value of the correlation test was above 0.05, then it was concluded to have no significant correlation with feedback score, and thus does not need to be in our prediction model.
I will now alter the dataframe I will be using for prediction to only have columns for PCs that have a signficant correlation with feedback, as I will only use these in my prediction model. There is no use to include PCs that have no ability to predict feedback score.
# Assuming pc_feedback_correlation has your correlation results
# Get the names of PCs that are significantly correlated with feedback
significant_pcs <- pc_feedback_correlation$PC[pc_feedback_correlation$Significant == TRUE]
# Convert PC names to column names in your dataframe (adding "_score" suffix)
significant_pc_cols <- paste0(significant_pcs, "_score")
# Get names of all columns that aren't PC score columns
non_pc_cols <- colnames(results_df_allsessions)[!grepl("PC\\d+_score", colnames(results_df_allsessions))]
# Create a vector of columns to keep (non-PC columns plus significant PC columns)
cols_to_keep <- c(non_pc_cols, significant_pc_cols)
# Subset the dataframe to keep only those columns
results_df_allsessions_significant <- results_df_allsessions[, cols_to_keep]
# Check the dimensions of the new dataframe
cat("Original dataframe dimensions:", dim(results_df_allsessions), "\n")## Original dataframe dimensions: 49173 126cat("New dataframe with only significant PCs:", dim(results_df_allsessions_significant), "\n")## New dataframe with only significant PCs: 49173 65cat("Number of significant PCs:", length(significant_pcs), "\n")## Number of significant PCs: 53# Preview the column names of the new dataframe
cat("\nFirst few columns of the new dataframe:\n")##
## First few columns of the new dataframe:print(head(colnames(results_df_allsessions_significant)))## [1] "session" "trial" "brain_area" "avg_spike_count"
## [5] "mousename" "feedback"results_df_allsessions_significant## session trial brain_area avg_spike_count mousename feedback rightcontrast
## 1 1 1 ACA 1.2660550 Cori 1 0.50
## 2 1 1 VISp 1.6853933 Cori 1 0.50
## 3 1 1 root 0.5000000 Cori 1 0.50
## 4 1 1 LS 1.9352518 Cori 1 0.50
## 5 1 1 MOs 0.9380531 Cori 1 0.50
## 6 1 1 CA3 1.5294118 Cori 1 0.50
## 7 1 1 DG 2.3235294 Cori 1 0.50
## 8 1 1 SUB 2.0800000 Cori 1 0.50
## 9 1 2 LS 1.3669065 Cori 1 0.00
## 10 1 2 DG 1.5588235 Cori 1 0.00
## 11 1 2 VISp 1.6516854 Cori 1 0.00
## 12 1 2 SUB 1.9466667 Cori 1 0.00
## 13 1 2 ACA 0.5871560 Cori 1 0.00
## 14 1 2 root 0.6666667 Cori 1 0.00
## 15 1 2 MOs 0.7787611 Cori 1 0.00
## 16 1 2 CA3 1.7058824 Cori 1 0.00
## 17 1 3 CA3 1.9852941 Cori -1 1.00
## 18 1 3 MOs 0.9203540 Cori -1 1.00
## 19 1 3 DG 3.4117647 Cori -1 1.00
## 20 1 3 ACA 1.1926606 Cori -1 1.00
## 21 1 3 SUB 2.6400000 Cori -1 1.00
## 22 1 3 root 1.4444444 Cori -1 1.00
## 23 1 3 VISp 2.2752809 Cori -1 1.00
## 24 1 3 LS 1.7266187 Cori -1 1.00
## 25 1 4 ACA 0.5137615 Cori -1 0.00
## 26 1 4 LS 1.0575540 Cori -1 0.00
## 27 1 4 SUB 2.8000000 Cori -1 0.00
## 28 1 4 root 1.0555556 Cori -1 0.00
## 29 1 4 MOs 0.7079646 Cori -1 0.00
## 30 1 4 VISp 1.5617978 Cori -1 0.00
## 31 1 4 DG 2.2058824 Cori -1 0.00
## 32 1 4 CA3 2.1911765 Cori -1 0.00
## 33 1 5 DG 2.0588235 Cori -1 0.00
## 34 1 5 CA3 1.8088235 Cori -1 0.00
## 35 1 5 SUB 2.6133333 Cori -1 0.00
## 36 1 5 root 0.7777778 Cori -1 0.00
## 37 1 5 ACA 0.7706422 Cori -1 0.00
## 38 1 5 VISp 1.6235955 Cori -1 0.00
## 39 1 5 LS 1.3021583 Cori -1 0.00
## 40 1 5 MOs 0.7876106 Cori -1 0.00
## 41 1 6 DG 1.0588235 Cori 1 0.00
## 42 1 6 VISp 1.2808989 Cori 1 0.00
## 43 1 6 ACA 0.4587156 Cori 1 0.00
## 44 1 6 MOs 0.7345133 Cori 1 0.00
## 45 1 6 LS 0.9064748 Cori 1 0.00
## 46 1 6 root 0.6111111 Cori 1 0.00
## 47 1 6 SUB 1.9066667 Cori 1 0.00
## 48 1 6 CA3 1.8529412 Cori 1 0.00
## 49 1 7 LS 1.8633094 Cori 1 0.50
## 50 1 7 ACA 1.2201835 Cori 1 0.50
## 51 1 7 root 2.2222222 Cori 1 0.50
## 52 1 7 MOs 0.9292035 Cori 1 0.50
## 53 1 7 DG 2.8823529 Cori 1 0.50
## 54 1 7 CA3 2.5294118 Cori 1 0.50
## 55 1 7 SUB 3.3200000 Cori 1 0.50
## 56 1 7 VISp 2.7359551 Cori 1 0.50
## 57 1 8 DG 2.0000000 Cori 1 0.00
## 58 1 8 SUB 2.8933333 Cori 1 0.00
## 59 1 8 CA3 1.9705882 Cori 1 0.00
## 60 1 8 VISp 2.2640449 Cori 1 0.00
## 61 1 8 LS 1.4748201 Cori 1 0.00
## 62 1 8 root 1.1666667 Cori 1 0.00
## 63 1 8 ACA 1.0550459 Cori 1 0.00
## 64 1 8 MOs 0.7787611 Cori 1 0.00
## 65 1 9 LS 1.3165468 Cori 1 0.00
## 66 1 9 CA3 2.2058824 Cori 1 0.00
## 67 1 9 root 0.9444444 Cori 1 0.00
## 68 1 9 ACA 0.7339450 Cori 1 0.00
## 69 1 9 MOs 0.6548673 Cori 1 0.00
## 70 1 9 SUB 2.9733333 Cori 1 0.00
## 71 1 9 VISp 1.7640449 Cori 1 0.00
## 72 1 9 DG 1.9705882 Cori 1 0.00
## 73 1 10 VISp 1.9325843 Cori 1 0.25
## 74 1 10 root 1.3888889 Cori 1 0.25
## 75 1 10 LS 1.8633094 Cori 1 0.25
## 76 1 10 SUB 2.0800000 Cori 1 0.25
## 77 1 10 MOs 1.0265487 Cori 1 0.25
## 78 1 10 CA3 2.1617647 Cori 1 0.25
## 79 1 10 DG 2.4117647 Cori 1 0.25
## 80 1 10 ACA 1.3027523 Cori 1 0.25
## 81 1 11 ACA 1.1467890 Cori 1 0.00
## 82 1 11 LS 1.5323741 Cori 1 0.00
## 83 1 11 MOs 0.9646018 Cori 1 0.00
## 84 1 11 root 1.0555556 Cori 1 0.00
## 85 1 11 CA3 1.6764706 Cori 1 0.00
## 86 1 11 DG 2.2352941 Cori 1 0.00
## 87 1 11 SUB 2.1333333 Cori 1 0.00
## 88 1 11 VISp 1.6179775 Cori 1 0.00
## 89 1 12 MOs 1.1327434 Cori 1 1.00
## 90 1 12 VISp 1.9382022 Cori 1 1.00
## 91 1 12 LS 2.2302158 Cori 1 1.00
## 92 1 12 SUB 2.2400000 Cori 1 1.00
## 93 1 12 CA3 2.3382353 Cori 1 1.00
## 94 1 12 root 1.0555556 Cori 1 1.00
## 95 1 12 ACA 1.5229358 Cori 1 1.00
## 96 1 12 DG 3.0294118 Cori 1 1.00
## 97 1 13 DG 3.1470588 Cori -1 1.00
## 98 1 13 LS 1.7913669 Cori -1 1.00
## 99 1 13 SUB 2.3600000 Cori -1 1.00
## 100 1 13 MOs 0.8672566 Cori -1 1.00
## 101 1 13 CA3 2.2352941 Cori -1 1.00
## 102 1 13 VISp 2.0112360 Cori -1 1.00
## 103 1 13 root 1.6111111 Cori -1 1.00
## 104 1 13 ACA 1.1467890 Cori -1 1.00
## 105 1 14 LS 1.4460432 Cori -1 0.00
## 106 1 14 DG 1.8823529 Cori -1 0.00
## 107 1 14 SUB 2.4666667 Cori -1 0.00
## 108 1 14 ACA 0.9082569 Cori -1 0.00
## 109 1 14 VISp 1.6460674 Cori -1 0.00
## 110 1 14 CA3 1.7352941 Cori -1 0.00
## 111 1 14 MOs 0.8230088 Cori -1 0.00
## 112 1 14 root 1.0000000 Cori -1 0.00
## 113 1 15 DG 2.4411765 Cori -1 0.00
## 114 1 15 VISp 2.0000000 Cori -1 0.00
## 115 1 15 SUB 3.3200000 Cori -1 0.00
## 116 1 15 ACA 0.6880734 Cori -1 0.00
## 117 1 15 CA3 2.1911765 Cori -1 0.00
## 118 1 15 MOs 1.0353982 Cori -1 0.00
## 119 1 15 root 0.7222222 Cori -1 0.00
## 120 1 15 LS 1.6043165 Cori -1 0.00
## 121 1 16 ACA 0.8532110 Cori -1 0.00
## 122 1 16 DG 2.4411765 Cori -1 0.00
## 123 1 16 root 0.3888889 Cori -1 0.00
## 124 1 16 VISp 1.6460674 Cori -1 0.00
## 125 1 16 LS 1.3884892 Cori -1 0.00
## 126 1 16 SUB 2.2400000 Cori -1 0.00
## 127 1 16 CA3 1.4264706 Cori -1 0.00
## 128 1 16 MOs 0.7522124 Cori -1 0.00
## 129 1 17 VISp 1.7247191 Cori 1 0.00
## 130 1 17 root 0.7777778 Cori 1 0.00
## 131 1 17 LS 1.0000000 Cori 1 0.00
## 132 1 17 DG 1.8529412 Cori 1 0.00
## 133 1 17 MOs 0.6637168 Cori 1 0.00
## 134 1 17 CA3 2.3823529 Cori 1 0.00
## 135 1 17 SUB 2.5866667 Cori 1 0.00
## 136 1 17 ACA 0.4311927 Cori 1 0.00
## 137 1 18 DG 3.1470588 Cori 1 0.50
## 138 1 18 ACA 1.7064220 Cori 1 0.50
## 139 1 18 CA3 2.2647059 Cori 1 0.50
## 140 1 18 VISp 2.2584270 Cori 1 0.50
## 141 1 18 root 1.7222222 Cori 1 0.50
## 142 1 18 LS 2.2302158 Cori 1 0.50
## 143 1 18 MOs 1.0530973 Cori 1 0.50
## 144 1 18 SUB 2.6533333 Cori 1 0.50
## 145 1 19 CA3 2.4705882 Cori 1 0.25
## 146 1 19 LS 1.6187050 Cori 1 0.25
## 147 1 19 root 1.6666667 Cori 1 0.25
## 148 1 19 ACA 1.2293578 Cori 1 0.25
## 149 1 19 MOs 0.9203540 Cori 1 0.25
## 150 1 19 DG 3.2941176 Cori 1 0.25
## 151 1 19 SUB 2.8933333 Cori 1 0.25
## 152 1 19 VISp 2.3595506 Cori 1 0.25
## 153 1 20 MOs 1.1327434 Cori 1 1.00
## 154 1 20 DG 2.7941176 Cori 1 1.00
## 155 1 20 LS 2.1654676 Cori 1 1.00
## 156 1 20 root 1.3333333 Cori 1 1.00
## 157 1 20 VISp 2.4831461 Cori 1 1.00
## 158 1 20 CA3 2.4117647 Cori 1 1.00
## 159 1 20 SUB 3.0533333 Cori 1 1.00
## 160 1 20 ACA 1.4862385 Cori 1 1.00
## 161 1 21 MOs 0.6017699 Cori 1 0.00
## 162 1 21 SUB 2.4400000 Cori 1 0.00
## 163 1 21 VISp 1.5674157 Cori 1 0.00
## 164 1 21 ACA 0.5504587 Cori 1 0.00
## 165 1 21 CA3 2.1176471 Cori 1 0.00
## 166 1 21 root 0.4444444 Cori 1 0.00
## 167 1 21 DG 0.8823529 Cori 1 0.00
## 168 1 21 LS 1.3381295 Cori 1 0.00
## 169 1 22 CA3 1.5000000 Cori -1 0.50
## 170 1 22 SUB 1.6133333 Cori -1 0.50
## 171 1 22 DG 1.9705882 Cori -1 0.50
## 172 1 22 LS 1.4388489 Cori -1 0.50
## 173 1 22 VISp 1.3314607 Cori -1 0.50
## 174 1 22 MOs 0.8230088 Cori -1 0.50
## 175 1 22 root 0.4444444 Cori -1 0.50
## 176 1 22 ACA 0.8623853 Cori -1 0.50
## 177 1 23 CA3 1.7647059 Cori -1 0.00
## 178 1 23 LS 1.4532374 Cori -1 0.00
## 179 1 23 SUB 2.1733333 Cori -1 0.00
## 180 1 23 root 0.6111111 Cori -1 0.00
## 181 1 23 ACA 0.8348624 Cori -1 0.00
## 182 1 23 MOs 0.7610619 Cori -1 0.00
## 183 1 23 VISp 1.4719101 Cori -1 0.00
## 184 1 23 DG 1.5882353 Cori -1 0.00
## 185 1 24 CA3 2.3823529 Cori 1 0.00
## 186 1 24 ACA 0.7247706 Cori 1 0.00
## 187 1 24 MOs 0.7787611 Cori 1 0.00
## 188 1 24 SUB 3.2666667 Cori 1 0.00
## 189 1 24 DG 2.2647059 Cori 1 0.00
## 190 1 24 LS 0.9568345 Cori 1 0.00
## 191 1 24 root 1.0555556 Cori 1 0.00
## 192 1 24 VISp 2.0730337 Cori 1 0.00
## 193 1 25 MOs 1.0530973 Cori 1 0.25
## 194 1 25 root 0.8888889 Cori 1 0.25
## 195 1 25 DG 2.6470588 Cori 1 0.25
## 196 1 25 SUB 2.4266667 Cori 1 0.25
## 197 1 25 CA3 1.7647059 Cori 1 0.25
## 198 1 25 ACA 1.2201835 Cori 1 0.25
## 199 1 25 LS 1.7697842 Cori 1 0.25
## 200 1 25 VISp 1.8258427 Cori 1 0.25
## 201 1 26 VISp 2.2528090 Cori 1 0.25
## 202 1 26 SUB 2.7200000 Cori 1 0.25
## 203 1 26 root 1.1111111 Cori 1 0.25
## 204 1 26 DG 2.9705882 Cori 1 0.25
## 205 1 26 ACA 1.4311927 Cori 1 0.25
## 206 1 26 MOs 1.1061947 Cori 1 0.25
## 207 1 26 CA3 2.3676471 Cori 1 0.25
## 208 1 26 LS 1.9496403 Cori 1 0.25
## 209 1 27 root 0.9444444 Cori 1 0.50
## 210 1 27 LS 1.9784173 Cori 1 0.50
## 211 1 27 CA3 2.1764706 Cori 1 0.50
## 212 1 27 MOs 0.9115044 Cori 1 0.50
## 213 1 27 VISp 2.4438202 Cori 1 0.50
## 214 1 27 ACA 1.3577982 Cori 1 0.50
## 215 1 27 DG 3.4411765 Cori 1 0.50
## 216 1 27 SUB 2.4400000 Cori 1 0.50
## 217 1 28 ACA 1.4220183 Cori -1 0.00
## 218 1 28 SUB 3.3333333 Cori -1 0.00
## 219 1 28 LS 1.9136691 Cori -1 0.00
## 220 1 28 CA3 3.3676471 Cori -1 0.00
## 221 1 28 DG 4.2941176 Cori -1 0.00
## 222 1 28 VISp 2.9382022 Cori -1 0.00
## 223 1 28 MOs 1.1415929 Cori -1 0.00
## 224 1 28 root 1.0555556 Cori -1 0.00
## 225 1 29 SUB 2.0400000 Cori 1 0.00
## 226 1 29 VISp 1.2528090 Cori 1 0.00
## 227 1 29 MOs 0.7345133 Cori 1 0.00
## 228 1 29 CA3 1.8970588 Cori 1 0.00
## 229 1 29 LS 0.9424460 Cori 1 0.00
## 230 1 29 root 0.3333333 Cori 1 0.00
## 231 1 29 DG 0.8529412 Cori 1 0.00
## 232 1 29 ACA 0.4678899 Cori 1 0.00
## 233 1 30 MOs 0.9026549 Cori 1 0.50
## 234 1 30 LS 1.8417266 Cori 1 0.50
## 235 1 30 root 1.5555556 Cori 1 0.50
## 236 1 30 DG 3.6764706 Cori 1 0.50
## 237 1 30 SUB 2.6933333 Cori 1 0.50
## 238 1 30 VISp 2.2134831 Cori 1 0.50
## 239 1 30 ACA 1.4128440 Cori 1 0.50
## 240 1 30 CA3 1.9558824 Cori 1 0.50
## 241 1 31 LS 1.5395683 Cori 1 0.00
## 242 1 31 CA3 2.1911765 Cori 1 0.00
## 243 1 31 ACA 1.1651376 Cori 1 0.00
## 244 1 31 MOs 1.0353982 Cori 1 0.00
## 245 1 31 root 1.3333333 Cori 1 0.00
## 246 1 31 SUB 2.3733333 Cori 1 0.00
## 247 1 31 DG 2.5000000 Cori 1 0.00
## 248 1 31 VISp 2.0112360 Cori 1 0.00
## 249 1 32 root 0.4444444 Cori -1 0.00
## 250 1 32 ACA 0.6055046 Cori -1 0.00
## 251 1 32 MOs 0.7610619 Cori -1 0.00
## 252 1 32 VISp 1.6797753 Cori -1 0.00
## 253 1 32 LS 1.1294964 Cori -1 0.00
## 254 1 32 DG 1.2647059 Cori -1 0.00
## 255 1 32 SUB 2.4666667 Cori -1 0.00
## 256 1 32 CA3 2.0147059 Cori -1 0.00
## 257 1 33 DG 1.2941176 Cori 1 0.00
## 258 1 33 MOs 0.7168142 Cori 1 0.00
## 259 1 33 root 0.5555556 Cori 1 0.00
## 260 1 33 VISp 1.3314607 Cori 1 0.00
## 261 1 33 CA3 2.1617647 Cori 1 0.00
## 262 1 33 ACA 0.6880734 Cori 1 0.00
## 263 1 33 LS 1.1942446 Cori 1 0.00
## 264 1 33 SUB 2.2266667 Cori 1 0.00
## 265 1 34 MOs 1.0176991 Cori 1 0.50
## 266 1 34 VISp 2.1123596 Cori 1 0.50
## 267 1 34 LS 1.7985612 Cori 1 0.50
## 268 1 34 CA3 2.2205882 Cori 1 0.50
## 269 1 34 root 0.6111111 Cori 1 0.50
## 270 1 34 DG 2.1176471 Cori 1 0.50
## 271 1 34 SUB 2.2266667 Cori 1 0.50
## 272 1 34 ACA 1.2110092 Cori 1 0.50
## 273 1 35 root 1.3333333 Cori 1 0.25
## 274 1 35 MOs 1.0619469 Cori 1 0.25
## 275 1 35 VISp 2.1348315 Cori 1 0.25
## 276 1 35 DG 2.7941176 Cori 1 0.25
## 277 1 35 SUB 2.7733333 Cori 1 0.25
## 278 1 35 CA3 2.3676471 Cori 1 0.25
## 279 1 35 ACA 1.2752294 Cori 1 0.25
## 280 1 35 LS 1.7553957 Cori 1 0.25
## 281 1 36 ACA 1.3761468 Cori 1 1.00
## 282 1 36 VISp 2.0280899 Cori 1 1.00
## 283 1 36 CA3 2.4705882 Cori 1 1.00
## 284 1 36 LS 1.7769784 Cori 1 1.00
## 285 1 36 SUB 2.5200000 Cori 1 1.00
## 286 1 36 MOs 1.0619469 Cori 1 1.00
## 287 1 36 DG 2.8529412 Cori 1 1.00
## 288 1 36 root 1.6111111 Cori 1 1.00
## 289 1 37 DG 2.2058824 Cori 1 0.50
## 290 1 37 CA3 1.7647059 Cori 1 0.50
## 291 1 37 root 0.8888889 Cori 1 0.50
## 292 1 37 VISp 1.6235955 Cori 1 0.50
## 293 1 37 SUB 2.4000000 Cori 1 0.50
## 294 1 37 ACA 1.1651376 Cori 1 0.50
## 295 1 37 LS 1.5899281 Cori 1 0.50
## 296 1 37 MOs 0.9557522 Cori 1 0.50
## 297 1 38 DG 2.3235294 Cori 1 1.00
## 298 1 38 CA3 1.9558824 Cori 1 1.00
## 299 1 38 VISp 1.5337079 Cori 1 1.00
## 300 1 38 root 1.3333333 Cori 1 1.00
## 301 1 38 LS 1.5251799 Cori 1 1.00
## 302 1 38 SUB 2.3066667 Cori 1 1.00
## 303 1 38 ACA 1.0275229 Cori 1 1.00
## 304 1 38 MOs 0.9203540 Cori 1 1.00
## 305 1 39 VISp 1.3707865 Cori 1 0.00
## 306 1 39 ACA 0.4495413 Cori 1 0.00
## 307 1 39 DG 1.0000000 Cori 1 0.00
## 308 1 39 SUB 2.1466667 Cori 1 0.00
## 309 1 39 LS 0.8201439 Cori 1 0.00
## 310 1 39 root 0.5555556 Cori 1 0.00
## 311 1 39 CA3 2.1911765 Cori 1 0.00
## 312 1 39 MOs 0.5840708 Cori 1 0.00
## 313 1 40 VISp 2.0056180 Cori 1 0.00
## 314 1 40 LS 1.6834532 Cori 1 0.00
## 315 1 40 SUB 2.5066667 Cori 1 0.00
## 316 1 40 root 1.3888889 Cori 1 0.00
## 317 1 40 CA3 2.5294118 Cori 1 0.00
## 318 1 40 ACA 1.3211009 Cori 1 0.00
## 319 1 40 DG 2.9117647 Cori 1 0.00
## 320 1 40 MOs 1.0707965 Cori 1 0.00
## 321 1 41 DG 2.3235294 Cori 1 0.50
## 322 1 41 MOs 0.9911504 Cori 1 0.50
## 323 1 41 VISp 2.0280899 Cori 1 0.50
## 324 1 41 SUB 2.6800000 Cori 1 0.50
## 325 1 41 root 1.2222222 Cori 1 0.50
## 326 1 41 CA3 2.1323529 Cori 1 0.50
## 327 1 41 LS 1.7553957 Cori 1 0.50
## 328 1 41 ACA 1.1651376 Cori 1 0.50
## 329 1 42 CA3 1.7205882 Cori -1 0.50
## 330 1 42 SUB 2.3066667 Cori -1 0.50
## 331 1 42 root 0.6666667 Cori -1 0.50
## 332 1 42 ACA 0.7798165 Cori -1 0.50
## 333 1 42 DG 1.3823529 Cori -1 0.50
## 334 1 42 LS 1.4820144 Cori -1 0.50
## 335 1 42 MOs 0.8318584 Cori -1 0.50
## 336 1 42 VISp 1.3651685 Cori -1 0.50
## 337 1 43 LS 1.8776978 Cori 1 0.00
## 338 1 43 DG 3.3235294 Cori 1 0.00
## 339 1 43 ACA 1.1743119 Cori 1 0.00
## 340 1 43 root 1.1666667 Cori 1 0.00
## 341 1 43 SUB 2.1866667 Cori 1 0.00
## 342 1 43 MOs 1.2035398 Cori 1 0.00
## 343 1 43 VISp 2.0393258 Cori 1 0.00
## 344 1 43 CA3 2.0294118 Cori 1 0.00
## 345 1 44 root 1.5000000 Cori 1 0.25
## 346 1 44 DG 3.0000000 Cori 1 0.25
## 347 1 44 LS 1.6762590 Cori 1 0.25
## 348 1 44 SUB 3.0000000 Cori 1 0.25
## 349 1 44 VISp 2.2191011 Cori 1 0.25
## 350 1 44 MOs 0.9115044 Cori 1 0.25
## 351 1 44 ACA 1.0733945 Cori 1 0.25
## 352 1 44 CA3 2.3970588 Cori 1 0.25
## 353 1 45 SUB 2.1200000 Cori 1 1.00
## 354 1 45 root 0.9444444 Cori 1 1.00
## 355 1 45 DG 2.8235294 Cori 1 1.00
## 356 1 45 CA3 2.1617647 Cori 1 1.00
## 357 1 45 MOs 0.9115044 Cori 1 1.00
## 358 1 45 VISp 1.8820225 Cori 1 1.00
## 359 1 45 LS 1.7769784 Cori 1 1.00
## 360 1 45 ACA 1.1100917 Cori 1 1.00
## 361 1 46 ACA 1.3302752 Cori 1 0.00
## 362 1 46 LS 1.8345324 Cori 1 0.00
## 363 1 46 root 2.1111111 Cori 1 0.00
## 364 1 46 SUB 2.6933333 Cori 1 0.00
## 365 1 46 CA3 2.7647059 Cori 1 0.00
## 366 1 46 DG 4.0588235 Cori 1 0.00
## 367 1 46 VISp 2.2752809 Cori 1 0.00
## 368 1 46 MOs 1.1858407 Cori 1 0.00
## 369 1 47 VISp 1.8314607 Cori -1 1.00
## 370 1 47 MOs 1.1238938 Cori -1 1.00
## 371 1 47 DG 2.2941176 Cori -1 1.00
## 372 1 47 root 1.0555556 Cori -1 1.00
## 373 1 47 ACA 1.3211009 Cori -1 1.00
## 374 1 47 CA3 2.1911765 Cori -1 1.00
## 375 1 47 LS 1.6690647 Cori -1 1.00
## 376 1 47 SUB 2.4133333 Cori -1 1.00
## 377 1 48 ACA 0.4862385 Cori 1 0.00
## 378 1 48 CA3 2.1911765 Cori 1 0.00
## 379 1 48 MOs 0.6017699 Cori 1 0.00
## 380 1 48 root 0.3333333 Cori 1 0.00
## 381 1 48 DG 1.5294118 Cori 1 0.00
## 382 1 48 VISp 1.4325843 Cori 1 0.00
## 383 1 48 LS 0.7913669 Cori 1 0.00
## 384 1 48 SUB 2.3733333 Cori 1 0.00
## 385 1 49 SUB 2.1066667 Cori -1 1.00
## 386 1 49 root 0.5555556 Cori -1 1.00
## 387 1 49 MOs 0.7433628 Cori -1 1.00
## 388 1 49 ACA 0.8256881 Cori -1 1.00
## 389 1 49 DG 1.6176471 Cori -1 1.00
## 390 1 49 VISp 1.5056180 Cori -1 1.00
## 391 1 49 LS 1.2589928 Cori -1 1.00
## 392 1 49 CA3 1.8823529 Cori -1 1.00
## 393 1 50 DG 1.9411765 Cori 1 1.00
## 394 1 50 ACA 0.9816514 Cori 1 1.00
## 395 1 50 CA3 1.8970588 Cori 1 1.00
## 396 1 50 root 0.7222222 Cori 1 1.00
## 397 1 50 MOs 0.7168142 Cori 1 1.00
## 398 1 50 SUB 1.5200000 Cori 1 1.00
## 399 1 50 VISp 1.2640449 Cori 1 1.00
## 400 1 50 LS 1.6187050 Cori 1 1.00
## 401 1 51 LS 1.5611511 Cori 1 0.00
## 402 1 51 VISp 2.0056180 Cori 1 0.00
## 403 1 51 ACA 1.3853211 Cori 1 0.00
## 404 1 51 DG 3.8529412 Cori 1 0.00
## 405 1 51 CA3 2.4411765 Cori 1 0.00
## 406 1 51 root 1.3888889 Cori 1 0.00
## 407 1 51 MOs 1.1504425 Cori 1 0.00
## 408 1 51 SUB 2.7466667 Cori 1 0.00
## 409 1 52 CA3 2.6470588 Cori 1 0.00
## 410 1 52 DG 2.7647059 Cori 1 0.00
## 411 1 52 MOs 1.0000000 Cori 1 0.00
## 412 1 52 ACA 1.3577982 Cori 1 0.00
## 413 1 52 LS 1.6402878 Cori 1 0.00
## 414 1 52 root 1.3333333 Cori 1 0.00
## 415 1 52 SUB 2.8933333 Cori 1 0.00
## 416 1 52 VISp 2.0505618 Cori 1 0.00
## 417 1 53 MOs 0.7610619 Cori -1 0.50
## 418 1 53 VISp 1.7696629 Cori -1 0.50
## 419 1 53 DG 1.4117647 Cori -1 0.50
## 420 1 53 CA3 1.9117647 Cori -1 0.50
## 421 1 53 ACA 0.8807339 Cori -1 0.50
## 422 1 53 LS 1.3884892 Cori -1 0.50
## 423 1 53 SUB 2.2666667 Cori -1 0.50
## 424 1 53 root 0.4444444 Cori -1 0.50
## 425 1 54 LS 1.6546763 Cori -1 0.00
## 426 1 54 MOs 1.0707965 Cori -1 0.00
## 427 1 54 ACA 1.1559633 Cori -1 0.00
## 428 1 54 VISp 1.7415730 Cori -1 0.00
## 429 1 54 CA3 1.4852941 Cori -1 0.00
## 430 1 54 root 1.1111111 Cori -1 0.00
## 431 1 54 SUB 2.5733333 Cori -1 0.00
## 432 1 54 DG 2.9705882 Cori -1 0.00
## 433 1 55 SUB 2.0000000 Cori 1 0.50
## 434 1 55 root 1.0000000 Cori 1 0.50
## 435 1 55 LS 1.6762590 Cori 1 0.50
## 436 1 55 VISp 1.5842697 Cori 1 0.50
## 437 1 55 CA3 1.5000000 Cori 1 0.50
## 438 1 55 MOs 1.0088496 Cori 1 0.50
## 439 1 55 DG 2.1176471 Cori 1 0.50
## 440 1 55 ACA 1.0733945 Cori 1 0.50
## 441 1 56 DG 4.0000000 Cori 1 1.00
## 442 1 56 CA3 2.5000000 Cori 1 1.00
## 443 1 56 ACA 1.5963303 Cori 1 1.00
## 444 1 56 SUB 2.6266667 Cori 1 1.00
## 445 1 56 LS 2.0431655 Cori 1 1.00
## 446 1 56 MOs 1.0176991 Cori 1 1.00
## 447 1 56 VISp 2.2977528 Cori 1 1.00
## 448 1 56 root 1.3333333 Cori 1 1.00
## 449 1 57 root 0.4444444 Cori -1 1.00
## 450 1 57 LS 1.4676259 Cori -1 1.00
## 451 1 57 VISp 1.5224719 Cori -1 1.00
## 452 1 57 MOs 0.8230088 Cori -1 1.00
## 453 1 57 SUB 2.2533333 Cori -1 1.00
## 454 1 57 DG 1.8235294 Cori -1 1.00
## 455 1 57 ACA 0.8165138 Cori -1 1.00
## 456 1 57 CA3 1.8235294 Cori -1 1.00
## 457 1 58 ACA 0.6788991 Cori -1 1.00
## 458 1 58 DG 2.0588235 Cori -1 1.00
## 459 1 58 SUB 1.9733333 Cori -1 1.00
## 460 1 58 root 0.4444444 Cori -1 1.00
## 461 1 58 CA3 1.6911765 Cori -1 1.00
## 462 1 58 MOs 0.7522124 Cori -1 1.00
## 463 1 58 VISp 1.3820225 Cori -1 1.00
## 464 1 58 LS 1.1654676 Cori -1 1.00
## 465 1 59 ACA 0.8348624 Cori -1 1.00
## 466 1 59 DG 1.5294118 Cori -1 1.00
## 467 1 59 MOs 0.9292035 Cori -1 1.00
## 468 1 59 LS 1.3741007 Cori -1 1.00
## 469 1 59 CA3 1.4411765 Cori -1 1.00
## 470 1 59 root 0.3888889 Cori -1 1.00
## 471 1 59 SUB 2.0533333 Cori -1 1.00
## 472 1 59 VISp 1.2640449 Cori -1 1.00
## 473 1 60 LS 2.1942446 Cori 1 1.00
## 474 1 60 MOs 1.0442478 Cori 1 1.00
## 475 1 60 CA3 2.2205882 Cori 1 1.00
## 476 1 60 SUB 2.5466667 Cori 1 1.00
## 477 1 60 DG 3.5588235 Cori 1 1.00
## 478 1 60 VISp 2.1910112 Cori 1 1.00
## 479 1 60 root 1.7222222 Cori 1 1.00
## 480 1 60 ACA 1.5871560 Cori 1 1.00
## 481 1 61 CA3 2.1764706 Cori 1 1.00
## 482 1 61 SUB 3.4533333 Cori 1 1.00
## 483 1 61 VISp 2.1516854 Cori 1 1.00
## 484 1 61 ACA 1.5412844 Cori 1 1.00
## 485 1 61 DG 2.7352941 Cori 1 1.00
## 486 1 61 LS 1.9784173 Cori 1 1.00
## 487 1 61 root 1.2777778 Cori 1 1.00
## 488 1 61 MOs 1.0000000 Cori 1 1.00
## 489 1 62 LS 1.2517986 Cori 1 1.00
## 490 1 62 ACA 0.8165138 Cori 1 1.00
## 491 1 62 SUB 2.5866667 Cori 1 1.00
## 492 1 62 root 0.6666667 Cori 1 1.00
## 493 1 62 VISp 1.7584270 Cori 1 1.00
## 494 1 62 DG 2.4411765 Cori 1 1.00
## 495 1 62 CA3 2.0294118 Cori 1 1.00
## 496 1 62 MOs 0.9203540 Cori 1 1.00
## 497 1 63 ACA 1.0733945 Cori -1 0.25
## 498 1 63 root 0.7777778 Cori -1 0.25
## 499 1 63 DG 1.4705882 Cori -1 0.25
## 500 1 63 VISp 1.3539326 Cori -1 0.25
## 501 1 63 MOs 0.8407080 Cori -1 0.25
## 502 1 63 CA3 1.5588235 Cori -1 0.25
## 503 1 63 SUB 2.0800000 Cori -1 0.25
## 504 1 63 LS 1.3812950 Cori -1 0.25
## 505 1 64 root 0.5555556 Cori -1 1.00
## 506 1 64 LS 1.0431655 Cori -1 1.00
## 507 1 64 VISp 1.7921348 Cori -1 1.00
## 508 1 64 ACA 0.8899083 Cori -1 1.00
## 509 1 64 CA3 2.1617647 Cori -1 1.00
## 510 1 64 SUB 3.4000000 Cori -1 1.00
## 511 1 64 DG 1.8823529 Cori -1 1.00
## 512 1 64 MOs 0.8318584 Cori -1 1.00
## 513 1 65 CA3 2.6911765 Cori -1 1.00
## 514 1 65 SUB 2.3866667 Cori -1 1.00
## 515 1 65 root 0.4444444 Cori -1 1.00
## 516 1 65 ACA 0.6880734 Cori -1 1.00
## 517 1 65 VISp 1.6348315 Cori -1 1.00
## 518 1 65 MOs 0.8584071 Cori -1 1.00
## 519 1 65 DG 1.9411765 Cori -1 1.00
## 520 1 65 LS 1.1582734 Cori -1 1.00
## 521 1 66 MOs 0.9469027 Cori -1 1.00
## 522 1 66 VISp 1.4438202 Cori -1 1.00
## 523 1 66 ACA 0.8165138 Cori -1 1.00
## 524 1 66 DG 1.9705882 Cori -1 1.00
## 525 1 66 SUB 2.1600000 Cori -1 1.00
## 526 1 66 root 0.5555556 Cori -1 1.00
## 527 1 66 CA3 2.2941176 Cori -1 1.00
## 528 1 66 LS 1.3884892 Cori -1 1.00
## 529 1 67 root 0.9444444 Cori 1 1.00
## 530 1 67 SUB 2.9600000 Cori 1 1.00
## 531 1 67 MOs 1.0884956 Cori 1 1.00
## 532 1 67 VISp 1.8370787 Cori 1 1.00
## 533 1 67 LS 1.8417266 Cori 1 1.00
## 534 1 67 DG 2.9411765 Cori 1 1.00
## 535 1 67 CA3 2.1029412 Cori 1 1.00
## 536 1 67 ACA 1.3669725 Cori 1 1.00
## 537 1 68 CA3 1.6764706 Cori 1 0.00
## 538 1 68 LS 1.4316547 Cori 1 0.00
## 539 1 68 MOs 0.7433628 Cori 1 0.00
## 540 1 68 VISp 1.4044944 Cori 1 0.00
## 541 1 68 DG 1.8235294 Cori 1 0.00
## 542 1 68 root 0.4444444 Cori 1 0.00
## 543 1 68 ACA 0.7064220 Cori 1 0.00
## 544 1 68 SUB 2.3600000 Cori 1 0.00
## 545 1 69 LS 1.4892086 Cori 1 0.00
## 546 1 69 root 0.7222222 Cori 1 0.00
## 547 1 69 VISp 1.5674157 Cori 1 0.00
## 548 1 69 MOs 0.8407080 Cori 1 0.00
## 549 1 69 ACA 1.2477064 Cori 1 0.00
## 550 1 69 DG 2.0000000 Cori 1 0.00
## 551 1 69 CA3 1.7941176 Cori 1 0.00
## 552 1 69 SUB 1.8800000 Cori 1 0.00
## 553 1 70 CA3 2.7205882 Cori 1 0.00
## 554 1 70 VISp 1.8033708 Cori 1 0.00
## 555 1 70 LS 0.9784173 Cori 1 0.00
## 556 1 70 ACA 0.4678899 Cori 1 0.00
## 557 1 70 DG 1.8235294 Cori 1 0.00
## 558 1 70 MOs 0.7256637 Cori 1 0.00
## 559 1 70 root 0.6111111 Cori 1 0.00
## 560 1 70 SUB 3.0933333 Cori 1 0.00
## 561 1 71 SUB 2.3200000 Cori 1 1.00
## 562 1 71 root 0.9444444 Cori 1 1.00
## 563 1 71 MOs 0.8141593 Cori 1 1.00
## 564 1 71 ACA 0.8440367 Cori 1 1.00
## 565 1 71 DG 1.6764706 Cori 1 1.00
## 566 1 71 VISp 1.6123596 Cori 1 1.00
## 567 1 71 LS 1.3093525 Cori 1 1.00
## 568 1 71 CA3 2.2941176 Cori 1 1.00
## 569 1 72 CA3 2.0294118 Cori 1 0.00
## 570 1 72 VISp 1.1404494 Cori 1 0.00
## 571 1 72 SUB 2.1733333 Cori 1 0.00
## 572 1 72 MOs 0.6017699 Cori 1 0.00
## 573 1 72 root 0.6111111 Cori 1 0.00
## 574 1 72 LS 1.0863309 Cori 1 0.00
## 575 1 72 DG 2.0294118 Cori 1 0.00
## 576 1 72 ACA 0.5963303 Cori 1 0.00
## 577 1 73 DG 1.8235294 Cori 1 0.25
## 578 1 73 LS 1.6618705 Cori 1 0.25
## 579 1 73 MOs 1.0088496 Cori 1 0.25
## 580 1 73 VISp 1.4494382 Cori 1 0.25
## 581 1 73 ACA 1.1192661 Cori 1 0.25
## 582 1 73 root 0.6111111 Cori 1 0.25
## 583 1 73 SUB 2.6400000 Cori 1 0.25
## 584 1 73 CA3 1.8529412 Cori 1 0.25
## 585 1 74 MOs 0.8938053 Cori 1 0.00
## 586 1 74 CA3 2.6617647 Cori 1 0.00
## 587 1 74 VISp 1.6011236 Cori 1 0.00
## 588 1 74 DG 1.6764706 Cori 1 0.00
## 589 1 74 root 0.8888889 Cori 1 0.00
## 590 1 74 ACA 0.6697248 Cori 1 0.00
## 591 1 74 SUB 3.5600000 Cori 1 0.00
## 592 1 74 LS 0.9352518 Cori 1 0.00
## 593 1 75 CA3 2.2205882 Cori 1 0.50
## 594 1 75 MOs 0.8141593 Cori 1 0.50
## 595 1 75 LS 1.2877698 Cori 1 0.50
## 596 1 75 SUB 2.2533333 Cori 1 0.50
## 597 1 75 VISp 1.5955056 Cori 1 0.50
## 598 1 75 DG 2.6470588 Cori 1 0.50
## 599 1 75 root 1.0555556 Cori 1 0.50
## 600 1 75 ACA 0.7614679 Cori 1 0.50
## 601 1 76 LS 1.5395683 Cori 1 1.00
## 602 1 76 root 0.6666667 Cori 1 1.00
## 603 1 76 DG 1.9411765 Cori 1 1.00
## 604 1 76 CA3 1.6764706 Cori 1 1.00
## 605 1 76 MOs 0.9734513 Cori 1 1.00
## 606 1 76 VISp 1.6179775 Cori 1 1.00
## 607 1 76 ACA 1.1376147 Cori 1 1.00
## 608 1 76 SUB 1.9733333 Cori 1 1.00
## 609 1 77 SUB 1.9333333 Cori -1 0.50
## 610 1 77 DG 2.2647059 Cori -1 0.50
## 611 1 77 VISp 1.2865169 Cori -1 0.50
## 612 1 77 root 0.5555556 Cori -1 0.50
## 613 1 77 CA3 2.2352941 Cori -1 0.50
## 614 1 77 ACA 0.7339450 Cori -1 0.50
## 615 1 77 MOs 0.6991150 Cori -1 0.50
## 616 1 77 LS 0.9712230 Cori -1 0.50
## 617 1 78 SUB 2.3200000 Cori 1 0.50
## 618 1 78 VISp 1.5337079 Cori 1 0.50
## 619 1 78 CA3 2.5441176 Cori 1 0.50
## 620 1 78 MOs 0.7433628 Cori 1 0.50
## 621 1 78 LS 1.2949640 Cori 1 0.50
## 622 1 78 ACA 0.5688073 Cori 1 0.50
## 623 1 78 root 0.6666667 Cori 1 0.50
## 624 1 78 DG 1.1470588 Cori 1 0.50
## 625 1 79 LS 1.8561151 Cori 1 0.25
## 626 1 79 DG 2.8235294 Cori 1 0.25
## 627 1 79 VISp 1.8651685 Cori 1 0.25
## 628 1 79 root 1.3333333 Cori 1 0.25
## 629 1 79 ACA 1.2844037 Cori 1 0.25
## 630 1 79 SUB 2.1466667 Cori 1 0.25
## 631 1 79 CA3 1.9117647 Cori 1 0.25
## 632 1 79 MOs 0.9911504 Cori 1 0.25
## 633 1 80 root 0.7777778 Cori -1 0.50
## 634 1 80 SUB 1.8400000 Cori -1 0.50
## 635 1 80 MOs 0.7079646 Cori -1 0.50
## 636 1 80 DG 1.1176471 Cori -1 0.50
## 637 1 80 CA3 1.8823529 Cori -1 0.50
## 638 1 80 LS 1.0071942 Cori -1 0.50
## 639 1 80 VISp 1.0898876 Cori -1 0.50
## 640 1 80 ACA 0.7981651 Cori -1 0.50
## 641 1 81 MOs 0.8407080 Cori 1 0.00
## 642 1 81 CA3 2.7500000 Cori 1 0.00
## 643 1 81 LS 0.8489209 Cori 1 0.00
## 644 1 81 SUB 3.3200000 Cori 1 0.00
## 645 1 81 DG 3.2058824 Cori 1 0.00
## 646 1 81 root 1.0000000 Cori 1 0.00
## 647 1 81 VISp 1.7865169 Cori 1 0.00
## 648 1 81 ACA 0.5504587 Cori 1 0.00
## 649 1 82 CA3 1.6029412 Cori 1 0.50
## 650 1 82 VISp 1.3820225 Cori 1 0.50
## 651 1 82 root 1.5000000 Cori 1 0.50
## 652 1 82 SUB 1.9600000 Cori 1 0.50
## 653 1 82 MOs 0.9380531 Cori 1 0.50
## 654 1 82 LS 1.4532374 Cori 1 0.50
## 655 1 82 ACA 0.8440367 Cori 1 0.50
## 656 1 82 DG 1.4411765 Cori 1 0.50
## 657 1 83 SUB 2.7200000 Cori 1 0.00
## 658 1 83 ACA 1.3577982 Cori 1 0.00
## 659 1 83 CA3 2.5882353 Cori 1 0.00
## 660 1 83 VISp 1.7865169 Cori 1 0.00
## 661 1 83 MOs 1.1327434 Cori 1 0.00
## 662 1 83 DG 2.6176471 Cori 1 0.00
## 663 1 83 root 1.5555556 Cori 1 0.00
## 664 1 83 LS 1.7482014 Cori 1 0.00
## 665 1 84 MOs 1.1238938 Cori 1 0.00
## 666 1 84 root 1.3333333 Cori 1 0.00
## 667 1 84 CA3 2.5588235 Cori 1 0.00
## 668 1 84 ACA 1.6330275 Cori 1 0.00
## 669 1 84 DG 2.7941176 Cori 1 0.00
## 670 1 84 VISp 2.0168539 Cori 1 0.00
## 671 1 84 LS 2.1007194 Cori 1 0.00
## 672 1 84 SUB 2.3733333 Cori 1 0.00
## 673 1 85 DG 1.8235294 Cori -1 0.50
## 674 1 85 SUB 2.0266667 Cori -1 0.50
## 675 1 85 root 0.5000000 Cori -1 0.50
## 676 1 85 MOs 0.7610619 Cori -1 0.50
## 677 1 85 CA3 1.6323529 Cori -1 0.50
## 678 1 85 ACA 0.8715596 Cori -1 0.50
## 679 1 85 VISp 1.2528090 Cori -1 0.50
## 680 1 85 LS 1.4892086 Cori -1 0.50
## 681 1 86 LS 1.8489209 Cori 1 0.00
## 682 1 86 MOs 1.0796460 Cori 1 0.00
## 683 1 86 root 1.4444444 Cori 1 0.00
## 684 1 86 VISp 1.9550562 Cori 1 0.00
## 685 1 86 DG 2.8235294 Cori 1 0.00
## 686 1 86 ACA 1.3761468 Cori 1 0.00
## 687 1 86 CA3 2.0147059 Cori 1 0.00
## 688 1 86 SUB 2.6933333 Cori 1 0.00
## 689 1 87 VISp 1.5449438 Cori -1 1.00
## 690 1 87 MOs 0.6017699 Cori -1 1.00
## 691 1 87 ACA 0.5229358 Cori -1 1.00
## 692 1 87 CA3 2.2794118 Cori -1 1.00
## 693 1 87 SUB 2.2533333 Cori -1 1.00
## 694 1 87 DG 1.8529412 Cori -1 1.00
## 695 1 87 LS 0.8057554 Cori -1 1.00
## 696 1 87 root 0.5000000 Cori -1 1.00
## 697 1 88 CA3 1.7352941 Cori 1 0.25
## 698 1 88 SUB 2.9200000 Cori 1 0.25
## 699 1 88 LS 1.7985612 Cori 1 0.25
## 700 1 88 ACA 1.3761468 Cori 1 0.25
## 701 1 88 root 1.2222222 Cori 1 0.25
## 702 1 88 VISp 1.6966292 Cori 1 0.25
## 703 1 88 DG 3.2647059 Cori 1 0.25
## 704 1 88 MOs 1.0884956 Cori 1 0.25
## 705 1 89 LS 1.3669065 Cori -1 1.00
## 706 1 89 CA3 2.0735294 Cori -1 1.00
## 707 1 89 VISp 1.3202247 Cori -1 1.00
## 708 1 89 root 0.7777778 Cori -1 1.00
## 709 1 89 SUB 1.9333333 Cori -1 1.00
## 710 1 89 MOs 0.7079646 Cori -1 1.00
## 711 1 89 ACA 1.0000000 Cori -1 1.00
## 712 1 89 DG 1.6764706 Cori -1 1.00
## 713 1 90 VISp 1.1797753 Cori -1 1.00
## 714 1 90 DG 1.5000000 Cori -1 1.00
## 715 1 90 SUB 1.8933333 Cori -1 1.00
## 716 1 90 CA3 1.8382353 Cori -1 1.00
## 717 1 90 LS 1.4028777 Cori -1 1.00
## 718 1 90 MOs 0.7699115 Cori -1 1.00
## 719 1 90 ACA 0.9449541 Cori -1 1.00
## 720 1 90 root 0.7777778 Cori -1 1.00
## 721 1 91 LS 1.4100719 Cori -1 1.00
## 722 1 91 ACA 0.6880734 Cori -1 1.00
## 723 1 91 CA3 1.7794118 Cori -1 1.00
## 724 1 91 MOs 0.7256637 Cori -1 1.00
## 725 1 91 VISp 1.3876404 Cori -1 1.00
## 726 1 91 SUB 2.4133333 Cori -1 1.00
## 727 1 91 DG 1.7058824 Cori -1 1.00
## 728 1 91 root 0.8888889 Cori -1 1.00
## 729 1 92 CA3 1.5441176 Cori -1 1.00
## 730 1 92 ACA 0.6972477 Cori -1 1.00
## 731 1 92 DG 2.0294118 Cori -1 1.00
## 732 1 92 root 1.5000000 Cori -1 1.00
## 733 1 92 VISp 1.5730337 Cori -1 1.00
## 734 1 92 SUB 3.0933333 Cori -1 1.00
## 735 1 92 MOs 0.8938053 Cori -1 1.00
## 736 1 92 LS 1.3956835 Cori -1 1.00
## 737 1 93 MOs 0.6548673 Cori 1 0.25
## 738 1 93 VISp 1.5505618 Cori 1 0.25
## 739 1 93 root 0.9444444 Cori 1 0.25
## 740 1 93 DG 1.7352941 Cori 1 0.25
## 741 1 93 CA3 1.8676471 Cori 1 0.25
## 742 1 93 SUB 1.8933333 Cori 1 0.25
## 743 1 93 LS 1.0791367 Cori 1 0.25
## 744 1 93 ACA 0.7522936 Cori 1 0.25
## 745 1 94 ACA 0.7706422 Cori -1 0.00
## 746 1 94 DG 1.4705882 Cori -1 0.00
## 747 1 94 LS 1.1798561 Cori -1 0.00
## 748 1 94 root 0.8333333 Cori -1 0.00
## 749 1 94 SUB 1.7333333 Cori -1 0.00
## 750 1 94 MOs 0.8053097 Cori -1 0.00
## 751 1 94 CA3 1.7647059 Cori -1 0.00
## 752 1 94 VISp 1.6123596 Cori -1 0.00
## 753 1 95 CA3 1.7941176 Cori 1 0.00
## 754 1 95 ACA 1.2568807 Cori 1 0.00
## 755 1 95 SUB 2.0800000 Cori 1 0.00
## 756 1 95 LS 1.6330935 Cori 1 0.00
## 757 1 95 DG 2.0882353 Cori 1 0.00
## 758 1 95 VISp 1.4775281 Cori 1 0.00
## 759 1 95 MOs 0.9823009 Cori 1 0.00
## 760 1 95 root 1.1111111 Cori 1 0.00
## 761 1 96 DG 1.7352941 Cori -1 0.00
## 762 1 96 root 0.9444444 Cori -1 0.00
## 763 1 96 SUB 2.0000000 Cori -1 0.00
## 764 1 96 VISp 1.4382022 Cori -1 0.00
## 765 1 96 ACA 0.5688073 Cori -1 0.00
## 766 1 96 CA3 2.0588235 Cori -1 0.00
## 767 1 96 LS 1.2086331 Cori -1 0.00
## 768 1 96 MOs 0.8053097 Cori -1 0.00
## 769 1 97 SUB 1.8133333 Cori 1 0.50
## 770 1 97 DG 1.4705882 Cori 1 0.50
## 771 1 97 CA3 1.6911765 Cori 1 0.50
## 772 1 97 VISp 1.1404494 Cori 1 0.50
## 773 1 97 LS 1.5323741 Cori 1 0.50
## 774 1 97 MOs 0.9380531 Cori 1 0.50
## 775 1 97 root 0.3888889 Cori 1 0.50
## 776 1 97 ACA 0.6513761 Cori 1 0.50
## 777 1 98 CA3 1.5588235 Cori 1 1.00
## 778 1 98 DG 1.9705882 Cori 1 1.00
## 779 1 98 MOs 0.9292035 Cori 1 1.00
## 780 1 98 root 0.7222222 Cori 1 1.00
## 781 1 98 ACA 1.2660550 Cori 1 1.00
## 782 1 98 LS 1.6762590 Cori 1 1.00
## 783 1 98 SUB 1.9733333 Cori 1 1.00
## 784 1 98 VISp 1.2696629 Cori 1 1.00
## 785 1 99 DG 3.6176471 Cori 1 0.00
## 786 1 99 SUB 2.9333333 Cori 1 0.00
## 787 1 99 VISp 1.9662921 Cori 1 0.00
## 788 1 99 MOs 1.2300885 Cori 1 0.00
## 789 1 99 ACA 1.5688073 Cori 1 0.00
## 790 1 99 root 1.8888889 Cori 1 0.00
## 791 1 99 LS 1.9712230 Cori 1 0.00
## 792 1 99 CA3 2.0882353 Cori 1 0.00
## 793 1 100 LS 1.1582734 Cori -1 0.00
## 794 1 100 CA3 1.8529412 Cori -1 0.00
## 795 1 100 root 0.8888889 Cori -1 0.00
## 796 1 100 SUB 2.2266667 Cori -1 0.00
## 797 1 100 MOs 0.7433628 Cori -1 0.00
## 798 1 100 DG 2.2352941 Cori -1 0.00
## 799 1 100 ACA 0.7431193 Cori -1 0.00
## 800 1 100 VISp 1.3651685 Cori -1 0.00
## 801 1 101 ACA 0.8807339 Cori -1 0.50
## 802 1 101 CA3 1.9411765 Cori -1 0.50
## 803 1 101 SUB 2.0133333 Cori -1 0.50
## 804 1 101 LS 1.2230216 Cori -1 0.50
## 805 1 101 VISp 1.3483146 Cori -1 0.50
## 806 1 101 MOs 0.9292035 Cori -1 0.50
## 807 1 101 root 0.7222222 Cori -1 0.50
## 808 1 101 DG 1.2352941 Cori -1 0.50
## 809 1 102 LS 1.6402878 Cori -1 1.00
## 810 1 102 ACA 1.3027523 Cori -1 1.00
## 811 1 102 root 0.6111111 Cori -1 1.00
## 812 1 102 SUB 2.0666667 Cori -1 1.00
## 813 1 102 VISp 1.4606742 Cori -1 1.00
## 814 1 102 DG 2.1764706 Cori -1 1.00
## 815 1 102 CA3 1.3970588 Cori -1 1.00
## 816 1 102 MOs 0.9469027 Cori -1 1.00
## 817 1 103 SUB 2.0800000 Cori -1 0.25
## 818 1 103 VISp 1.3707865 Cori -1 0.25
## 819 1 103 DG 1.6470588 Cori -1 0.25
## 820 1 103 MOs 0.5929204 Cori -1 0.25
## 821 1 103 ACA 0.7522936 Cori -1 0.25
## 822 1 103 root 1.2777778 Cori -1 0.25
## 823 1 103 LS 1.0647482 Cori -1 0.25
## 824 1 103 CA3 1.6176471 Cori -1 0.25
## 825 1 104 ACA 1.4128440 Cori 1 0.25
## 826 1 104 CA3 1.7794118 Cori 1 0.25
## 827 1 104 LS 1.9712230 Cori 1 0.25
## 828 1 104 SUB 2.3466667 Cori 1 0.25
## 829 1 104 MOs 1.0353982 Cori 1 0.25
## 830 1 104 DG 3.2058824 Cori 1 0.25
## 831 1 104 VISp 1.5112360 Cori 1 0.25
## 832 1 104 root 0.9444444 Cori 1 0.25
## 833 1 105 LS 0.8633094 Cori -1 0.50
## 834 1 105 DG 1.4117647 Cori -1 0.50
## 835 1 105 MOs 0.6194690 Cori -1 0.50
## 836 1 105 SUB 2.4800000 Cori -1 0.50
## 837 1 105 ACA 0.6880734 Cori -1 0.50
## 838 1 105 root 0.5000000 Cori -1 0.50
## 839 1 105 CA3 1.8676471 Cori -1 0.50
## 840 1 105 VISp 1.3876404 Cori -1 0.50
## 841 1 106 VISp 1.3539326 Cori 1 0.00
## 842 1 106 SUB 1.7200000 Cori 1 0.00
## 843 1 106 LS 1.3525180 Cori 1 0.00
## 844 1 106 DG 1.6470588 Cori 1 0.00
## 845 1 106 root 0.9444444 Cori 1 0.00
## 846 1 106 CA3 1.8088235 Cori 1 0.00
## 847 1 106 MOs 0.9380531 Cori 1 0.00
## 848 1 106 ACA 0.8348624 Cori 1 0.00
## 849 1 107 VISp 1.3707865 Cori 1 0.00
## 850 1 107 CA3 1.6176471 Cori 1 0.00
## 851 1 107 LS 1.1582734 Cori 1 0.00
## 852 1 107 MOs 0.9380531 Cori 1 0.00
## 853 1 107 ACA 0.7981651 Cori 1 0.00
## 854 1 107 root 0.7777778 Cori 1 0.00
## 855 1 107 SUB 1.8666667 Cori 1 0.00
## 856 1 107 DG 1.0000000 Cori 1 0.00
## 857 1 108 DG 1.2647059 Cori -1 0.50
## 858 1 108 LS 1.3237410 Cori -1 0.50
## 859 1 108 ACA 0.8440367 Cori -1 0.50
## 860 1 108 VISp 1.2471910 Cori -1 0.50
## 861 1 108 MOs 0.9115044 Cori -1 0.50
## 862 1 108 SUB 1.8133333 Cori -1 0.50
## 863 1 108 CA3 2.1764706 Cori -1 0.50
## 864 1 108 root 0.5555556 Cori -1 0.50
## 865 1 109 SUB 3.6266667 Cori -1 0.25
## 866 1 109 DG 2.6176471 Cori -1 0.25
## 867 1 109 root 1.0000000 Cori -1 0.25
## 868 1 109 ACA 0.7247706 Cori -1 0.25
## 869 1 109 MOs 0.8230088 Cori -1 0.25
## 870 1 109 LS 1.3597122 Cori -1 0.25
## 871 1 109 CA3 2.6617647 Cori -1 0.25
## 872 1 109 VISp 2.1910112 Cori -1 0.25
## 873 1 110 VISp 1.5280899 Cori -1 0.50
## 874 1 110 LS 1.2949640 Cori -1 0.50
## 875 1 110 CA3 2.0735294 Cori -1 0.50
## 876 1 110 DG 2.4117647 Cori -1 0.50
## 877 1 110 MOs 0.9115044 Cori -1 0.50
## 878 1 110 SUB 2.3600000 Cori -1 0.50
## 879 1 110 root 1.0555556 Cori -1 0.50
## 880 1 110 ACA 0.7889908 Cori -1 0.50
## 881 1 111 MOs 0.7256637 Cori -1 1.00
## 882 1 111 ACA 1.0366972 Cori -1 1.00
## 883 1 111 SUB 2.0133333 Cori -1 1.00
## 884 1 111 VISp 1.5561798 Cori -1 1.00
## 885 1 111 CA3 1.7941176 Cori -1 1.00
## 886 1 111 root 0.9444444 Cori -1 1.00
## 887 1 111 DG 1.8529412 Cori -1 1.00
## 888 1 111 LS 1.3309353 Cori -1 1.00
## 889 1 112 root 1.0555556 Cori -1 1.00
## 890 1 112 ACA 0.7431193 Cori -1 1.00
## 891 1 112 CA3 1.7500000 Cori -1 1.00
## 892 1 112 SUB 2.0800000 Cori -1 1.00
## 893 1 112 VISp 1.0112360 Cori -1 1.00
## 894 1 112 DG 1.4117647 Cori -1 1.00
## 895 1 112 MOs 0.7699115 Cori -1 1.00
## 896 1 112 LS 1.1007194 Cori -1 1.00
## 897 1 113 VISp 2.0561798 Cori -1 1.00
## 898 1 113 ACA 1.4128440 Cori -1 1.00
## 899 1 113 MOs 0.9646018 Cori -1 1.00
## 900 1 113 DG 2.3235294 Cori -1 1.00
## 901 1 113 LS 1.9352518 Cori -1 1.00
## 902 1 113 SUB 2.1600000 Cori -1 1.00
## 903 1 113 root 1.7222222 Cori -1 1.00
## 904 1 113 CA3 2.1911765 Cori -1 1.00
## 905 1 114 MOs 0.6637168 Cori -1 1.00
## 906 1 114 root 1.0000000 Cori -1 1.00
## 907 1 114 CA3 1.5441176 Cori -1 1.00
## 908 1 114 LS 1.2158273 Cori -1 1.00
## 909 1 114 ACA 0.9082569 Cori -1 1.00
## 910 1 114 DG 1.7058824 Cori -1 1.00
## 911 1 114 SUB 1.9066667 Cori -1 1.00
## 912 1 114 VISp 1.5842697 Cori -1 1.00
## 913 2 1 VISl 1.3982684 Cori -1 1.00
## 914 2 1 root 1.5384615 Cori -1 1.00
## 915 2 1 VISpm 2.0000000 Cori -1 1.00
## 916 2 1 POST 1.8167539 Cori -1 1.00
## 917 2 1 CA1 1.1210526 Cori -1 1.00
## 918 2 2 POST 1.0366492 Cori 1 0.00
## 919 2 2 VISpm 1.1357616 Cori 1 0.00
## 920 2 2 VISl 0.9740260 Cori 1 0.00
## 921 2 2 CA1 0.8368421 Cori 1 0.00
## 922 2 2 root 0.9358974 Cori 1 0.00
## 923 2 3 CA1 1.0157895 Cori -1 0.50
## 924 2 3 POST 1.2879581 Cori -1 0.50
## 925 2 3 root 1.2051282 Cori -1 0.50
## 926 2 3 VISl 1.1818182 Cori -1 0.50
## 927 2 3 VISpm 1.4668874 Cori -1 0.50
## 928 2 4 CA1 1.1000000 Cori 1 0.00
## 929 2 4 POST 1.2356021 Cori 1 0.00
## 930 2 4 root 1.1025641 Cori 1 0.00
## 931 2 4 VISl 1.2467532 Cori 1 0.00
## 932 2 4 VISpm 1.5662252 Cori 1 0.00
## 933 2 5 CA1 0.7631579 Cori -1 0.00
## 934 2 5 POST 1.4083770 Cori -1 0.00
## 935 2 5 root 1.1153846 Cori -1 0.00
## 936 2 5 VISl 1.0779221 Cori -1 0.00
## 937 2 5 VISpm 1.6192053 Cori -1 0.00
## 938 2 6 VISl 1.0519481 Cori 1 0.00
## 939 2 6 CA1 0.9315789 Cori 1 0.00
## 940 2 6 root 0.9487179 Cori 1 0.00
## 941 2 6 POST 0.8481675 Cori 1 0.00
## 942 2 6 VISpm 0.9900662 Cori 1 0.00
## 943 2 7 CA1 1.1315789 Cori 1 0.00
## 944 2 7 POST 1.7225131 Cori 1 0.00
## 945 2 7 root 1.0128205 Cori 1 0.00
## 946 2 7 VISl 1.1904762 Cori 1 0.00
## 947 2 7 VISpm 1.8145695 Cori 1 0.00
## 948 2 8 CA1 1.6210526 Cori 1 1.00
## 949 2 8 POST 1.7382199 Cori 1 1.00
## 950 2 8 root 1.6666667 Cori 1 1.00
## 951 2 8 VISl 1.5844156 Cori 1 1.00
## 952 2 8 VISpm 1.7119205 Cori 1 1.00
## 953 2 9 root 0.9743590 Cori -1 0.00
## 954 2 9 VISpm 1.2682119 Cori -1 0.00
## 955 2 9 POST 1.3193717 Cori -1 0.00
## 956 2 9 VISl 1.0692641 Cori -1 0.00
## 957 2 9 CA1 0.8789474 Cori -1 0.00
## 958 2 10 CA1 0.8263158 Cori 1 0.00
## 959 2 10 POST 0.7591623 Cori 1 0.00
## 960 2 10 VISpm 0.8874172 Cori 1 0.00
## 961 2 10 VISl 0.9393939 Cori 1 0.00
## 962 2 10 root 0.8717949 Cori 1 0.00
## 963 2 11 CA1 1.0789474 Cori 1 1.00
## 964 2 11 POST 1.4764398 Cori 1 1.00
## 965 2 11 root 1.2820513 Cori 1 1.00
## 966 2 11 VISl 1.2900433 Cori 1 1.00
## 967 2 11 VISpm 1.5993377 Cori 1 1.00
## 968 2 12 CA1 1.2368421 Cori 1 0.50
## 969 2 12 POST 1.4554974 Cori 1 0.50
## 970 2 12 root 1.2692308 Cori 1 0.50
## 971 2 12 VISl 1.6536797 Cori 1 0.50
## 972 2 12 VISpm 1.5728477 Cori 1 0.50
## 973 2 13 VISl 1.3463203 Cori -1 0.25
## 974 2 13 CA1 1.1684211 Cori -1 0.25
## 975 2 13 VISpm 1.8245033 Cori -1 0.25
## 976 2 13 POST 1.7225131 Cori -1 0.25
## 977 2 13 root 1.2820513 Cori -1 0.25
## 978 2 14 CA1 1.1000000 Cori 1 1.00
## 979 2 14 VISl 1.3506494 Cori 1 1.00
## 980 2 14 root 1.1153846 Cori 1 1.00
## 981 2 14 VISpm 1.4139073 Cori 1 1.00
## 982 2 14 POST 1.5235602 Cori 1 1.00
## 983 2 15 CA1 1.0421053 Cori -1 0.25
## 984 2 15 POST 1.3717277 Cori -1 0.25
## 985 2 15 root 1.1153846 Cori -1 0.25
## 986 2 15 VISl 1.2251082 Cori -1 0.25
## 987 2 15 VISpm 1.7284768 Cori -1 0.25
## 988 2 16 CA1 1.1263158 Cori 1 0.25
## 989 2 16 POST 1.5863874 Cori 1 0.25
## 990 2 16 root 1.1987179 Cori 1 0.25
## 991 2 16 VISl 1.2554113 Cori 1 0.25
## 992 2 16 VISpm 1.7880795 Cori 1 0.25
## 993 2 17 root 1.3525641 Cori 1 0.25
## 994 2 17 VISpm 1.6986755 Cori 1 0.25
## 995 2 17 POST 1.6335079 Cori 1 0.25
## 996 2 17 CA1 1.2368421 Cori 1 0.25
## 997 2 17 VISl 1.3549784 Cori 1 0.25
## 998 2 18 CA1 1.0947368 Cori 1 0.50
## 999 2 18 POST 1.4973822 Cori 1 0.50
## 1000 2 18 root 1.1217949 Cori 1 0.50
## 1001 2 18 VISl 1.2597403 Cori 1 0.50
## 1002 2 18 VISpm 1.3145695 Cori 1 0.50
## 1003 2 19 CA1 1.0210526 Cori -1 0.00
## 1004 2 19 POST 1.3193717 Cori -1 0.00
## 1005 2 19 root 0.9743590 Cori -1 0.00
## 1006 2 19 VISl 1.3852814 Cori -1 0.00
## 1007 2 19 VISpm 1.4602649 Cori -1 0.00
## 1008 2 20 root 1.1346154 Cori -1 0.00
## 1009 2 20 VISpm 1.5463576 Cori -1 0.00
## 1010 2 20 POST 1.0994764 Cori -1 0.00
## 1011 2 20 CA1 1.1000000 Cori -1 0.00
## 1012 2 20 VISl 1.3246753 Cori -1 0.00
## 1013 2 21 VISpm 1.2615894 Cori 1 0.00
## 1014 2 21 root 1.5576923 Cori 1 0.00
## 1015 2 21 CA1 1.3526316 Cori 1 0.00
## 1016 2 21 POST 1.1308901 Cori 1 0.00
## 1017 2 21 VISl 1.4372294 Cori 1 0.00
## 1018 2 22 VISl 1.3376623 Cori -1 1.00
## 1019 2 22 POST 1.5759162 Cori -1 1.00
## 1020 2 22 CA1 1.1736842 Cori -1 1.00
## 1021 2 22 VISpm 1.5728477 Cori -1 1.00
## 1022 2 22 root 1.0448718 Cori -1 1.00
## 1023 2 23 CA1 1.1842105 Cori 1 1.00
## 1024 2 23 POST 1.4240838 Cori 1 1.00
## 1025 2 23 root 1.2179487 Cori 1 1.00
## 1026 2 23 VISl 1.4025974 Cori 1 1.00
## 1027 2 23 VISpm 1.6655629 Cori 1 1.00
## 1028 2 24 CA1 1.1052632 Cori 1 0.50
## 1029 2 24 POST 1.4607330 Cori 1 0.50
## 1030 2 24 root 1.2371795 Cori 1 0.50
## 1031 2 24 VISl 1.3116883 Cori 1 0.50
## 1032 2 24 VISpm 1.4238411 Cori 1 0.50
## 1033 2 25 root 0.8974359 Cori 1 0.00
## 1034 2 25 POST 0.8691099 Cori 1 0.00
## 1035 2 25 CA1 1.1263158 Cori 1 0.00
## 1036 2 25 VISl 1.1688312 Cori 1 0.00
## 1037 2 25 VISpm 1.1026490 Cori 1 0.00
## 1038 2 26 CA1 1.3263158 Cori 1 0.50
## 1039 2 26 POST 1.5130890 Cori 1 0.50
## 1040 2 26 root 1.3653846 Cori 1 0.50
## 1041 2 26 VISl 1.5194805 Cori 1 0.50
## 1042 2 26 VISpm 1.7516556 Cori 1 0.50
## 1043 2 27 CA1 1.0894737 Cori -1 0.00
## 1044 2 27 POST 0.9842932 Cori -1 0.00
## 1045 2 27 root 1.3589744 Cori -1 0.00
## 1046 2 27 VISl 1.3160173 Cori -1 0.00
## 1047 2 27 VISpm 1.1622517 Cori -1 0.00
## 1048 2 28 CA1 1.0526316 Cori 1 0.00
## 1049 2 28 POST 1.2146597 Cori 1 0.00
## 1050 2 28 root 1.0705128 Cori 1 0.00
## 1051 2 28 VISl 1.2597403 Cori 1 0.00
## 1052 2 28 VISpm 1.4635762 Cori 1 0.00
## 1053 2 29 CA1 1.2052632 Cori 1 0.00
## 1054 2 29 POST 1.4869110 Cori 1 0.00
## 1055 2 29 root 1.1923077 Cori 1 0.00
## 1056 2 29 VISl 1.4329004 Cori 1 0.00
## 1057 2 29 VISpm 1.6225166 Cori 1 0.00
## 1058 2 30 CA1 1.3578947 Cori 1 0.00
## 1059 2 30 POST 1.3664921 Cori 1 0.00
## 1060 2 30 root 1.1025641 Cori 1 0.00
## 1061 2 30 VISl 1.1255411 Cori 1 0.00
## 1062 2 30 VISpm 1.5066225 Cori 1 0.00
## 1063 2 31 CA1 1.1736842 Cori 1 1.00
## 1064 2 31 POST 1.6910995 Cori 1 1.00
## 1065 2 31 root 1.0256410 Cori 1 1.00
## 1066 2 31 VISl 1.2510823 Cori 1 1.00
## 1067 2 31 VISpm 1.5960265 Cori 1 1.00
## 1068 2 32 VISl 1.3549784 Cori -1 0.25
## 1069 2 32 POST 1.6649215 Cori -1 0.25
## 1070 2 32 VISpm 1.5662252 Cori -1 0.25
## 1071 2 32 CA1 1.0947368 Cori -1 0.25
## 1072 2 32 root 1.1858974 Cori -1 0.25
## 1073 2 33 VISl 1.3376623 Cori 1 1.00
## 1074 2 33 POST 1.4869110 Cori 1 1.00
## 1075 2 33 root 1.1282051 Cori 1 1.00
## 1076 2 33 VISpm 1.5860927 Cori 1 1.00
## 1077 2 33 CA1 1.1842105 Cori 1 1.00
## 1078 2 34 CA1 1.0526316 Cori 1 0.00
## 1079 2 34 POST 1.2984293 Cori 1 0.00
## 1080 2 34 root 1.1282051 Cori 1 0.00
## 1081 2 34 VISl 1.2857143 Cori 1 0.00
## 1082 2 34 VISpm 1.2152318 Cori 1 0.00
## 1083 2 35 CA1 0.8947368 Cori 1 0.00
## 1084 2 35 POST 0.9738220 Cori 1 0.00
## 1085 2 35 VISl 1.1471861 Cori 1 0.00
## 1086 2 35 VISpm 1.0894040 Cori 1 0.00
## 1087 2 35 root 1.2820513 Cori 1 0.00
## 1088 2 36 CA1 1.2684211 Cori 1 0.00
## 1089 2 36 POST 1.3560209 Cori 1 0.00
## 1090 2 36 root 1.1730769 Cori 1 0.00
## 1091 2 36 VISl 1.2337662 Cori 1 0.00
## 1092 2 36 VISpm 1.6655629 Cori 1 0.00
## 1093 2 37 POST 1.3612565 Cori 1 0.25
## 1094 2 37 VISpm 1.2317881 Cori 1 0.25
## 1095 2 37 VISl 1.3549784 Cori 1 0.25
## 1096 2 37 root 0.9871795 Cori 1 0.25
## 1097 2 37 CA1 1.0473684 Cori 1 0.25
## 1098 2 38 CA1 0.8894737 Cori 1 0.00
## 1099 2 38 POST 1.5549738 Cori 1 0.00
## 1100 2 38 root 1.0833333 Cori 1 0.00
## 1101 2 38 VISl 1.3333333 Cori 1 0.00
## 1102 2 38 VISpm 1.3410596 Cori 1 0.00
## 1103 2 39 POST 1.2617801 Cori -1 0.00
## 1104 2 39 VISpm 1.3311258 Cori -1 0.00
## 1105 2 39 VISl 1.2294372 Cori -1 0.00
## 1106 2 39 root 0.7692308 Cori -1 0.00
## 1107 2 39 CA1 1.1157895 Cori -1 0.00
## 1108 2 40 CA1 1.1842105 Cori 1 0.00
## 1109 2 40 POST 1.0837696 Cori 1 0.00
## 1110 2 40 root 0.9615385 Cori 1 0.00
## 1111 2 40 VISl 1.3939394 Cori 1 0.00
## 1112 2 40 VISpm 1.2715232 Cori 1 0.00
## 1113 2 41 root 1.0384615 Cori 1 0.00
## 1114 2 41 VISl 1.3982684 Cori 1 0.00
## 1115 2 41 CA1 1.1947368 Cori 1 0.00
## 1116 2 41 POST 1.5706806 Cori 1 0.00
## 1117 2 41 VISpm 1.4635762 Cori 1 0.00
## 1118 2 42 VISl 1.3376623 Cori 1 0.25
## 1119 2 42 POST 1.6910995 Cori 1 0.25
## 1120 2 42 root 0.9807692 Cori 1 0.25
## 1121 2 42 VISpm 1.6026490 Cori 1 0.25
## 1122 2 42 CA1 1.2894737 Cori 1 0.25
## 1123 2 43 POST 1.2984293 Cori 1 0.00
## 1124 2 43 CA1 0.9736842 Cori 1 0.00
## 1125 2 43 VISpm 1.3178808 Cori 1 0.00
## 1126 2 43 root 1.1538462 Cori 1 0.00
## 1127 2 43 VISl 1.2813853 Cori 1 0.00
## 1128 2 44 CA1 1.4000000 Cori 1 1.00
## 1129 2 44 POST 1.6910995 Cori 1 1.00
## 1130 2 44 root 1.0641026 Cori 1 1.00
## 1131 2 44 VISl 1.6666667 Cori 1 1.00
## 1132 2 44 VISpm 1.7715232 Cori 1 1.00
## 1133 2 45 VISpm 1.6456954 Cori 1 0.50
## 1134 2 45 root 1.2115385 Cori 1 0.50
## 1135 2 45 CA1 1.4052632 Cori 1 0.50
## 1136 2 45 POST 1.4240838 Cori 1 0.50
## 1137 2 45 VISl 1.2380952 Cori 1 0.50
## 1138 2 46 CA1 1.3894737 Cori 1 0.25
## 1139 2 46 POST 1.6544503 Cori 1 0.25
## 1140 2 46 root 1.3461538 Cori 1 0.25
## 1141 2 46 VISl 1.6839827 Cori 1 0.25
## 1142 2 46 VISpm 1.7582781 Cori 1 0.25
## 1143 2 47 CA1 1.3052632 Cori 1 0.00
## 1144 2 47 VISpm 1.6953642 Cori 1 0.00
## 1145 2 47 root 1.0961538 Cori 1 0.00
## 1146 2 47 POST 1.5497382 Cori 1 0.00
## 1147 2 47 VISl 1.4978355 Cori 1 0.00
## 1148 2 48 CA1 1.2210526 Cori 1 0.00
## 1149 2 48 POST 1.6649215 Cori 1 0.00
## 1150 2 48 root 0.9102564 Cori 1 0.00
## 1151 2 48 VISl 1.3809524 Cori 1 0.00
## 1152 2 48 VISpm 1.6192053 Cori 1 0.00
## 1153 2 49 root 1.0064103 Cori -1 0.00
## 1154 2 49 VISpm 1.0662252 Cori -1 0.00
## 1155 2 49 CA1 1.1263158 Cori -1 0.00
## 1156 2 49 VISl 1.3549784 Cori -1 0.00
## 1157 2 49 POST 0.8638743 Cori -1 0.00
## 1158 2 50 POST 1.2041885 Cori 1 0.00
## 1159 2 50 root 1.1346154 Cori 1 0.00
## 1160 2 50 VISpm 1.2615894 Cori 1 0.00
## 1161 2 50 VISl 1.4069264 Cori 1 0.00
## 1162 2 50 CA1 1.2421053 Cori 1 0.00
## 1163 2 51 CA1 1.5578947 Cori -1 0.00
## 1164 2 51 POST 1.4450262 Cori -1 0.00
## 1165 2 51 root 0.9358974 Cori -1 0.00
## 1166 2 51 VISl 1.6017316 Cori -1 0.00
## 1167 2 51 VISpm 1.4900662 Cori -1 0.00
## 1168 2 52 CA1 1.1789474 Cori 1 0.00
## 1169 2 52 POST 0.8795812 Cori 1 0.00
## 1170 2 52 root 1.1602564 Cori 1 0.00
## 1171 2 52 VISl 1.3809524 Cori 1 0.00
## 1172 2 52 VISpm 1.2880795 Cori 1 0.00
## 1173 2 53 CA1 1.1263158 Cori 1 0.00
## 1174 2 53 POST 1.3455497 Cori 1 0.00
## 1175 2 53 root 0.8269231 Cori 1 0.00
## 1176 2 53 VISl 1.4502165 Cori 1 0.00
## 1177 2 53 VISpm 1.3377483 Cori 1 0.00
## 1178 2 54 CA1 1.2684211 Cori 1 0.50
## 1179 2 54 POST 1.4764398 Cori 1 0.50
## 1180 2 54 root 0.8653846 Cori 1 0.50
## 1181 2 54 VISl 1.4329004 Cori 1 0.50
## 1182 2 54 VISpm 1.5562914 Cori 1 0.50
## 1183 2 55 CA1 1.3526316 Cori 1 1.00
## 1184 2 55 POST 1.4921466 Cori 1 1.00
## 1185 2 55 root 0.9551282 Cori 1 1.00
## 1186 2 55 VISl 1.4718615 Cori 1 1.00
## 1187 2 55 VISpm 1.5728477 Cori 1 1.00
## 1188 2 56 VISl 1.3073593 Cori -1 0.50
## 1189 2 56 CA1 1.3736842 Cori -1 0.50
## 1190 2 56 root 0.9807692 Cori -1 0.50
## 1191 2 56 POST 1.3193717 Cori -1 0.50
## 1192 2 56 VISpm 1.5894040 Cori -1 0.50
## 1193 2 57 root 1.0256410 Cori 1 0.50
## 1194 2 57 VISpm 1.6092715 Cori 1 0.50
## 1195 2 57 POST 1.6230366 Cori 1 0.50
## 1196 2 57 VISl 1.3636364 Cori 1 0.50
## 1197 2 57 CA1 1.2631579 Cori 1 0.50
## 1198 2 58 root 0.9423077 Cori -1 0.00
## 1199 2 58 POST 1.4083770 Cori -1 0.00
## 1200 2 58 VISl 1.3463203 Cori -1 0.00
## 1201 2 58 CA1 1.2421053 Cori -1 0.00
## 1202 2 58 VISpm 1.5397351 Cori -1 0.00
## 1203 2 59 root 1.0448718 Cori -1 0.00
## 1204 2 59 VISl 1.4502165 Cori -1 0.00
## 1205 2 59 VISpm 1.4768212 Cori -1 0.00
## 1206 2 59 CA1 1.2315789 Cori -1 0.00
## 1207 2 59 POST 1.3036649 Cori -1 0.00
## 1208 2 60 CA1 0.9000000 Cori 1 0.00
## 1209 2 60 POST 1.0575916 Cori 1 0.00
## 1210 2 60 root 0.7628205 Cori 1 0.00
## 1211 2 60 VISl 1.2164502 Cori 1 0.00
## 1212 2 60 VISpm 1.3112583 Cori 1 0.00
## 1213 2 61 CA1 1.2631579 Cori 1 1.00
## 1214 2 61 VISl 1.3290043 Cori 1 1.00
## 1215 2 61 POST 1.4240838 Cori 1 1.00
## 1216 2 61 VISpm 1.6788079 Cori 1 1.00
## 1217 2 61 root 1.0384615 Cori 1 1.00
## 1218 2 62 POST 1.0471204 Cori 1 0.00
## 1219 2 62 root 1.2307692 Cori 1 0.00
## 1220 2 62 VISpm 1.2615894 Cori 1 0.00
## 1221 2 62 CA1 1.0421053 Cori 1 0.00
## 1222 2 62 VISl 1.3722944 Cori 1 0.00
## 1223 2 63 CA1 1.0736842 Cori 1 0.00
## 1224 2 63 POST 1.1675393 Cori 1 0.00
## 1225 2 63 root 0.9423077 Cori 1 0.00
## 1226 2 63 VISl 1.1904762 Cori 1 0.00
## 1227 2 63 VISpm 1.2317881 Cori 1 0.00
## 1228 2 64 CA1 1.1105263 Cori 1 0.25
## 1229 2 64 POST 1.1989529 Cori 1 0.25
## 1230 2 64 root 1.0128205 Cori 1 0.25
## 1231 2 64 VISl 1.3982684 Cori 1 0.25
## 1232 2 64 VISpm 1.4139073 Cori 1 0.25
## 1233 2 65 CA1 1.4263158 Cori -1 0.25
## 1234 2 65 POST 1.6335079 Cori -1 0.25
## 1235 2 65 root 0.8141026 Cori -1 0.25
## 1236 2 65 VISl 1.5541126 Cori -1 0.25
## 1237 2 65 VISpm 1.6390728 Cori -1 0.25
## 1238 2 66 CA1 1.2000000 Cori 1 1.00
## 1239 2 66 VISl 1.4372294 Cori 1 1.00
## 1240 2 66 root 1.0448718 Cori 1 1.00
## 1241 2 66 POST 1.6544503 Cori 1 1.00
## 1242 2 66 VISpm 1.5629139 Cori 1 1.00
## 1243 2 67 CA1 1.4736842 Cori 1 0.00
## 1244 2 67 VISl 1.3679654 Cori 1 0.00
## 1245 2 67 VISpm 1.7980132 Cori 1 0.00
## 1246 2 67 POST 1.6649215 Cori 1 0.00
## 1247 2 67 root 0.9871795 Cori 1 0.00
## 1248 2 68 CA1 1.3157895 Cori 1 1.00
## 1249 2 68 POST 1.4869110 Cori 1 1.00
## 1250 2 68 root 0.9358974 Cori 1 1.00
## 1251 2 68 VISl 1.2900433 Cori 1 1.00
## 1252 2 68 VISpm 1.3112583 Cori 1 1.00
## 1253 2 69 CA1 1.1578947 Cori -1 0.00
## 1254 2 69 POST 1.3141361 Cori -1 0.00
## 1255 2 69 root 0.8269231 Cori -1 0.00
## 1256 2 69 VISl 1.3549784 Cori -1 0.00
## 1257 2 69 VISpm 1.3443709 Cori -1 0.00
## 1258 2 70 CA1 0.9105263 Cori 1 0.00
## 1259 2 70 POST 0.8324607 Cori 1 0.00
## 1260 2 70 root 0.9551282 Cori 1 0.00
## 1261 2 70 VISl 1.2510823 Cori 1 0.00
## 1262 2 70 VISpm 1.0596026 Cori 1 0.00
## 1263 2 71 POST 1.5602094 Cori 1 0.00
## 1264 2 71 VISpm 1.5397351 Cori 1 0.00
## 1265 2 71 VISl 1.2813853 Cori 1 0.00
## 1266 2 71 CA1 1.2157895 Cori 1 0.00
## 1267 2 71 root 1.0512821 Cori 1 0.00
## 1268 2 72 CA1 0.8421053 Cori 1 0.00
## 1269 2 72 POST 0.8324607 Cori 1 0.00
## 1270 2 72 VISpm 0.9834437 Cori 1 0.00
## 1271 2 72 VISl 1.1601732 Cori 1 0.00
## 1272 2 72 root 0.7628205 Cori 1 0.00
## 1273 2 73 VISl 1.5281385 Cori 1 1.00
## 1274 2 73 POST 1.6910995 Cori 1 1.00
## 1275 2 73 VISpm 1.8211921 Cori 1 1.00
## 1276 2 73 root 1.2371795 Cori 1 1.00
## 1277 2 73 CA1 1.4789474 Cori 1 1.00
## 1278 2 74 CA1 1.0842105 Cori 1 0.00
## 1279 2 74 VISpm 0.9370861 Cori 1 0.00
## 1280 2 74 VISl 1.0432900 Cori 1 0.00
## 1281 2 74 root 0.7948718 Cori 1 0.00
## 1282 2 74 POST 0.8429319 Cori 1 0.00
## 1283 2 75 VISl 1.4242424 Cori 1 1.00
## 1284 2 75 root 0.9551282 Cori 1 1.00
## 1285 2 75 VISpm 1.6125828 Cori 1 1.00
## 1286 2 75 CA1 1.4315789 Cori 1 1.00
## 1287 2 75 POST 1.8848168 Cori 1 1.00
## 1288 2 76 CA1 1.0052632 Cori -1 0.25
## 1289 2 76 POST 0.8219895 Cori -1 0.25
## 1290 2 76 root 0.7948718 Cori -1 0.25
## 1291 2 76 VISl 1.0735931 Cori -1 0.25
## 1292 2 76 VISpm 0.9470199 Cori -1 0.25
## 1293 2 77 CA1 1.1526316 Cori 1 0.25
## 1294 2 77 POST 1.3507853 Cori 1 0.25
## 1295 2 77 root 0.9615385 Cori 1 0.25
## 1296 2 77 VISl 1.2683983 Cori 1 0.25
## 1297 2 77 VISpm 1.6258278 Cori 1 0.25
## 1298 2 78 root 0.7628205 Cori -1 0.00
## 1299 2 78 VISl 1.0692641 Cori -1 0.00
## 1300 2 78 VISpm 1.2119205 Cori -1 0.00
## 1301 2 78 CA1 1.0000000 Cori -1 0.00
## 1302 2 78 POST 1.1151832 Cori -1 0.00
## 1303 2 79 CA1 1.3894737 Cori 1 0.00
## 1304 2 79 POST 1.3350785 Cori 1 0.00
## 1305 2 79 root 0.9807692 Cori 1 0.00
## 1306 2 79 VISl 1.3982684 Cori 1 0.00
## 1307 2 79 VISpm 1.4437086 Cori 1 0.00
## 1308 2 80 CA1 1.3631579 Cori 1 0.50
## 1309 2 80 POST 1.6439791 Cori 1 0.50
## 1310 2 80 root 1.0320513 Cori 1 0.50
## 1311 2 80 VISl 1.5627706 Cori 1 0.50
## 1312 2 80 VISpm 1.5596026 Cori 1 0.50
## 1313 2 81 POST 1.7277487 Cori 1 0.50
## 1314 2 81 root 1.1923077 Cori 1 0.50
## 1315 2 81 VISpm 1.7483444 Cori 1 0.50
## 1316 2 81 VISl 1.5497835 Cori 1 0.50
## 1317 2 81 CA1 1.3105263 Cori 1 0.50
## 1318 2 82 CA1 1.1105263 Cori 1 0.00
## 1319 2 82 POST 1.6020942 Cori 1 0.00
## 1320 2 82 root 1.0192308 Cori 1 0.00
## 1321 2 82 VISl 1.3593074 Cori 1 0.00
## 1322 2 82 VISpm 1.9039735 Cori 1 0.00
## 1323 2 83 CA1 1.1000000 Cori 1 0.50
## 1324 2 83 POST 1.3979058 Cori 1 0.50
## 1325 2 83 root 0.9551282 Cori 1 0.50
## 1326 2 83 VISl 1.3203463 Cori 1 0.50
## 1327 2 83 VISpm 1.4470199 Cori 1 0.50
## 1328 2 84 CA1 1.2105263 Cori 1 1.00
## 1329 2 84 POST 1.7539267 Cori 1 1.00
## 1330 2 84 root 1.0384615 Cori 1 1.00
## 1331 2 84 VISl 1.4675325 Cori 1 1.00
## 1332 2 84 VISpm 1.7615894 Cori 1 1.00
## 1333 2 85 CA1 1.2263158 Cori 1 0.00
## 1334 2 85 POST 1.5916230 Cori 1 0.00
## 1335 2 85 root 1.1923077 Cori 1 0.00
## 1336 2 85 VISl 1.4718615 Cori 1 0.00
## 1337 2 85 VISpm 1.6688742 Cori 1 0.00
## 1338 2 86 CA1 1.1052632 Cori 1 0.25
## 1339 2 86 POST 1.3507853 Cori 1 0.25
## 1340 2 86 root 1.1602564 Cori 1 0.25
## 1341 2 86 VISl 1.6147186 Cori 1 0.25
## 1342 2 86 VISpm 1.4304636 Cori 1 0.25
## 1343 2 87 CA1 1.1736842 Cori 1 0.00
## 1344 2 87 POST 1.3979058 Cori 1 0.00
## 1345 2 87 root 1.0769231 Cori 1 0.00
## 1346 2 87 VISl 1.1774892 Cori 1 0.00
## 1347 2 87 VISpm 1.3973510 Cori 1 0.00
## 1348 2 88 CA1 0.9263158 Cori 1 0.00
## 1349 2 88 POST 1.7068063 Cori 1 0.00
## 1350 2 88 root 0.9487179 Cori 1 0.00
## 1351 2 88 VISl 1.3809524 Cori 1 0.00
## 1352 2 88 VISpm 1.6490066 Cori 1 0.00
## 1353 2 89 CA1 1.0842105 Cori 1 0.00
## 1354 2 89 POST 1.1151832 Cori 1 0.00
## 1355 2 89 root 1.0064103 Cori 1 0.00
## 1356 2 89 VISl 1.1515152 Cori 1 0.00
## 1357 2 89 VISpm 1.3145695 Cori 1 0.00
## 1358 2 90 CA1 0.9263158 Cori 1 0.00
## 1359 2 90 POST 1.2460733 Cori 1 0.00
## 1360 2 90 root 0.9294872 Cori 1 0.00
## 1361 2 90 VISl 1.1125541 Cori 1 0.00
## 1362 2 90 VISpm 1.1655629 Cori 1 0.00
## 1363 2 91 CA1 0.9105263 Cori -1 0.25
## 1364 2 91 VISl 1.0173160 Cori -1 0.25
## 1365 2 91 VISpm 1.0860927 Cori -1 0.25
## 1366 2 91 POST 0.9424084 Cori -1 0.25
## 1367 2 91 root 0.8525641 Cori -1 0.25
## 1368 2 92 CA1 1.0526316 Cori -1 1.00
## 1369 2 92 POST 1.1884817 Cori -1 1.00
## 1370 2 92 root 0.8782051 Cori -1 1.00
## 1371 2 92 VISl 1.1818182 Cori -1 1.00
## 1372 2 92 VISpm 1.3741722 Cori -1 1.00
## 1373 2 93 CA1 0.9947368 Cori 1 1.00
## 1374 2 93 POST 0.7696335 Cori 1 1.00
## 1375 2 93 root 0.9807692 Cori 1 1.00
## 1376 2 93 VISl 1.0649351 Cori 1 1.00
## 1377 2 93 VISpm 1.0066225 Cori 1 1.00
## 1378 2 94 CA1 0.9578947 Cori 1 0.25
## 1379 2 94 VISl 1.2554113 Cori 1 0.25
## 1380 2 94 POST 1.1465969 Cori 1 0.25
## 1381 2 94 root 0.8461538 Cori 1 0.25
## 1382 2 94 VISpm 1.2549669 Cori 1 0.25
## 1383 2 95 CA1 1.1210526 Cori 1 0.00
## 1384 2 95 POST 1.4764398 Cori 1 0.00
## 1385 2 95 root 0.9551282 Cori 1 0.00
## 1386 2 95 VISl 1.4025974 Cori 1 0.00
## 1387 2 95 VISpm 1.4370861 Cori 1 0.00
## 1388 2 96 VISl 1.1082251 Cori -1 0.00
## 1389 2 96 POST 1.1047120 Cori -1 0.00
## 1390 2 96 VISpm 1.1920530 Cori -1 0.00
## 1391 2 96 root 1.0064103 Cori -1 0.00
## 1392 2 96 CA1 1.0157895 Cori -1 0.00
## 1393 2 97 CA1 0.7315789 Cori 1 0.00
## 1394 2 97 POST 1.2617801 Cori 1 0.00
## 1395 2 97 root 0.9038462 Cori 1 0.00
## 1396 2 97 VISl 1.1168831 Cori 1 0.00
## 1397 2 97 VISpm 1.3576159 Cori 1 0.00
## 1398 2 98 CA1 1.0473684 Cori 1 0.25
## 1399 2 98 POST 0.9005236 Cori 1 0.25
## 1400 2 98 root 0.9166667 Cori 1 0.25
## 1401 2 98 VISl 1.2380952 Cori 1 0.25
## 1402 2 98 VISpm 0.8377483 Cori 1 0.25
## 1403 2 99 CA1 0.8263158 Cori -1 0.25
## 1404 2 99 POST 1.1465969 Cori -1 0.25
## 1405 2 99 root 0.9294872 Cori -1 0.25
## 1406 2 99 VISl 1.1991342 Cori -1 0.25
## 1407 2 99 VISpm 1.1523179 Cori -1 0.25
## 1408 2 100 CA1 1.2105263 Cori 1 0.00
## 1409 2 100 POST 1.5235602 Cori 1 0.00
## 1410 2 100 root 0.9230769 Cori 1 0.00
## 1411 2 100 VISl 1.4199134 Cori 1 0.00
## 1412 2 100 VISpm 1.3377483 Cori 1 0.00
## 1413 2 101 root 1.0641026 Cori 1 0.50
## 1414 2 101 VISl 1.6450216 Cori 1 0.50
## 1415 2 101 VISpm 1.5993377 Cori 1 0.50
## 1416 2 101 CA1 1.2736842 Cori 1 0.50
## 1417 2 101 POST 1.4607330 Cori 1 0.50
## 1418 2 102 CA1 0.9421053 Cori -1 0.50
## 1419 2 102 root 0.8205128 Cori -1 0.50
## 1420 2 102 POST 0.9790576 Cori -1 0.50
## 1421 2 102 VISl 1.1255411 Cori -1 0.50
## 1422 2 102 VISpm 1.2715232 Cori -1 0.50
## 1423 2 103 CA1 1.3157895 Cori -1 1.00
## 1424 2 103 POST 1.0523560 Cori -1 1.00
## 1425 2 103 root 1.0192308 Cori -1 1.00
## 1426 2 103 VISl 1.3549784 Cori -1 1.00
## 1427 2 103 VISpm 1.3211921 Cori -1 1.00
## 1428 2 104 POST 1.2146597 Cori 1 1.00
## 1429 2 104 VISpm 1.3311258 Cori 1 1.00
## 1430 2 104 CA1 1.0578947 Cori 1 1.00
## 1431 2 104 root 0.9166667 Cori 1 1.00
## 1432 2 104 VISl 1.2294372 Cori 1 1.00
## 1433 2 105 CA1 1.1842105 Cori 1 0.00
## 1434 2 105 root 0.9294872 Cori 1 0.00
## 1435 2 105 VISpm 1.7251656 Cori 1 0.00
## 1436 2 105 VISl 1.4285714 Cori 1 0.00
## 1437 2 105 POST 1.6701571 Cori 1 0.00
## 1438 2 106 CA1 0.9210526 Cori -1 0.00
## 1439 2 106 POST 1.3717277 Cori -1 0.00
## 1440 2 106 root 1.0320513 Cori -1 0.00
## 1441 2 106 VISl 1.3636364 Cori -1 0.00
## 1442 2 106 VISpm 1.8509934 Cori -1 0.00
## 1443 2 107 VISpm 1.5331126 Cori -1 0.00
## 1444 2 107 VISl 1.5930736 Cori -1 0.00
## 1445 2 107 POST 1.5654450 Cori -1 0.00
## 1446 2 107 root 1.0320513 Cori -1 0.00
## 1447 2 107 CA1 1.0473684 Cori -1 0.00
## 1448 2 108 CA1 1.0526316 Cori -1 0.00
## 1449 2 108 POST 1.0628272 Cori -1 0.00
## 1450 2 108 root 0.9871795 Cori -1 0.00
## 1451 2 108 VISl 1.2640693 Cori -1 0.00
## 1452 2 108 VISpm 1.3145695 Cori -1 0.00
## 1453 2 109 CA1 1.1526316 Cori 1 0.00
## 1454 2 109 POST 1.0000000 Cori 1 0.00
## 1455 2 109 root 1.0128205 Cori 1 0.00
## 1456 2 109 VISl 1.1558442 Cori 1 0.00
## 1457 2 109 VISpm 1.1887417 Cori 1 0.00
## 1458 2 110 CA1 1.4421053 Cori 1 0.00
## 1459 2 110 POST 1.7748691 Cori 1 0.00
## 1460 2 110 root 0.8974359 Cori 1 0.00
## 1461 2 110 VISl 1.5151515 Cori 1 0.00
## 1462 2 110 VISpm 1.7947020 Cori 1 0.00
## 1463 2 111 root 0.8717949 Cori 1 1.00
## 1464 2 111 POST 1.5602094 Cori 1 1.00
## 1465 2 111 VISpm 1.6059603 Cori 1 1.00
## 1466 2 111 CA1 1.2315789 Cori 1 1.00
## 1467 2 111 VISl 1.2597403 Cori 1 1.00
## 1468 2 112 CA1 1.2210526 Cori 1 0.25
## 1469 2 112 POST 1.3246073 Cori 1 0.25
## 1470 2 112 root 0.8589744 Cori 1 0.25
## 1471 2 112 VISl 1.3376623 Cori 1 0.25
## 1472 2 112 VISpm 1.3973510 Cori 1 0.25
## 1473 2 113 CA1 1.1263158 Cori -1 0.50
## 1474 2 113 POST 0.9162304 Cori -1 0.50
## 1475 2 113 root 1.0128205 Cori -1 0.50
## 1476 2 113 VISl 1.3030303 Cori -1 0.50
## 1477 2 113 VISpm 1.0860927 Cori -1 0.50
## 1478 2 114 CA1 1.1000000 Cori 1 0.00
## 1479 2 114 POST 1.5654450 Cori 1 0.00
## 1480 2 114 root 1.0641026 Cori 1 0.00
## 1481 2 114 VISl 1.3896104 Cori 1 0.00
## 1482 2 114 VISpm 1.6357616 Cori 1 0.00
## 1483 2 115 CA1 1.3894737 Cori 1 0.00
## 1484 2 115 POST 1.6387435 Cori 1 0.00
## 1485 2 115 root 1.3333333 Cori 1 0.00
## 1486 2 115 VISl 1.5021645 Cori 1 0.00
## 1487 2 115 VISpm 2.0264901 Cori 1 0.00
## 1488 2 116 VISpm 1.4701987 Cori 1 0.25
## 1489 2 116 CA1 1.2368421 Cori 1 0.25
## 1490 2 116 VISl 1.2813853 Cori 1 0.25
## 1491 2 116 POST 1.2146597 Cori 1 0.25
## 1492 2 116 root 1.0000000 Cori 1 0.25
## 1493 2 117 VISpm 1.5165563 Cori 1 0.00
## 1494 2 117 VISl 1.3636364 Cori 1 0.00
## 1495 2 117 CA1 1.1684211 Cori 1 0.00
## 1496 2 117 root 0.9487179 Cori 1 0.00
## 1497 2 117 POST 1.2303665 Cori 1 0.00
## 1498 2 118 root 0.8333333 Cori -1 0.00
## 1499 2 118 CA1 0.9368421 Cori -1 0.00
## 1500 2 118 VISl 1.2121212 Cori -1 0.00
## 1501 2 118 VISpm 1.4403974 Cori -1 0.00
## 1502 2 118 POST 1.3717277 Cori -1 0.00
## 1503 2 119 VISl 1.2727273 Cori 1 0.00
## 1504 2 119 root 0.9423077 Cori 1 0.00
## 1505 2 119 CA1 1.0105263 Cori 1 0.00
## 1506 2 119 VISpm 1.2119205 Cori 1 0.00
## 1507 2 119 POST 1.1570681 Cori 1 0.00
## 1508 2 120 CA1 1.2263158 Cori 1 0.00
## 1509 2 120 POST 1.2931937 Cori 1 0.00
## 1510 2 120 root 0.8525641 Cori 1 0.00
## 1511 2 120 VISl 1.2424242 Cori 1 0.00
## 1512 2 120 VISpm 1.7052980 Cori 1 0.00
## 1513 2 121 CA1 1.0368421 Cori -1 0.00
## 1514 2 121 POST 1.3089005 Cori -1 0.00
## 1515 2 121 root 0.8846154 Cori -1 0.00
## 1516 2 121 VISl 1.1385281 Cori -1 0.00
## 1517 2 121 VISpm 1.4370861 Cori -1 0.00
## 1518 2 122 CA1 0.9157895 Cori -1 0.00
## 1519 2 122 POST 1.0261780 Cori -1 0.00
## 1520 2 122 root 0.6666667 Cori -1 0.00
## 1521 2 122 VISl 0.9134199 Cori -1 0.00
## 1522 2 122 VISpm 1.3311258 Cori -1 0.00
## 1523 2 123 CA1 1.2894737 Cori 1 0.00
## 1524 2 123 POST 1.5183246 Cori 1 0.00
## 1525 2 123 root 0.9102564 Cori 1 0.00
## 1526 2 123 VISl 1.4718615 Cori 1 0.00
## 1527 2 123 VISpm 1.6258278 Cori 1 0.00
## 1528 2 124 VISpm 1.3774834 Cori 1 0.50
## 1529 2 124 root 0.8012821 Cori 1 0.50
## 1530 2 124 CA1 0.8210526 Cori 1 0.50
## 1531 2 124 POST 1.1518325 Cori 1 0.50
## 1532 2 124 VISl 1.0000000 Cori 1 0.50
## 1533 2 125 CA1 0.8789474 Cori -1 0.00
## 1534 2 125 POST 1.2460733 Cori -1 0.00
## 1535 2 125 root 0.8012821 Cori -1 0.00
## 1536 2 125 VISl 1.1125541 Cori -1 0.00
## 1537 2 125 VISpm 1.2384106 Cori -1 0.00
## 1538 2 126 CA1 0.8526316 Cori 1 0.00
## leftcontrast contrastdiff avg_spike_count_session_mean
## 1 0.00 0.5 1.587192
## 2 0.00 0.5 1.587192
## 3 0.00 0.5 1.587192
## 4 0.00 0.5 1.587192
## 5 0.00 0.5 1.587192
## 6 0.00 0.5 1.587192
## 7 0.00 0.5 1.587192
## 8 0.00 0.5 1.587192
## 9 0.00 0 1.587192
## 10 0.00 0 1.587192
## 11 0.00 0 1.587192
## 12 0.00 0 1.587192
## 13 0.00 0 1.587192
## 14 0.00 0 1.587192
## 15 0.00 0 1.587192
## 16 0.00 0 1.587192
## 17 0.50 0.5 1.587192
## 18 0.50 0.5 1.587192
## 19 0.50 0.5 1.587192
## 20 0.50 0.5 1.587192
## 21 0.50 0.5 1.587192
## 22 0.50 0.5 1.587192
## 23 0.50 0.5 1.587192
## 24 0.50 0.5 1.587192
## 25 0.00 0 1.587192
## 26 0.00 0 1.587192
## 27 0.00 0 1.587192
## 28 0.00 0 1.587192
## 29 0.00 0 1.587192
## 30 0.00 0 1.587192
## 31 0.00 0 1.587192
## 32 0.00 0 1.587192
## 33 0.00 0 1.587192
## 34 0.00 0 1.587192
## 35 0.00 0 1.587192
## 36 0.00 0 1.587192
## 37 0.00 0 1.587192
## 38 0.00 0 1.587192
## 39 0.00 0 1.587192
## 40 0.00 0 1.587192
## 41 0.00 0 1.587192
## 42 0.00 0 1.587192
## 43 0.00 0 1.587192
## 44 0.00 0 1.587192
## 45 0.00 0 1.587192
## 46 0.00 0 1.587192
## 47 0.00 0 1.587192
## 48 0.00 0 1.587192
## 49 1.00 -0.5 1.587192
## 50 1.00 -0.5 1.587192
## 51 1.00 -0.5 1.587192
## 52 1.00 -0.5 1.587192
## 53 1.00 -0.5 1.587192
## 54 1.00 -0.5 1.587192
## 55 1.00 -0.5 1.587192
## 56 1.00 -0.5 1.587192
## 57 0.50 -0.5 1.587192
## 58 0.50 -0.5 1.587192
## 59 0.50 -0.5 1.587192
## 60 0.50 -0.5 1.587192
## 61 0.50 -0.5 1.587192
## 62 0.50 -0.5 1.587192
## 63 0.50 -0.5 1.587192
## 64 0.50 -0.5 1.587192
## 65 0.00 0 1.587192
## 66 0.00 0 1.587192
## 67 0.00 0 1.587192
## 68 0.00 0 1.587192
## 69 0.00 0 1.587192
## 70 0.00 0 1.587192
## 71 0.00 0 1.587192
## 72 0.00 0 1.587192
## 73 0.50 -0.25 1.587192
## 74 0.50 -0.25 1.587192
## 75 0.50 -0.25 1.587192
## 76 0.50 -0.25 1.587192
## 77 0.50 -0.25 1.587192
## 78 0.50 -0.25 1.587192
## 79 0.50 -0.25 1.587192
## 80 0.50 -0.25 1.587192
## 81 0.50 -0.5 1.587192
## 82 0.50 -0.5 1.587192
## 83 0.50 -0.5 1.587192
## 84 0.50 -0.5 1.587192
## 85 0.50 -0.5 1.587192
## 86 0.50 -0.5 1.587192
## 87 0.50 -0.5 1.587192
## 88 0.50 -0.5 1.587192
## 89 0.00 1 1.587192
## 90 0.00 1 1.587192
## 91 0.00 1 1.587192
## 92 0.00 1 1.587192
## 93 0.00 1 1.587192
## 94 0.00 1 1.587192
## 95 0.00 1 1.587192
## 96 0.00 1 1.587192
## 97 1.00 0 1.587192
## 98 1.00 0 1.587192
## 99 1.00 0 1.587192
## 100 1.00 0 1.587192
## 101 1.00 0 1.587192
## 102 1.00 0 1.587192
## 103 1.00 0 1.587192
## 104 1.00 0 1.587192
## 105 0.00 0 1.587192
## 106 0.00 0 1.587192
## 107 0.00 0 1.587192
## 108 0.00 0 1.587192
## 109 0.00 0 1.587192
## 110 0.00 0 1.587192
## 111 0.00 0 1.587192
## 112 0.00 0 1.587192
## 113 0.00 0 1.587192
## 114 0.00 0 1.587192
## 115 0.00 0 1.587192
## 116 0.00 0 1.587192
## 117 0.00 0 1.587192
## 118 0.00 0 1.587192
## 119 0.00 0 1.587192
## 120 0.00 0 1.587192
## 121 0.00 0 1.587192
## 122 0.00 0 1.587192
## 123 0.00 0 1.587192
## 124 0.00 0 1.587192
## 125 0.00 0 1.587192
## 126 0.00 0 1.587192
## 127 0.00 0 1.587192
## 128 0.00 0 1.587192
## 129 0.00 0 1.587192
## 130 0.00 0 1.587192
## 131 0.00 0 1.587192
## 132 0.00 0 1.587192
## 133 0.00 0 1.587192
## 134 0.00 0 1.587192
## 135 0.00 0 1.587192
## 136 0.00 0 1.587192
## 137 0.00 0.5 1.587192
## 138 0.00 0.5 1.587192
## 139 0.00 0.5 1.587192
## 140 0.00 0.5 1.587192
## 141 0.00 0.5 1.587192
## 142 0.00 0.5 1.587192
## 143 0.00 0.5 1.587192
## 144 0.00 0.5 1.587192
## 145 0.50 -0.25 1.587192
## 146 0.50 -0.25 1.587192
## 147 0.50 -0.25 1.587192
## 148 0.50 -0.25 1.587192
## 149 0.50 -0.25 1.587192
## 150 0.50 -0.25 1.587192
## 151 0.50 -0.25 1.587192
## 152 0.50 -0.25 1.587192
## 153 0.25 0.75 1.587192
## 154 0.25 0.75 1.587192
## 155 0.25 0.75 1.587192
## 156 0.25 0.75 1.587192
## 157 0.25 0.75 1.587192
## 158 0.25 0.75 1.587192
## 159 0.25 0.75 1.587192
## 160 0.25 0.75 1.587192
## 161 0.00 0 1.587192
## 162 0.00 0 1.587192
## 163 0.00 0 1.587192
## 164 0.00 0 1.587192
## 165 0.00 0 1.587192
## 166 0.00 0 1.587192
## 167 0.00 0 1.587192
## 168 0.00 0 1.587192
## 169 1.00 -0.5 1.587192
## 170 1.00 -0.5 1.587192
## 171 1.00 -0.5 1.587192
## 172 1.00 -0.5 1.587192
## 173 1.00 -0.5 1.587192
## 174 1.00 -0.5 1.587192
## 175 1.00 -0.5 1.587192
## 176 1.00 -0.5 1.587192
## 177 0.00 0 1.587192
## 178 0.00 0 1.587192
## 179 0.00 0 1.587192
## 180 0.00 0 1.587192
## 181 0.00 0 1.587192
## 182 0.00 0 1.587192
## 183 0.00 0 1.587192
## 184 0.00 0 1.587192
## 185 0.00 0 1.587192
## 186 0.00 0 1.587192
## 187 0.00 0 1.587192
## 188 0.00 0 1.587192
## 189 0.00 0 1.587192
## 190 0.00 0 1.587192
## 191 0.00 0 1.587192
## 192 0.00 0 1.587192
## 193 0.00 0.25 1.587192
## 194 0.00 0.25 1.587192
## 195 0.00 0.25 1.587192
## 196 0.00 0.25 1.587192
## 197 0.00 0.25 1.587192
## 198 0.00 0.25 1.587192
## 199 0.00 0.25 1.587192
## 200 0.00 0.25 1.587192
## 201 1.00 -0.75 1.587192
## 202 1.00 -0.75 1.587192
## 203 1.00 -0.75 1.587192
## 204 1.00 -0.75 1.587192
## 205 1.00 -0.75 1.587192
## 206 1.00 -0.75 1.587192
## 207 1.00 -0.75 1.587192
## 208 1.00 -0.75 1.587192
## 209 0.00 0.5 1.587192
## 210 0.00 0.5 1.587192
## 211 0.00 0.5 1.587192
## 212 0.00 0.5 1.587192
## 213 0.00 0.5 1.587192
## 214 0.00 0.5 1.587192
## 215 0.00 0.5 1.587192
## 216 0.00 0.5 1.587192
## 217 0.00 0 1.587192
## 218 0.00 0 1.587192
## 219 0.00 0 1.587192
## 220 0.00 0 1.587192
## 221 0.00 0 1.587192
## 222 0.00 0 1.587192
## 223 0.00 0 1.587192
## 224 0.00 0 1.587192
## 225 0.00 0 1.587192
## 226 0.00 0 1.587192
## 227 0.00 0 1.587192
## 228 0.00 0 1.587192
## 229 0.00 0 1.587192
## 230 0.00 0 1.587192
## 231 0.00 0 1.587192
## 232 0.00 0 1.587192
## 233 0.00 0.5 1.587192
## 234 0.00 0.5 1.587192
## 235 0.00 0.5 1.587192
## 236 0.00 0.5 1.587192
## 237 0.00 0.5 1.587192
## 238 0.00 0.5 1.587192
## 239 0.00 0.5 1.587192
## 240 0.00 0.5 1.587192
## 241 0.50 -0.5 1.587192
## 242 0.50 -0.5 1.587192
## 243 0.50 -0.5 1.587192
## 244 0.50 -0.5 1.587192
## 245 0.50 -0.5 1.587192
## 246 0.50 -0.5 1.587192
## 247 0.50 -0.5 1.587192
## 248 0.50 -0.5 1.587192
## 249 0.00 0 1.587192
## 250 0.00 0 1.587192
## 251 0.00 0 1.587192
## 252 0.00 0 1.587192
## 253 0.00 0 1.587192
## 254 0.00 0 1.587192
## 255 0.00 0 1.587192
## 256 0.00 0 1.587192
## 257 0.00 0 1.587192
## 258 0.00 0 1.587192
## 259 0.00 0 1.587192
## 260 0.00 0 1.587192
## 261 0.00 0 1.587192
## 262 0.00 0 1.587192
## 263 0.00 0 1.587192
## 264 0.00 0 1.587192
## 265 0.50 0 1.587192
## 266 0.50 0 1.587192
## 267 0.50 0 1.587192
## 268 0.50 0 1.587192
## 269 0.50 0 1.587192
## 270 0.50 0 1.587192
## 271 0.50 0 1.587192
## 272 0.50 0 1.587192
## 273 0.00 0.25 1.587192
## 274 0.00 0.25 1.587192
## 275 0.00 0.25 1.587192
## 276 0.00 0.25 1.587192
## 277 0.00 0.25 1.587192
## 278 0.00 0.25 1.587192
## 279 0.00 0.25 1.587192
## 280 0.00 0.25 1.587192
## 281 0.00 1 1.587192
## 282 0.00 1 1.587192
## 283 0.00 1 1.587192
## 284 0.00 1 1.587192
## 285 0.00 1 1.587192
## 286 0.00 1 1.587192
## 287 0.00 1 1.587192
## 288 0.00 1 1.587192
## 289 0.00 0.5 1.587192
## 290 0.00 0.5 1.587192
## 291 0.00 0.5 1.587192
## 292 0.00 0.5 1.587192
## 293 0.00 0.5 1.587192
## 294 0.00 0.5 1.587192
## 295 0.00 0.5 1.587192
## 296 0.00 0.5 1.587192
## 297 0.25 0.75 1.587192
## 298 0.25 0.75 1.587192
## 299 0.25 0.75 1.587192
## 300 0.25 0.75 1.587192
## 301 0.25 0.75 1.587192
## 302 0.25 0.75 1.587192
## 303 0.25 0.75 1.587192
## 304 0.25 0.75 1.587192
## 305 0.00 0 1.587192
## 306 0.00 0 1.587192
## 307 0.00 0 1.587192
## 308 0.00 0 1.587192
## 309 0.00 0 1.587192
## 310 0.00 0 1.587192
## 311 0.00 0 1.587192
## 312 0.00 0 1.587192
## 313 1.00 -1 1.587192
## 314 1.00 -1 1.587192
## 315 1.00 -1 1.587192
## 316 1.00 -1 1.587192
## 317 1.00 -1 1.587192
## 318 1.00 -1 1.587192
## 319 1.00 -1 1.587192
## 320 1.00 -1 1.587192
## 321 0.00 0.5 1.587192
## 322 0.00 0.5 1.587192
## 323 0.00 0.5 1.587192
## 324 0.00 0.5 1.587192
## 325 0.00 0.5 1.587192
## 326 0.00 0.5 1.587192
## 327 0.00 0.5 1.587192
## 328 0.00 0.5 1.587192
## 329 0.00 0.5 1.587192
## 330 0.00 0.5 1.587192
## 331 0.00 0.5 1.587192
## 332 0.00 0.5 1.587192
## 333 0.00 0.5 1.587192
## 334 0.00 0.5 1.587192
## 335 0.00 0.5 1.587192
## 336 0.00 0.5 1.587192
## 337 1.00 -1 1.587192
## 338 1.00 -1 1.587192
## 339 1.00 -1 1.587192
## 340 1.00 -1 1.587192
## 341 1.00 -1 1.587192
## 342 1.00 -1 1.587192
## 343 1.00 -1 1.587192
## 344 1.00 -1 1.587192
## 345 1.00 -0.75 1.587192
## 346 1.00 -0.75 1.587192
## 347 1.00 -0.75 1.587192
## 348 1.00 -0.75 1.587192
## 349 1.00 -0.75 1.587192
## 350 1.00 -0.75 1.587192
## 351 1.00 -0.75 1.587192
## 352 1.00 -0.75 1.587192
## 353 0.50 0.5 1.587192
## 354 0.50 0.5 1.587192
## 355 0.50 0.5 1.587192
## 356 0.50 0.5 1.587192
## 357 0.50 0.5 1.587192
## 358 0.50 0.5 1.587192
## 359 0.50 0.5 1.587192
## 360 0.50 0.5 1.587192
## 361 1.00 -1 1.587192
## 362 1.00 -1 1.587192
## 363 1.00 -1 1.587192
## 364 1.00 -1 1.587192
## 365 1.00 -1 1.587192
## 366 1.00 -1 1.587192
## 367 1.00 -1 1.587192
## 368 1.00 -1 1.587192
## 369 1.00 0 1.587192
## 370 1.00 0 1.587192
## 371 1.00 0 1.587192
## 372 1.00 0 1.587192
## 373 1.00 0 1.587192
## 374 1.00 0 1.587192
## 375 1.00 0 1.587192
## 376 1.00 0 1.587192
## 377 0.00 0 1.587192
## 378 0.00 0 1.587192
## 379 0.00 0 1.587192
## 380 0.00 0 1.587192
## 381 0.00 0 1.587192
## 382 0.00 0 1.587192
## 383 0.00 0 1.587192
## 384 0.00 0 1.587192
## 385 0.25 0.75 1.587192
## 386 0.25 0.75 1.587192
## 387 0.25 0.75 1.587192
## 388 0.25 0.75 1.587192
## 389 0.25 0.75 1.587192
## 390 0.25 0.75 1.587192
## 391 0.25 0.75 1.587192
## 392 0.25 0.75 1.587192
## 393 0.25 0.75 1.587192
## 394 0.25 0.75 1.587192
## 395 0.25 0.75 1.587192
## 396 0.25 0.75 1.587192
## 397 0.25 0.75 1.587192
## 398 0.25 0.75 1.587192
## 399 0.25 0.75 1.587192
## 400 0.25 0.75 1.587192
## 401 0.50 -0.5 1.587192
## 402 0.50 -0.5 1.587192
## 403 0.50 -0.5 1.587192
## 404 0.50 -0.5 1.587192
## 405 0.50 -0.5 1.587192
## 406 0.50 -0.5 1.587192
## 407 0.50 -0.5 1.587192
## 408 0.50 -0.5 1.587192
## 409 1.00 -1 1.587192
## 410 1.00 -1 1.587192
## 411 1.00 -1 1.587192
## 412 1.00 -1 1.587192
## 413 1.00 -1 1.587192
## 414 1.00 -1 1.587192
## 415 1.00 -1 1.587192
## 416 1.00 -1 1.587192
## 417 0.25 0.25 1.587192
## 418 0.25 0.25 1.587192
## 419 0.25 0.25 1.587192
## 420 0.25 0.25 1.587192
## 421 0.25 0.25 1.587192
## 422 0.25 0.25 1.587192
## 423 0.25 0.25 1.587192
## 424 0.25 0.25 1.587192
## 425 0.50 -0.5 1.587192
## 426 0.50 -0.5 1.587192
## 427 0.50 -0.5 1.587192
## 428 0.50 -0.5 1.587192
## 429 0.50 -0.5 1.587192
## 430 0.50 -0.5 1.587192
## 431 0.50 -0.5 1.587192
## 432 0.50 -0.5 1.587192
## 433 0.00 0.5 1.587192
## 434 0.00 0.5 1.587192
## 435 0.00 0.5 1.587192
## 436 0.00 0.5 1.587192
## 437 0.00 0.5 1.587192
## 438 0.00 0.5 1.587192
## 439 0.00 0.5 1.587192
## 440 0.00 0.5 1.587192
## 441 0.00 1 1.587192
## 442 0.00 1 1.587192
## 443 0.00 1 1.587192
## 444 0.00 1 1.587192
## 445 0.00 1 1.587192
## 446 0.00 1 1.587192
## 447 0.00 1 1.587192
## 448 0.00 1 1.587192
## 449 0.25 0.75 1.587192
## 450 0.25 0.75 1.587192
## 451 0.25 0.75 1.587192
## 452 0.25 0.75 1.587192
## 453 0.25 0.75 1.587192
## 454 0.25 0.75 1.587192
## 455 0.25 0.75 1.587192
## 456 0.25 0.75 1.587192
## 457 0.25 0.75 1.587192
## 458 0.25 0.75 1.587192
## 459 0.25 0.75 1.587192
## 460 0.25 0.75 1.587192
## 461 0.25 0.75 1.587192
## 462 0.25 0.75 1.587192
## 463 0.25 0.75 1.587192
## 464 0.25 0.75 1.587192
## 465 0.25 0.75 1.587192
## 466 0.25 0.75 1.587192
## 467 0.25 0.75 1.587192
## 468 0.25 0.75 1.587192
## 469 0.25 0.75 1.587192
## 470 0.25 0.75 1.587192
## 471 0.25 0.75 1.587192
## 472 0.25 0.75 1.587192
## 473 0.00 1 1.587192
## 474 0.00 1 1.587192
## 475 0.00 1 1.587192
## 476 0.00 1 1.587192
## 477 0.00 1 1.587192
## 478 0.00 1 1.587192
## 479 0.00 1 1.587192
## 480 0.00 1 1.587192
## 481 0.00 1 1.587192
## 482 0.00 1 1.587192
## 483 0.00 1 1.587192
## 484 0.00 1 1.587192
## 485 0.00 1 1.587192
## 486 0.00 1 1.587192
## 487 0.00 1 1.587192
## 488 0.00 1 1.587192
## 489 0.00 1 1.587192
## 490 0.00 1 1.587192
## 491 0.00 1 1.587192
## 492 0.00 1 1.587192
## 493 0.00 1 1.587192
## 494 0.00 1 1.587192
## 495 0.00 1 1.587192
## 496 0.00 1 1.587192
## 497 0.25 0 1.587192
## 498 0.25 0 1.587192
## 499 0.25 0 1.587192
## 500 0.25 0 1.587192
## 501 0.25 0 1.587192
## 502 0.25 0 1.587192
## 503 0.25 0 1.587192
## 504 0.25 0 1.587192
## 505 0.25 0.75 1.587192
## 506 0.25 0.75 1.587192
## 507 0.25 0.75 1.587192
## 508 0.25 0.75 1.587192
## 509 0.25 0.75 1.587192
## 510 0.25 0.75 1.587192
## 511 0.25 0.75 1.587192
## 512 0.25 0.75 1.587192
## 513 0.25 0.75 1.587192
## 514 0.25 0.75 1.587192
## 515 0.25 0.75 1.587192
## 516 0.25 0.75 1.587192
## 517 0.25 0.75 1.587192
## 518 0.25 0.75 1.587192
## 519 0.25 0.75 1.587192
## 520 0.25 0.75 1.587192
## 521 0.25 0.75 1.587192
## 522 0.25 0.75 1.587192
## 523 0.25 0.75 1.587192
## 524 0.25 0.75 1.587192
## 525 0.25 0.75 1.587192
## 526 0.25 0.75 1.587192
## 527 0.25 0.75 1.587192
## 528 0.25 0.75 1.587192
## 529 0.25 0.75 1.587192
## 530 0.25 0.75 1.587192
## 531 0.25 0.75 1.587192
## 532 0.25 0.75 1.587192
## 533 0.25 0.75 1.587192
## 534 0.25 0.75 1.587192
## 535 0.25 0.75 1.587192
## 536 0.25 0.75 1.587192
## 537 0.00 0 1.587192
## 538 0.00 0 1.587192
## 539 0.00 0 1.587192
## 540 0.00 0 1.587192
## 541 0.00 0 1.587192
## 542 0.00 0 1.587192
## 543 0.00 0 1.587192
## 544 0.00 0 1.587192
## 545 0.50 -0.5 1.587192
## 546 0.50 -0.5 1.587192
## 547 0.50 -0.5 1.587192
## 548 0.50 -0.5 1.587192
## 549 0.50 -0.5 1.587192
## 550 0.50 -0.5 1.587192
## 551 0.50 -0.5 1.587192
## 552 0.50 -0.5 1.587192
## 553 0.00 0 1.587192
## 554 0.00 0 1.587192
## 555 0.00 0 1.587192
## 556 0.00 0 1.587192
## 557 0.00 0 1.587192
## 558 0.00 0 1.587192
## 559 0.00 0 1.587192
## 560 0.00 0 1.587192
## 561 0.00 1 1.587192
## 562 0.00 1 1.587192
## 563 0.00 1 1.587192
## 564 0.00 1 1.587192
## 565 0.00 1 1.587192
## 566 0.00 1 1.587192
## 567 0.00 1 1.587192
## 568 0.00 1 1.587192
## 569 0.00 0 1.587192
## 570 0.00 0 1.587192
## 571 0.00 0 1.587192
## 572 0.00 0 1.587192
## 573 0.00 0 1.587192
## 574 0.00 0 1.587192
## 575 0.00 0 1.587192
## 576 0.00 0 1.587192
## 577 0.00 0.25 1.587192
## 578 0.00 0.25 1.587192
## 579 0.00 0.25 1.587192
## 580 0.00 0.25 1.587192
## 581 0.00 0.25 1.587192
## 582 0.00 0.25 1.587192
## 583 0.00 0.25 1.587192
## 584 0.00 0.25 1.587192
## 585 0.00 0 1.587192
## 586 0.00 0 1.587192
## 587 0.00 0 1.587192
## 588 0.00 0 1.587192
## 589 0.00 0 1.587192
## 590 0.00 0 1.587192
## 591 0.00 0 1.587192
## 592 0.00 0 1.587192
## 593 0.00 0.5 1.587192
## 594 0.00 0.5 1.587192
## 595 0.00 0.5 1.587192
## 596 0.00 0.5 1.587192
## 597 0.00 0.5 1.587192
## 598 0.00 0.5 1.587192
## 599 0.00 0.5 1.587192
## 600 0.00 0.5 1.587192
## 601 0.00 1 1.587192
## 602 0.00 1 1.587192
## 603 0.00 1 1.587192
## 604 0.00 1 1.587192
## 605 0.00 1 1.587192
## 606 0.00 1 1.587192
## 607 0.00 1 1.587192
## 608 0.00 1 1.587192
## 609 0.25 0.25 1.587192
## 610 0.25 0.25 1.587192
## 611 0.25 0.25 1.587192
## 612 0.25 0.25 1.587192
## 613 0.25 0.25 1.587192
## 614 0.25 0.25 1.587192
## 615 0.25 0.25 1.587192
## 616 0.25 0.25 1.587192
## 617 0.00 0.5 1.587192
## 618 0.00 0.5 1.587192
## 619 0.00 0.5 1.587192
## 620 0.00 0.5 1.587192
## 621 0.00 0.5 1.587192
## 622 0.00 0.5 1.587192
## 623 0.00 0.5 1.587192
## 624 0.00 0.5 1.587192
## 625 1.00 -0.75 1.587192
## 626 1.00 -0.75 1.587192
## 627 1.00 -0.75 1.587192
## 628 1.00 -0.75 1.587192
## 629 1.00 -0.75 1.587192
## 630 1.00 -0.75 1.587192
## 631 1.00 -0.75 1.587192
## 632 1.00 -0.75 1.587192
## 633 0.25 0.25 1.587192
## 634 0.25 0.25 1.587192
## 635 0.25 0.25 1.587192
## 636 0.25 0.25 1.587192
## 637 0.25 0.25 1.587192
## 638 0.25 0.25 1.587192
## 639 0.25 0.25 1.587192
## 640 0.25 0.25 1.587192
## 641 0.00 0 1.587192
## 642 0.00 0 1.587192
## 643 0.00 0 1.587192
## 644 0.00 0 1.587192
## 645 0.00 0 1.587192
## 646 0.00 0 1.587192
## 647 0.00 0 1.587192
## 648 0.00 0 1.587192
## 649 0.50 0 1.587192
## 650 0.50 0 1.587192
## 651 0.50 0 1.587192
## 652 0.50 0 1.587192
## 653 0.50 0 1.587192
## 654 0.50 0 1.587192
## 655 0.50 0 1.587192
## 656 0.50 0 1.587192
## 657 1.00 -1 1.587192
## 658 1.00 -1 1.587192
## 659 1.00 -1 1.587192
## 660 1.00 -1 1.587192
## 661 1.00 -1 1.587192
## 662 1.00 -1 1.587192
## 663 1.00 -1 1.587192
## 664 1.00 -1 1.587192
## 665 1.00 -1 1.587192
## 666 1.00 -1 1.587192
## 667 1.00 -1 1.587192
## 668 1.00 -1 1.587192
## 669 1.00 -1 1.587192
## 670 1.00 -1 1.587192
## 671 1.00 -1 1.587192
## 672 1.00 -1 1.587192
## 673 0.00 0.5 1.587192
## 674 0.00 0.5 1.587192
## 675 0.00 0.5 1.587192
## 676 0.00 0.5 1.587192
## 677 0.00 0.5 1.587192
## 678 0.00 0.5 1.587192
## 679 0.00 0.5 1.587192
## 680 0.00 0.5 1.587192
## 681 1.00 -1 1.587192
## 682 1.00 -1 1.587192
## 683 1.00 -1 1.587192
## 684 1.00 -1 1.587192
## 685 1.00 -1 1.587192
## 686 1.00 -1 1.587192
## 687 1.00 -1 1.587192
## 688 1.00 -1 1.587192
## 689 0.00 1 1.587192
## 690 0.00 1 1.587192
## 691 0.00 1 1.587192
## 692 0.00 1 1.587192
## 693 0.00 1 1.587192
## 694 0.00 1 1.587192
## 695 0.00 1 1.587192
## 696 0.00 1 1.587192
## 697 0.50 -0.25 1.587192
## 698 0.50 -0.25 1.587192
## 699 0.50 -0.25 1.587192
## 700 0.50 -0.25 1.587192
## 701 0.50 -0.25 1.587192
## 702 0.50 -0.25 1.587192
## 703 0.50 -0.25 1.587192
## 704 0.50 -0.25 1.587192
## 705 0.25 0.75 1.587192
## 706 0.25 0.75 1.587192
## 707 0.25 0.75 1.587192
## 708 0.25 0.75 1.587192
## 709 0.25 0.75 1.587192
## 710 0.25 0.75 1.587192
## 711 0.25 0.75 1.587192
## 712 0.25 0.75 1.587192
## 713 0.25 0.75 1.587192
## 714 0.25 0.75 1.587192
## 715 0.25 0.75 1.587192
## 716 0.25 0.75 1.587192
## 717 0.25 0.75 1.587192
## 718 0.25 0.75 1.587192
## 719 0.25 0.75 1.587192
## 720 0.25 0.75 1.587192
## 721 0.25 0.75 1.587192
## 722 0.25 0.75 1.587192
## 723 0.25 0.75 1.587192
## 724 0.25 0.75 1.587192
## 725 0.25 0.75 1.587192
## 726 0.25 0.75 1.587192
## 727 0.25 0.75 1.587192
## 728 0.25 0.75 1.587192
## 729 0.25 0.75 1.587192
## 730 0.25 0.75 1.587192
## 731 0.25 0.75 1.587192
## 732 0.25 0.75 1.587192
## 733 0.25 0.75 1.587192
## 734 0.25 0.75 1.587192
## 735 0.25 0.75 1.587192
## 736 0.25 0.75 1.587192
## 737 0.50 -0.25 1.587192
## 738 0.50 -0.25 1.587192
## 739 0.50 -0.25 1.587192
## 740 0.50 -0.25 1.587192
## 741 0.50 -0.25 1.587192
## 742 0.50 -0.25 1.587192
## 743 0.50 -0.25 1.587192
## 744 0.50 -0.25 1.587192
## 745 0.50 -0.5 1.587192
## 746 0.50 -0.5 1.587192
## 747 0.50 -0.5 1.587192
## 748 0.50 -0.5 1.587192
## 749 0.50 -0.5 1.587192
## 750 0.50 -0.5 1.587192
## 751 0.50 -0.5 1.587192
## 752 0.50 -0.5 1.587192
## 753 1.00 -1 1.587192
## 754 1.00 -1 1.587192
## 755 1.00 -1 1.587192
## 756 1.00 -1 1.587192
## 757 1.00 -1 1.587192
## 758 1.00 -1 1.587192
## 759 1.00 -1 1.587192
## 760 1.00 -1 1.587192
## 761 0.50 -0.5 1.587192
## 762 0.50 -0.5 1.587192
## 763 0.50 -0.5 1.587192
## 764 0.50 -0.5 1.587192
## 765 0.50 -0.5 1.587192
## 766 0.50 -0.5 1.587192
## 767 0.50 -0.5 1.587192
## 768 0.50 -0.5 1.587192
## 769 0.00 0.5 1.587192
## 770 0.00 0.5 1.587192
## 771 0.00 0.5 1.587192
## 772 0.00 0.5 1.587192
## 773 0.00 0.5 1.587192
## 774 0.00 0.5 1.587192
## 775 0.00 0.5 1.587192
## 776 0.00 0.5 1.587192
## 777 0.25 0.75 1.587192
## 778 0.25 0.75 1.587192
## 779 0.25 0.75 1.587192
## 780 0.25 0.75 1.587192
## 781 0.25 0.75 1.587192
## 782 0.25 0.75 1.587192
## 783 0.25 0.75 1.587192
## 784 0.25 0.75 1.587192
## 785 1.00 -1 1.587192
## 786 1.00 -1 1.587192
## 787 1.00 -1 1.587192
## 788 1.00 -1 1.587192
## 789 1.00 -1 1.587192
## 790 1.00 -1 1.587192
## 791 1.00 -1 1.587192
## 792 1.00 -1 1.587192
## 793 0.25 -0.25 1.587192
## 794 0.25 -0.25 1.587192
## 795 0.25 -0.25 1.587192
## 796 0.25 -0.25 1.587192
## 797 0.25 -0.25 1.587192
## 798 0.25 -0.25 1.587192
## 799 0.25 -0.25 1.587192
## 800 0.25 -0.25 1.587192
## 801 0.50 0 1.587192
## 802 0.50 0 1.587192
## 803 0.50 0 1.587192
## 804 0.50 0 1.587192
## 805 0.50 0 1.587192
## 806 0.50 0 1.587192
## 807 0.50 0 1.587192
## 808 0.50 0 1.587192
## 809 0.50 0.5 1.587192
## 810 0.50 0.5 1.587192
## 811 0.50 0.5 1.587192
## 812 0.50 0.5 1.587192
## 813 0.50 0.5 1.587192
## 814 0.50 0.5 1.587192
## 815 0.50 0.5 1.587192
## 816 0.50 0.5 1.587192
## 817 1.00 -0.75 1.587192
## 818 1.00 -0.75 1.587192
## 819 1.00 -0.75 1.587192
## 820 1.00 -0.75 1.587192
## 821 1.00 -0.75 1.587192
## 822 1.00 -0.75 1.587192
## 823 1.00 -0.75 1.587192
## 824 1.00 -0.75 1.587192
## 825 1.00 -0.75 1.587192
## 826 1.00 -0.75 1.587192
## 827 1.00 -0.75 1.587192
## 828 1.00 -0.75 1.587192
## 829 1.00 -0.75 1.587192
## 830 1.00 -0.75 1.587192
## 831 1.00 -0.75 1.587192
## 832 1.00 -0.75 1.587192
## 833 0.25 0.25 1.587192
## 834 0.25 0.25 1.587192
## 835 0.25 0.25 1.587192
## 836 0.25 0.25 1.587192
## 837 0.25 0.25 1.587192
## 838 0.25 0.25 1.587192
## 839 0.25 0.25 1.587192
## 840 0.25 0.25 1.587192
## 841 0.00 0 1.587192
## 842 0.00 0 1.587192
## 843 0.00 0 1.587192
## 844 0.00 0 1.587192
## 845 0.00 0 1.587192
## 846 0.00 0 1.587192
## 847 0.00 0 1.587192
## 848 0.00 0 1.587192
## 849 0.25 -0.25 1.587192
## 850 0.25 -0.25 1.587192
## 851 0.25 -0.25 1.587192
## 852 0.25 -0.25 1.587192
## 853 0.25 -0.25 1.587192
## 854 0.25 -0.25 1.587192
## 855 0.25 -0.25 1.587192
## 856 0.25 -0.25 1.587192
## 857 0.00 0.5 1.587192
## 858 0.00 0.5 1.587192
## 859 0.00 0.5 1.587192
## 860 0.00 0.5 1.587192
## 861 0.00 0.5 1.587192
## 862 0.00 0.5 1.587192
## 863 0.00 0.5 1.587192
## 864 0.00 0.5 1.587192
## 865 0.00 0.25 1.587192
## 866 0.00 0.25 1.587192
## 867 0.00 0.25 1.587192
## 868 0.00 0.25 1.587192
## 869 0.00 0.25 1.587192
## 870 0.00 0.25 1.587192
## 871 0.00 0.25 1.587192
## 872 0.00 0.25 1.587192
## 873 0.00 0.5 1.587192
## 874 0.00 0.5 1.587192
## 875 0.00 0.5 1.587192
## 876 0.00 0.5 1.587192
## 877 0.00 0.5 1.587192
## 878 0.00 0.5 1.587192
## 879 0.00 0.5 1.587192
## 880 0.00 0.5 1.587192
## 881 0.25 0.75 1.587192
## 882 0.25 0.75 1.587192
## 883 0.25 0.75 1.587192
## 884 0.25 0.75 1.587192
## 885 0.25 0.75 1.587192
## 886 0.25 0.75 1.587192
## 887 0.25 0.75 1.587192
## 888 0.25 0.75 1.587192
## 889 0.25 0.75 1.587192
## 890 0.25 0.75 1.587192
## 891 0.25 0.75 1.587192
## 892 0.25 0.75 1.587192
## 893 0.25 0.75 1.587192
## 894 0.25 0.75 1.587192
## 895 0.25 0.75 1.587192
## 896 0.25 0.75 1.587192
## 897 0.25 0.75 1.587192
## 898 0.25 0.75 1.587192
## 899 0.25 0.75 1.587192
## 900 0.25 0.75 1.587192
## 901 0.25 0.75 1.587192
## 902 0.25 0.75 1.587192
## 903 0.25 0.75 1.587192
## 904 0.25 0.75 1.587192
## 905 0.25 0.75 1.587192
## 906 0.25 0.75 1.587192
## 907 0.25 0.75 1.587192
## 908 0.25 0.75 1.587192
## 909 0.25 0.75 1.587192
## 910 0.25 0.75 1.587192
## 911 0.25 0.75 1.587192
## 912 0.25 0.75 1.587192
## 913 1.00 0 1.236412
## 914 1.00 0 1.236412
## 915 1.00 0 1.236412
## 916 1.00 0 1.236412
## 917 1.00 0 1.236412
## 918 0.25 -0.25 1.236412
## 919 0.25 -0.25 1.236412
## 920 0.25 -0.25 1.236412
## 921 0.25 -0.25 1.236412
## 922 0.25 -0.25 1.236412
## 923 0.50 0 1.236412
## 924 0.50 0 1.236412
## 925 0.50 0 1.236412
## 926 0.50 0 1.236412
## 927 0.50 0 1.236412
## 928 0.25 -0.25 1.236412
## 929 0.25 -0.25 1.236412
## 930 0.25 -0.25 1.236412
## 931 0.25 -0.25 1.236412
## 932 0.25 -0.25 1.236412
## 933 0.00 0 1.236412
## 934 0.00 0 1.236412
## 935 0.00 0 1.236412
## 936 0.00 0 1.236412
## 937 0.00 0 1.236412
## 938 0.00 0 1.236412
## 939 0.00 0 1.236412
## 940 0.00 0 1.236412
## 941 0.00 0 1.236412
## 942 0.00 0 1.236412
## 943 1.00 -1 1.236412
## 944 1.00 -1 1.236412
## 945 1.00 -1 1.236412
## 946 1.00 -1 1.236412
## 947 1.00 -1 1.236412
## 948 0.00 1 1.236412
## 949 0.00 1 1.236412
## 950 0.00 1 1.236412
## 951 0.00 1 1.236412
## 952 0.00 1 1.236412
## 953 0.00 0 1.236412
## 954 0.00 0 1.236412
## 955 0.00 0 1.236412
## 956 0.00 0 1.236412
## 957 0.00 0 1.236412
## 958 0.00 0 1.236412
## 959 0.00 0 1.236412
## 960 0.00 0 1.236412
## 961 0.00 0 1.236412
## 962 0.00 0 1.236412
## 963 0.00 1 1.236412
## 964 0.00 1 1.236412
## 965 0.00 1 1.236412
## 966 0.00 1 1.236412
## 967 0.00 1 1.236412
## 968 0.00 0.5 1.236412
## 969 0.00 0.5 1.236412
## 970 0.00 0.5 1.236412
## 971 0.00 0.5 1.236412
## 972 0.00 0.5 1.236412
## 973 0.25 0 1.236412
## 974 0.25 0 1.236412
## 975 0.25 0 1.236412
## 976 0.25 0 1.236412
## 977 0.25 0 1.236412
## 978 0.00 1 1.236412
## 979 0.00 1 1.236412
## 980 0.00 1 1.236412
## 981 0.00 1 1.236412
## 982 0.00 1 1.236412
## 983 1.00 -0.75 1.236412
## 984 1.00 -0.75 1.236412
## 985 1.00 -0.75 1.236412
## 986 1.00 -0.75 1.236412
## 987 1.00 -0.75 1.236412
## 988 1.00 -0.75 1.236412
## 989 1.00 -0.75 1.236412
## 990 1.00 -0.75 1.236412
## 991 1.00 -0.75 1.236412
## 992 1.00 -0.75 1.236412
## 993 0.25 0 1.236412
## 994 0.25 0 1.236412
## 995 0.25 0 1.236412
## 996 0.25 0 1.236412
## 997 0.25 0 1.236412
## 998 0.50 0 1.236412
## 999 0.50 0 1.236412
## 1000 0.50 0 1.236412
## 1001 0.50 0 1.236412
## 1002 0.50 0 1.236412
## 1003 0.50 -0.5 1.236412
## 1004 0.50 -0.5 1.236412
## 1005 0.50 -0.5 1.236412
## 1006 0.50 -0.5 1.236412
## 1007 0.50 -0.5 1.236412
## 1008 0.00 0 1.236412
## 1009 0.00 0 1.236412
## 1010 0.00 0 1.236412
## 1011 0.00 0 1.236412
## 1012 0.00 0 1.236412
## 1013 0.00 0 1.236412
## 1014 0.00 0 1.236412
## 1015 0.00 0 1.236412
## 1016 0.00 0 1.236412
## 1017 0.00 0 1.236412
## 1018 0.00 1 1.236412
## 1019 0.00 1 1.236412
## 1020 0.00 1 1.236412
## 1021 0.00 1 1.236412
## 1022 0.00 1 1.236412
## 1023 0.00 1 1.236412
## 1024 0.00 1 1.236412
## 1025 0.00 1 1.236412
## 1026 0.00 1 1.236412
## 1027 0.00 1 1.236412
## 1028 0.00 0.5 1.236412
## 1029 0.00 0.5 1.236412
## 1030 0.00 0.5 1.236412
## 1031 0.00 0.5 1.236412
## 1032 0.00 0.5 1.236412
## 1033 0.50 -0.5 1.236412
## 1034 0.50 -0.5 1.236412
## 1035 0.50 -0.5 1.236412
## 1036 0.50 -0.5 1.236412
## 1037 0.50 -0.5 1.236412
## 1038 0.00 0.5 1.236412
## 1039 0.00 0.5 1.236412
## 1040 0.00 0.5 1.236412
## 1041 0.00 0.5 1.236412
## 1042 0.00 0.5 1.236412
## 1043 0.00 0 1.236412
## 1044 0.00 0 1.236412
## 1045 0.00 0 1.236412
## 1046 0.00 0 1.236412
## 1047 0.00 0 1.236412
## 1048 0.00 0 1.236412
## 1049 0.00 0 1.236412
## 1050 0.00 0 1.236412
## 1051 0.00 0 1.236412
## 1052 0.00 0 1.236412
## 1053 1.00 -1 1.236412
## 1054 1.00 -1 1.236412
## 1055 1.00 -1 1.236412
## 1056 1.00 -1 1.236412
## 1057 1.00 -1 1.236412
## 1058 0.50 -0.5 1.236412
## 1059 0.50 -0.5 1.236412
## 1060 0.50 -0.5 1.236412
## 1061 0.50 -0.5 1.236412
## 1062 0.50 -0.5 1.236412
## 1063 0.00 1 1.236412
## 1064 0.00 1 1.236412
## 1065 0.00 1 1.236412
## 1066 0.00 1 1.236412
## 1067 0.00 1 1.236412
## 1068 0.50 -0.25 1.236412
## 1069 0.50 -0.25 1.236412
## 1070 0.50 -0.25 1.236412
## 1071 0.50 -0.25 1.236412
## 1072 0.50 -0.25 1.236412
## 1073 1.00 0 1.236412
## 1074 1.00 0 1.236412
## 1075 1.00 0 1.236412
## 1076 1.00 0 1.236412
## 1077 1.00 0 1.236412
## 1078 0.00 0 1.236412
## 1079 0.00 0 1.236412
## 1080 0.00 0 1.236412
## 1081 0.00 0 1.236412
## 1082 0.00 0 1.236412
## 1083 0.00 0 1.236412
## 1084 0.00 0 1.236412
## 1085 0.00 0 1.236412
## 1086 0.00 0 1.236412
## 1087 0.00 0 1.236412
## 1088 1.00 -1 1.236412
## 1089 1.00 -1 1.236412
## 1090 1.00 -1 1.236412
## 1091 1.00 -1 1.236412
## 1092 1.00 -1 1.236412
## 1093 0.50 -0.25 1.236412
## 1094 0.50 -0.25 1.236412
## 1095 0.50 -0.25 1.236412
## 1096 0.50 -0.25 1.236412
## 1097 0.50 -0.25 1.236412
## 1098 0.00 0 1.236412
## 1099 0.00 0 1.236412
## 1100 0.00 0 1.236412
## 1101 0.00 0 1.236412
## 1102 0.00 0 1.236412
## 1103 0.00 0 1.236412
## 1104 0.00 0 1.236412
## 1105 0.00 0 1.236412
## 1106 0.00 0 1.236412
## 1107 0.00 0 1.236412
## 1108 0.00 0 1.236412
## 1109 0.00 0 1.236412
## 1110 0.00 0 1.236412
## 1111 0.00 0 1.236412
## 1112 0.00 0 1.236412
## 1113 0.00 0 1.236412
## 1114 0.00 0 1.236412
## 1115 0.00 0 1.236412
## 1116 0.00 0 1.236412
## 1117 0.00 0 1.236412
## 1118 0.00 0.25 1.236412
## 1119 0.00 0.25 1.236412
## 1120 0.00 0.25 1.236412
## 1121 0.00 0.25 1.236412
## 1122 0.00 0.25 1.236412
## 1123 0.00 0 1.236412
## 1124 0.00 0 1.236412
## 1125 0.00 0 1.236412
## 1126 0.00 0 1.236412
## 1127 0.00 0 1.236412
## 1128 0.00 1 1.236412
## 1129 0.00 1 1.236412
## 1130 0.00 1 1.236412
## 1131 0.00 1 1.236412
## 1132 0.00 1 1.236412
## 1133 0.00 0.5 1.236412
## 1134 0.00 0.5 1.236412
## 1135 0.00 0.5 1.236412
## 1136 0.00 0.5 1.236412
## 1137 0.00 0.5 1.236412
## 1138 0.50 -0.25 1.236412
## 1139 0.50 -0.25 1.236412
## 1140 0.50 -0.25 1.236412
## 1141 0.50 -0.25 1.236412
## 1142 0.50 -0.25 1.236412
## 1143 0.25 -0.25 1.236412
## 1144 0.25 -0.25 1.236412
## 1145 0.25 -0.25 1.236412
## 1146 0.25 -0.25 1.236412
## 1147 0.25 -0.25 1.236412
## 1148 0.00 0 1.236412
## 1149 0.00 0 1.236412
## 1150 0.00 0 1.236412
## 1151 0.00 0 1.236412
## 1152 0.00 0 1.236412
## 1153 0.50 -0.5 1.236412
## 1154 0.50 -0.5 1.236412
## 1155 0.50 -0.5 1.236412
## 1156 0.50 -0.5 1.236412
## 1157 0.50 -0.5 1.236412
## 1158 0.00 0 1.236412
## 1159 0.00 0 1.236412
## 1160 0.00 0 1.236412
## 1161 0.00 0 1.236412
## 1162 0.00 0 1.236412
## 1163 0.00 0 1.236412
## 1164 0.00 0 1.236412
## 1165 0.00 0 1.236412
## 1166 0.00 0 1.236412
## 1167 0.00 0 1.236412
## 1168 0.00 0 1.236412
## 1169 0.00 0 1.236412
## 1170 0.00 0 1.236412
## 1171 0.00 0 1.236412
## 1172 0.00 0 1.236412
## 1173 0.00 0 1.236412
## 1174 0.00 0 1.236412
## 1175 0.00 0 1.236412
## 1176 0.00 0 1.236412
## 1177 0.00 0 1.236412
## 1178 0.25 0.25 1.236412
## 1179 0.25 0.25 1.236412
## 1180 0.25 0.25 1.236412
## 1181 0.25 0.25 1.236412
## 1182 0.25 0.25 1.236412
## 1183 0.00 1 1.236412
## 1184 0.00 1 1.236412
## 1185 0.00 1 1.236412
## 1186 0.00 1 1.236412
## 1187 0.00 1 1.236412
## 1188 1.00 -0.5 1.236412
## 1189 1.00 -0.5 1.236412
## 1190 1.00 -0.5 1.236412
## 1191 1.00 -0.5 1.236412
## 1192 1.00 -0.5 1.236412
## 1193 0.25 0.25 1.236412
## 1194 0.25 0.25 1.236412
## 1195 0.25 0.25 1.236412
## 1196 0.25 0.25 1.236412
## 1197 0.25 0.25 1.236412
## 1198 0.00 0 1.236412
## 1199 0.00 0 1.236412
## 1200 0.00 0 1.236412
## 1201 0.00 0 1.236412
## 1202 0.00 0 1.236412
## 1203 0.00 0 1.236412
## 1204 0.00 0 1.236412
## 1205 0.00 0 1.236412
## 1206 0.00 0 1.236412
## 1207 0.00 0 1.236412
## 1208 0.00 0 1.236412
## 1209 0.00 0 1.236412
## 1210 0.00 0 1.236412
## 1211 0.00 0 1.236412
## 1212 0.00 0 1.236412
## 1213 0.00 1 1.236412
## 1214 0.00 1 1.236412
## 1215 0.00 1 1.236412
## 1216 0.00 1 1.236412
## 1217 0.00 1 1.236412
## 1218 0.00 0 1.236412
## 1219 0.00 0 1.236412
## 1220 0.00 0 1.236412
## 1221 0.00 0 1.236412
## 1222 0.00 0 1.236412
## 1223 0.00 0 1.236412
## 1224 0.00 0 1.236412
## 1225 0.00 0 1.236412
## 1226 0.00 0 1.236412
## 1227 0.00 0 1.236412
## 1228 1.00 -0.75 1.236412
## 1229 1.00 -0.75 1.236412
## 1230 1.00 -0.75 1.236412
## 1231 1.00 -0.75 1.236412
## 1232 1.00 -0.75 1.236412
## 1233 0.25 0 1.236412
## 1234 0.25 0 1.236412
## 1235 0.25 0 1.236412
## 1236 0.25 0 1.236412
## 1237 0.25 0 1.236412
## 1238 0.00 1 1.236412
## 1239 0.00 1 1.236412
## 1240 0.00 1 1.236412
## 1241 0.00 1 1.236412
## 1242 0.00 1 1.236412
## 1243 1.00 -1 1.236412
## 1244 1.00 -1 1.236412
## 1245 1.00 -1 1.236412
## 1246 1.00 -1 1.236412
## 1247 1.00 -1 1.236412
## 1248 1.00 0 1.236412
## 1249 1.00 0 1.236412
## 1250 1.00 0 1.236412
## 1251 1.00 0 1.236412
## 1252 1.00 0 1.236412
## 1253 0.00 0 1.236412
## 1254 0.00 0 1.236412
## 1255 0.00 0 1.236412
## 1256 0.00 0 1.236412
## 1257 0.00 0 1.236412
## 1258 0.00 0 1.236412
## 1259 0.00 0 1.236412
## 1260 0.00 0 1.236412
## 1261 0.00 0 1.236412
## 1262 0.00 0 1.236412
## 1263 0.50 -0.5 1.236412
## 1264 0.50 -0.5 1.236412
## 1265 0.50 -0.5 1.236412
## 1266 0.50 -0.5 1.236412
## 1267 0.50 -0.5 1.236412
## 1268 0.50 -0.5 1.236412
## 1269 0.50 -0.5 1.236412
## 1270 0.50 -0.5 1.236412
## 1271 0.50 -0.5 1.236412
## 1272 0.50 -0.5 1.236412
## 1273 0.25 0.75 1.236412
## 1274 0.25 0.75 1.236412
## 1275 0.25 0.75 1.236412
## 1276 0.25 0.75 1.236412
## 1277 0.25 0.75 1.236412
## 1278 0.00 0 1.236412
## 1279 0.00 0 1.236412
## 1280 0.00 0 1.236412
## 1281 0.00 0 1.236412
## 1282 0.00 0 1.236412
## 1283 0.25 0.75 1.236412
## 1284 0.25 0.75 1.236412
## 1285 0.25 0.75 1.236412
## 1286 0.25 0.75 1.236412
## 1287 0.25 0.75 1.236412
## 1288 0.25 0 1.236412
## 1289 0.25 0 1.236412
## 1290 0.25 0 1.236412
## 1291 0.25 0 1.236412
## 1292 0.25 0 1.236412
## 1293 0.50 -0.25 1.236412
## 1294 0.50 -0.25 1.236412
## 1295 0.50 -0.25 1.236412
## 1296 0.50 -0.25 1.236412
## 1297 0.50 -0.25 1.236412
## 1298 0.50 -0.5 1.236412
## 1299 0.50 -0.5 1.236412
## 1300 0.50 -0.5 1.236412
## 1301 0.50 -0.5 1.236412
## 1302 0.50 -0.5 1.236412
## 1303 0.00 0 1.236412
## 1304 0.00 0 1.236412
## 1305 0.00 0 1.236412
## 1306 0.00 0 1.236412
## 1307 0.00 0 1.236412
## 1308 0.00 0.5 1.236412
## 1309 0.00 0.5 1.236412
## 1310 0.00 0.5 1.236412
## 1311 0.00 0.5 1.236412
## 1312 0.00 0.5 1.236412
## 1313 1.00 -0.5 1.236412
## 1314 1.00 -0.5 1.236412
## 1315 1.00 -0.5 1.236412
## 1316 1.00 -0.5 1.236412
## 1317 1.00 -0.5 1.236412
## 1318 0.50 -0.5 1.236412
## 1319 0.50 -0.5 1.236412
## 1320 0.50 -0.5 1.236412
## 1321 0.50 -0.5 1.236412
## 1322 0.50 -0.5 1.236412
## 1323 1.00 -0.5 1.236412
## 1324 1.00 -0.5 1.236412
## 1325 1.00 -0.5 1.236412
## 1326 1.00 -0.5 1.236412
## 1327 1.00 -0.5 1.236412
## 1328 0.00 1 1.236412
## 1329 0.00 1 1.236412
## 1330 0.00 1 1.236412
## 1331 0.00 1 1.236412
## 1332 0.00 1 1.236412
## 1333 0.50 -0.5 1.236412
## 1334 0.50 -0.5 1.236412
## 1335 0.50 -0.5 1.236412
## 1336 0.50 -0.5 1.236412
## 1337 0.50 -0.5 1.236412
## 1338 0.00 0.25 1.236412
## 1339 0.00 0.25 1.236412
## 1340 0.00 0.25 1.236412
## 1341 0.00 0.25 1.236412
## 1342 0.00 0.25 1.236412
## 1343 1.00 -1 1.236412
## 1344 1.00 -1 1.236412
## 1345 1.00 -1 1.236412
## 1346 1.00 -1 1.236412
## 1347 1.00 -1 1.236412
## 1348 0.50 -0.5 1.236412
## 1349 0.50 -0.5 1.236412
## 1350 0.50 -0.5 1.236412
## 1351 0.50 -0.5 1.236412
## 1352 0.50 -0.5 1.236412
## 1353 0.00 0 1.236412
## 1354 0.00 0 1.236412
## 1355 0.00 0 1.236412
## 1356 0.00 0 1.236412
## 1357 0.00 0 1.236412
## 1358 0.50 -0.5 1.236412
## 1359 0.50 -0.5 1.236412
## 1360 0.50 -0.5 1.236412
## 1361 0.50 -0.5 1.236412
## 1362 0.50 -0.5 1.236412
## 1363 0.00 0.25 1.236412
## 1364 0.00 0.25 1.236412
## 1365 0.00 0.25 1.236412
## 1366 0.00 0.25 1.236412
## 1367 0.00 0.25 1.236412
## 1368 0.00 1 1.236412
## 1369 0.00 1 1.236412
## 1370 0.00 1 1.236412
## 1371 0.00 1 1.236412
## 1372 0.00 1 1.236412
## 1373 0.00 1 1.236412
## 1374 0.00 1 1.236412
## 1375 0.00 1 1.236412
## 1376 0.00 1 1.236412
## 1377 0.00 1 1.236412
## 1378 0.25 0 1.236412
## 1379 0.25 0 1.236412
## 1380 0.25 0 1.236412
## 1381 0.25 0 1.236412
## 1382 0.25 0 1.236412
## 1383 0.50 -0.5 1.236412
## 1384 0.50 -0.5 1.236412
## 1385 0.50 -0.5 1.236412
## 1386 0.50 -0.5 1.236412
## 1387 0.50 -0.5 1.236412
## 1388 0.00 0 1.236412
## 1389 0.00 0 1.236412
## 1390 0.00 0 1.236412
## 1391 0.00 0 1.236412
## 1392 0.00 0 1.236412
## 1393 0.00 0 1.236412
## 1394 0.00 0 1.236412
## 1395 0.00 0 1.236412
## 1396 0.00 0 1.236412
## 1397 0.00 0 1.236412
## 1398 0.25 0 1.236412
## 1399 0.25 0 1.236412
## 1400 0.25 0 1.236412
## 1401 0.25 0 1.236412
## 1402 0.25 0 1.236412
## 1403 0.50 -0.25 1.236412
## 1404 0.50 -0.25 1.236412
## 1405 0.50 -0.25 1.236412
## 1406 0.50 -0.25 1.236412
## 1407 0.50 -0.25 1.236412
## 1408 1.00 -1 1.236412
## 1409 1.00 -1 1.236412
## 1410 1.00 -1 1.236412
## 1411 1.00 -1 1.236412
## 1412 1.00 -1 1.236412
## 1413 0.00 0.5 1.236412
## 1414 0.00 0.5 1.236412
## 1415 0.00 0.5 1.236412
## 1416 0.00 0.5 1.236412
## 1417 0.00 0.5 1.236412
## 1418 0.25 0.25 1.236412
## 1419 0.25 0.25 1.236412
## 1420 0.25 0.25 1.236412
## 1421 0.25 0.25 1.236412
## 1422 0.25 0.25 1.236412
## 1423 0.25 0.75 1.236412
## 1424 0.25 0.75 1.236412
## 1425 0.25 0.75 1.236412
## 1426 0.25 0.75 1.236412
## 1427 0.25 0.75 1.236412
## 1428 0.25 0.75 1.236412
## 1429 0.25 0.75 1.236412
## 1430 0.25 0.75 1.236412
## 1431 0.25 0.75 1.236412
## 1432 0.25 0.75 1.236412
## 1433 0.50 -0.5 1.236412
## 1434 0.50 -0.5 1.236412
## 1435 0.50 -0.5 1.236412
## 1436 0.50 -0.5 1.236412
## 1437 0.50 -0.5 1.236412
## 1438 0.00 0 1.236412
## 1439 0.00 0 1.236412
## 1440 0.00 0 1.236412
## 1441 0.00 0 1.236412
## 1442 0.00 0 1.236412
## 1443 0.00 0 1.236412
## 1444 0.00 0 1.236412
## 1445 0.00 0 1.236412
## 1446 0.00 0 1.236412
## 1447 0.00 0 1.236412
## 1448 0.00 0 1.236412
## 1449 0.00 0 1.236412
## 1450 0.00 0 1.236412
## 1451 0.00 0 1.236412
## 1452 0.00 0 1.236412
## 1453 0.00 0 1.236412
## 1454 0.00 0 1.236412
## 1455 0.00 0 1.236412
## 1456 0.00 0 1.236412
## 1457 0.00 0 1.236412
## 1458 1.00 -1 1.236412
## 1459 1.00 -1 1.236412
## 1460 1.00 -1 1.236412
## 1461 1.00 -1 1.236412
## 1462 1.00 -1 1.236412
## 1463 1.00 0 1.236412
## 1464 1.00 0 1.236412
## 1465 1.00 0 1.236412
## 1466 1.00 0 1.236412
## 1467 1.00 0 1.236412
## 1468 0.00 0.25 1.236412
## 1469 0.00 0.25 1.236412
## 1470 0.00 0.25 1.236412
## 1471 0.00 0.25 1.236412
## 1472 0.00 0.25 1.236412
## 1473 0.00 0.5 1.236412
## 1474 0.00 0.5 1.236412
## 1475 0.00 0.5 1.236412
## 1476 0.00 0.5 1.236412
## 1477 0.00 0.5 1.236412
## 1478 1.00 -1 1.236412
## 1479 1.00 -1 1.236412
## 1480 1.00 -1 1.236412
## 1481 1.00 -1 1.236412
## 1482 1.00 -1 1.236412
## 1483 0.50 -0.5 1.236412
## 1484 0.50 -0.5 1.236412
## 1485 0.50 -0.5 1.236412
## 1486 0.50 -0.5 1.236412
## 1487 0.50 -0.5 1.236412
## 1488 1.00 -0.75 1.236412
## 1489 1.00 -0.75 1.236412
## 1490 1.00 -0.75 1.236412
## 1491 1.00 -0.75 1.236412
## 1492 1.00 -0.75 1.236412
## 1493 0.50 -0.5 1.236412
## 1494 0.50 -0.5 1.236412
## 1495 0.50 -0.5 1.236412
## 1496 0.50 -0.5 1.236412
## 1497 0.50 -0.5 1.236412
## 1498 0.00 0 1.236412
## 1499 0.00 0 1.236412
## 1500 0.00 0 1.236412
## 1501 0.00 0 1.236412
## 1502 0.00 0 1.236412
## 1503 0.00 0 1.236412
## 1504 0.00 0 1.236412
## 1505 0.00 0 1.236412
## 1506 0.00 0 1.236412
## 1507 0.00 0 1.236412
## 1508 1.00 -1 1.236412
## 1509 1.00 -1 1.236412
## 1510 1.00 -1 1.236412
## 1511 1.00 -1 1.236412
## 1512 1.00 -1 1.236412
## 1513 0.00 0 1.236412
## 1514 0.00 0 1.236412
## 1515 0.00 0 1.236412
## 1516 0.00 0 1.236412
## 1517 0.00 0 1.236412
## 1518 0.00 0 1.236412
## 1519 0.00 0 1.236412
## 1520 0.00 0 1.236412
## 1521 0.00 0 1.236412
## 1522 0.00 0 1.236412
## 1523 0.00 0 1.236412
## 1524 0.00 0 1.236412
## 1525 0.00 0 1.236412
## 1526 0.00 0 1.236412
## 1527 0.00 0 1.236412
## 1528 0.25 0.25 1.236412
## 1529 0.25 0.25 1.236412
## 1530 0.25 0.25 1.236412
## 1531 0.25 0.25 1.236412
## 1532 0.25 0.25 1.236412
## 1533 0.00 0 1.236412
## 1534 0.00 0 1.236412
## 1535 0.00 0 1.236412
## 1536 0.00 0 1.236412
## 1537 0.00 0 1.236412
## 1538 0.00 0 1.236412
## avg_spike_count_trial_mean feedback_numeric PC107_score PC4_score
## 1 1.5322118 1 8.163190997 -4.9498046
## 2 1.5322118 1 8.163190997 -4.9498046
## 3 1.5322118 1 8.163190997 -4.9498046
## 4 1.5322118 1 8.163190997 -4.9498046
## 5 1.5322118 1 8.163190997 -4.9498046
## 6 1.5322118 1 8.163190997 -4.9498046
## 7 1.5322118 1 8.163190997 -4.9498046
## 8 1.5322118 1 8.163190997 -4.9498046
## 9 1.2828185 1 -78.817865473 -2.2270803
## 10 1.2828185 1 -78.817865473 -2.2270803
## 11 1.2828185 1 -78.817865473 -2.2270803
## 12 1.2828185 1 -78.817865473 -2.2270803
## 13 1.2828185 1 -78.817865473 -2.2270803
## 14 1.2828185 1 -78.817865473 -2.2270803
## 15 1.2828185 1 -78.817865473 -2.2270803
## 16 1.2828185 1 -78.817865473 -2.2270803
## 17 1.9495522 -1 -0.093567495 5.6571656
## 18 1.9495522 -1 -0.093567495 5.6571656
## 19 1.9495522 -1 -0.093567495 5.6571656
## 20 1.9495522 -1 -0.093567495 5.6571656
## 21 1.9495522 -1 -0.093567495 5.6571656
## 22 1.9495522 -1 -0.093567495 5.6571656
## 23 1.9495522 -1 -0.093567495 5.6571656
## 24 1.9495522 -1 -0.093567495 5.6571656
## 25 1.5117115 -1 3.659587124 -2.9362568
## 26 1.5117115 -1 3.659587124 -2.9362568
## 27 1.5117115 -1 3.659587124 -2.9362568
## 28 1.5117115 -1 3.659587124 -2.9362568
## 29 1.5117115 -1 3.659587124 -2.9362568
## 30 1.5117115 -1 3.659587124 -2.9362568
## 31 1.5117115 -1 3.659587124 -2.9362568
## 32 1.5117115 -1 3.659587124 -2.9362568
## 33 1.4678456 -1 2.071444566 -2.6508819
## 34 1.4678456 -1 2.071444566 -2.6508819
## 35 1.4678456 -1 2.071444566 -2.6508819
## 36 1.4678456 -1 2.071444566 -2.6508819
## 37 1.4678456 -1 2.071444566 -2.6508819
## 38 1.4678456 -1 2.071444566 -2.6508819
## 39 1.4678456 -1 2.071444566 -2.6508819
## 40 1.4678456 -1 2.071444566 -2.6508819
## 41 1.1012681 1 2.200675715 3.2935036
## 42 1.1012681 1 2.200675715 3.2935036
## 43 1.1012681 1 2.200675715 3.2935036
## 44 1.1012681 1 2.200675715 3.2935036
## 45 1.1012681 1 2.200675715 3.2935036
## 46 1.1012681 1 2.200675715 3.2935036
## 47 1.1012681 1 2.200675715 3.2935036
## 48 1.1012681 1 2.200675715 3.2935036
## 49 2.2128298 1 -1.704258608 -22.9618378
## 50 2.2128298 1 -1.704258608 -22.9618378
## 51 2.2128298 1 -1.704258608 -22.9618378
## 52 2.2128298 1 -1.704258608 -22.9618378
## 53 2.2128298 1 -1.704258608 -22.9618378
## 54 2.2128298 1 -1.704258608 -22.9618378
## 55 2.2128298 1 -1.704258608 -22.9618378
## 56 2.2128298 1 -1.704258608 -22.9618378
## 57 1.7004075 1 -1.199501331 -6.0359022
## 58 1.7004075 1 -1.199501331 -6.0359022
## 59 1.7004075 1 -1.199501331 -6.0359022
## 60 1.7004075 1 -1.199501331 -6.0359022
## 61 1.7004075 1 -1.199501331 -6.0359022
## 62 1.7004075 1 -1.199501331 -6.0359022
## 63 1.7004075 1 -1.199501331 -6.0359022
## 64 1.7004075 1 -1.199501331 -6.0359022
## 65 1.5704565 1 3.879710528 -2.2931182
## 66 1.5704565 1 3.879710528 -2.2931182
## 67 1.5704565 1 3.879710528 -2.2931182
## 68 1.5704565 1 3.879710528 -2.2931182
## 69 1.5704565 1 3.879710528 -2.2931182
## 70 1.5704565 1 3.879710528 -2.2931182
## 71 1.5704565 1 3.879710528 -2.2931182
## 72 1.5704565 1 3.879710528 -2.2931182
## 73 1.7709516 1 3.123052214 5.9892335
## 74 1.7709516 1 3.123052214 5.9892335
## 75 1.7709516 1 3.123052214 5.9892335
## 76 1.7709516 1 3.123052214 5.9892335
## 77 1.7709516 1 3.123052214 5.9892335
## 78 1.7709516 1 3.123052214 5.9892335
## 79 1.7709516 1 3.123052214 5.9892335
## 80 1.7709516 1 3.123052214 5.9892335
## 81 1.5452995 1 -1.402889895 11.1602280
## 82 1.5452995 1 -1.402889895 11.1602280
## 83 1.5452995 1 -1.402889895 11.1602280
## 84 1.5452995 1 -1.402889895 11.1602280
## 85 1.5452995 1 -1.402889895 11.1602280
## 86 1.5452995 1 -1.402889895 11.1602280
## 87 1.5452995 1 -1.402889895 11.1602280
## 88 1.5452995 1 -1.402889895 11.1602280
## 89 1.9359125 1 0.978642362 -7.3689096
## 90 1.9359125 1 0.978642362 -7.3689096
## 91 1.9359125 1 0.978642362 -7.3689096
## 92 1.9359125 1 0.978642362 -7.3689096
## 93 1.9359125 1 0.978642362 -7.3689096
## 94 1.9359125 1 0.978642362 -7.3689096
## 95 1.9359125 1 0.978642362 -7.3689096
## 96 1.9359125 1 0.978642362 -7.3689096
## 97 1.8962641 -1 -1.999384380 -10.7828018
## 98 1.8962641 -1 -1.999384380 -10.7828018
## 99 1.8962641 -1 -1.999384380 -10.7828018
## 100 1.8962641 -1 -1.999384380 -10.7828018
## 101 1.8962641 -1 -1.999384380 -10.7828018
## 102 1.8962641 -1 -1.999384380 -10.7828018
## 103 1.8962641 -1 -1.999384380 -10.7828018
## 104 1.8962641 -1 -1.999384380 -10.7828018
## 105 1.4884613 -1 -0.650459249 2.5785152
## 106 1.4884613 -1 -0.650459249 2.5785152
## 107 1.4884613 -1 -0.650459249 2.5785152
## 108 1.4884613 -1 -0.650459249 2.5785152
## 109 1.4884613 -1 -0.650459249 2.5785152
## 110 1.4884613 -1 -0.650459249 2.5785152
## 111 1.4884613 -1 -0.650459249 2.5785152
## 112 1.4884613 -1 -0.650459249 2.5785152
## 113 1.7502954 -1 5.067100702 6.7099155
## 114 1.7502954 -1 5.067100702 6.7099155
## 115 1.7502954 -1 5.067100702 6.7099155
## 116 1.7502954 -1 5.067100702 6.7099155
## 117 1.7502954 -1 5.067100702 6.7099155
## 118 1.7502954 -1 5.067100702 6.7099155
## 119 1.7502954 -1 5.067100702 6.7099155
## 120 1.7502954 -1 5.067100702 6.7099155
## 121 1.3920645 -1 6.763513544 -4.8311229
## 122 1.3920645 -1 6.763513544 -4.8311229
## 123 1.3920645 -1 6.763513544 -4.8311229
## 124 1.3920645 -1 6.763513544 -4.8311229
## 125 1.3920645 -1 6.763513544 -4.8311229
## 126 1.3920645 -1 6.763513544 -4.8311229
## 127 1.3920645 -1 6.763513544 -4.8311229
## 128 1.3920645 -1 6.763513544 -4.8311229
## 129 1.4274209 1 -4.296570392 0.2188383
## 130 1.4274209 1 -4.296570392 0.2188383
## 131 1.4274209 1 -4.296570392 0.2188383
## 132 1.4274209 1 -4.296570392 0.2188383
## 133 1.4274209 1 -4.296570392 0.2188383
## 134 1.4274209 1 -4.296570392 0.2188383
## 135 1.4274209 1 -4.296570392 0.2188383
## 136 1.4274209 1 -4.296570392 0.2188383
## 137 2.1294353 1 -0.976709721 48.7674514
## 138 2.1294353 1 -0.976709721 48.7674514
## 139 2.1294353 1 -0.976709721 48.7674514
## 140 2.1294353 1 -0.976709721 48.7674514
## 141 2.1294353 1 -0.976709721 48.7674514
## 142 2.1294353 1 -0.976709721 48.7674514
## 143 2.1294353 1 -0.976709721 48.7674514
## 144 2.1294353 1 -0.976709721 48.7674514
## 145 2.0565842 1 -0.869181856 -9.1291300
## 146 2.0565842 1 -0.869181856 -9.1291300
## 147 2.0565842 1 -0.869181856 -9.1291300
## 148 2.0565842 1 -0.869181856 -9.1291300
## 149 2.0565842 1 -0.869181856 -9.1291300
## 150 2.0565842 1 -0.869181856 -9.1291300
## 151 2.0565842 1 -0.869181856 -9.1291300
## 152 2.0565842 1 -0.869181856 -9.1291300
## 153 2.1075181 1 -0.150568367 -50.7156419
## 154 2.1075181 1 -0.150568367 -50.7156419
## 155 2.1075181 1 -0.150568367 -50.7156419
## 156 2.1075181 1 -0.150568367 -50.7156419
## 157 2.1075181 1 -0.150568367 -50.7156419
## 158 2.1075181 1 -0.150568367 -50.7156419
## 159 2.1075181 1 -0.150568367 -50.7156419
## 160 2.1075181 1 -0.150568367 -50.7156419
## 161 1.2427773 1 2.443539100 -3.3112370
## 162 1.2427773 1 2.443539100 -3.3112370
## 163 1.2427773 1 2.443539100 -3.3112370
## 164 1.2427773 1 2.443539100 -3.3112370
## 165 1.2427773 1 2.443539100 -3.3112370
## 166 1.2427773 1 2.443539100 -3.3112370
## 167 1.2427773 1 2.443539100 -3.3112370
## 168 1.2427773 1 2.443539100 -3.3112370
## 169 1.2480087 -1 -1.044211578 -6.0899104
## 170 1.2480087 -1 -1.044211578 -6.0899104
## 171 1.2480087 -1 -1.044211578 -6.0899104
## 172 1.2480087 -1 -1.044211578 -6.0899104
## 173 1.2480087 -1 -1.044211578 -6.0899104
## 174 1.2480087 -1 -1.044211578 -6.0899104
## 175 1.2480087 -1 -1.044211578 -6.0899104
## 176 1.2480087 -1 -1.044211578 -6.0899104
## 177 1.3323072 -1 -28.868709528 -8.9062458
## 178 1.3323072 -1 -28.868709528 -8.9062458
## 179 1.3323072 -1 -28.868709528 -8.9062458
## 180 1.3323072 -1 -28.868709528 -8.9062458
## 181 1.3323072 -1 -28.868709528 -8.9062458
## 182 1.3323072 -1 -28.868709528 -8.9062458
## 183 1.3323072 -1 -28.868709528 -8.9062458
## 184 1.3323072 -1 -28.868709528 -8.9062458
## 185 1.6878351 1 -0.753698512 -18.8004541
## 186 1.6878351 1 -0.753698512 -18.8004541
## 187 1.6878351 1 -0.753698512 -18.8004541
## 188 1.6878351 1 -0.753698512 -18.8004541
## 189 1.6878351 1 -0.753698512 -18.8004541
## 190 1.6878351 1 -0.753698512 -18.8004541
## 191 1.6878351 1 -0.753698512 -18.8004541
## 192 1.6878351 1 -0.753698512 -18.8004541
## 193 1.6995285 1 7.000967997 -6.5553378
## 194 1.6995285 1 7.000967997 -6.5553378
## 195 1.6995285 1 7.000967997 -6.5553378
## 196 1.6995285 1 7.000967997 -6.5553378
## 197 1.6995285 1 7.000967997 -6.5553378
## 198 1.6995285 1 7.000967997 -6.5553378
## 199 1.6995285 1 7.000967997 -6.5553378
## 200 1.6995285 1 7.000967997 -6.5553378
## 201 1.9886479 1 1.012557297 -9.7506520
## 202 1.9886479 1 1.012557297 -9.7506520
## 203 1.9886479 1 1.012557297 -9.7506520
## 204 1.9886479 1 1.012557297 -9.7506520
## 205 1.9886479 1 1.012557297 -9.7506520
## 206 1.9886479 1 1.012557297 -9.7506520
## 207 1.9886479 1 1.012557297 -9.7506520
## 208 1.9886479 1 1.012557297 -9.7506520
## 209 1.9617039 1 0.217578785 22.0259950
## 210 1.9617039 1 0.217578785 22.0259950
## 211 1.9617039 1 0.217578785 22.0259950
## 212 1.9617039 1 0.217578785 22.0259950
## 213 1.9617039 1 0.217578785 22.0259950
## 214 1.9617039 1 0.217578785 22.0259950
## 215 1.9617039 1 0.217578785 22.0259950
## 216 1.9617039 1 0.217578785 22.0259950
## 217 2.4332670 -1 1.194642337 31.5788072
## 218 2.4332670 -1 1.194642337 31.5788072
## 219 2.4332670 -1 1.194642337 31.5788072
## 220 2.4332670 -1 1.194642337 31.5788072
## 221 2.4332670 -1 1.194642337 31.5788072
## 222 2.4332670 -1 1.194642337 31.5788072
## 223 2.4332670 -1 1.194642337 31.5788072
## 224 2.4332670 -1 1.194642337 31.5788072
## 225 1.0651239 1 7.349524618 1.3022949
## 226 1.0651239 1 7.349524618 1.3022949
## 227 1.0651239 1 7.349524618 1.3022949
## 228 1.0651239 1 7.349524618 1.3022949
## 229 1.0651239 1 7.349524618 1.3022949
## 230 1.0651239 1 7.349524618 1.3022949
## 231 1.0651239 1 7.349524618 1.3022949
## 232 1.0651239 1 7.349524618 1.3022949
## 233 2.0314938 1 1.130878461 -12.7511870
## 234 2.0314938 1 1.130878461 -12.7511870
## 235 2.0314938 1 1.130878461 -12.7511870
## 236 2.0314938 1 1.130878461 -12.7511870
## 237 2.0314938 1 1.130878461 -12.7511870
## 238 2.0314938 1 1.130878461 -12.7511870
## 239 2.0314938 1 1.130878461 -12.7511870
## 240 2.0314938 1 1.130878461 -12.7511870
## 241 1.7686479 1 1.531560664 -10.8138422
## 242 1.7686479 1 1.531560664 -10.8138422
## 243 1.7686479 1 1.531560664 -10.8138422
## 244 1.7686479 1 1.531560664 -10.8138422
## 245 1.7686479 1 1.531560664 -10.8138422
## 246 1.7686479 1 1.531560664 -10.8138422
## 247 1.7686479 1 1.531560664 -10.8138422
## 248 1.7686479 1 1.531560664 -10.8138422
## 249 1.2957951 -1 -4.825689858 0.8540224
## 250 1.2957951 -1 -4.825689858 0.8540224
## 251 1.2957951 -1 -4.825689858 0.8540224
## 252 1.2957951 -1 -4.825689858 0.8540224
## 253 1.2957951 -1 -4.825689858 0.8540224
## 254 1.2957951 -1 -4.825689858 0.8540224
## 255 1.2957951 -1 -4.825689858 0.8540224
## 256 1.2957951 -1 -4.825689858 0.8540224
## 257 1.2710872 1 17.099609645 -2.0809482
## 258 1.2710872 1 17.099609645 -2.0809482
## 259 1.2710872 1 17.099609645 -2.0809482
## 260 1.2710872 1 17.099609645 -2.0809482
## 261 1.2710872 1 17.099609645 -2.0809482
## 262 1.2710872 1 17.099609645 -2.0809482
## 263 1.2710872 1 17.099609645 -2.0809482
## 264 1.2710872 1 17.099609645 -2.0809482
## 265 1.6644553 1 0.726547111 -10.4912192
## 266 1.6644553 1 0.726547111 -10.4912192
## 267 1.6644553 1 0.726547111 -10.4912192
## 268 1.6644553 1 0.726547111 -10.4912192
## 269 1.6644553 1 0.726547111 -10.4912192
## 270 1.6644553 1 0.726547111 -10.4912192
## 271 1.6644553 1 0.726547111 -10.4912192
## 272 1.6644553 1 0.726547111 -10.4912192
## 273 1.9369793 1 -1.618290862 -9.9351769
## 274 1.9369793 1 -1.618290862 -9.9351769
## 275 1.9369793 1 -1.618290862 -9.9351769
## 276 1.9369793 1 -1.618290862 -9.9351769
## 277 1.9369793 1 -1.618290862 -9.9351769
## 278 1.9369793 1 -1.618290862 -9.9351769
## 279 1.9369793 1 -1.618290862 -9.9351769
## 280 1.9369793 1 -1.618290862 -9.9351769
## 281 1.9622253 1 1.004810401 -3.5310714
## 282 1.9622253 1 1.004810401 -3.5310714
## 283 1.9622253 1 1.004810401 -3.5310714
## 284 1.9622253 1 1.004810401 -3.5310714
## 285 1.9622253 1 1.004810401 -3.5310714
## 286 1.9622253 1 1.004810401 -3.5310714
## 287 1.9622253 1 1.004810401 -3.5310714
## 288 1.9622253 1 1.004810401 -3.5310714
## 289 1.5742363 1 4.737802293 -17.7307175
## 290 1.5742363 1 4.737802293 -17.7307175
## 291 1.5742363 1 4.737802293 -17.7307175
## 292 1.5742363 1 4.737802293 -17.7307175
## 293 1.5742363 1 4.737802293 -17.7307175
## 294 1.5742363 1 4.737802293 -17.7307175
## 295 1.5742363 1 4.737802293 -17.7307175
## 296 1.5742363 1 4.737802293 -17.7307175
## 297 1.6157721 1 8.455787674 -9.4693325
## 298 1.6157721 1 8.455787674 -9.4693325
## 299 1.6157721 1 8.455787674 -9.4693325
## 300 1.6157721 1 8.455787674 -9.4693325
## 301 1.6157721 1 8.455787674 -9.4693325
## 302 1.6157721 1 8.455787674 -9.4693325
## 303 1.6157721 1 8.455787674 -9.4693325
## 304 1.6157721 1 8.455787674 -9.4693325
## 305 1.1397426 1 19.738136941 -2.4805544
## 306 1.1397426 1 19.738136941 -2.4805544
## 307 1.1397426 1 19.738136941 -2.4805544
## 308 1.1397426 1 19.738136941 -2.4805544
## 309 1.1397426 1 19.738136941 -2.4805544
## 310 1.1397426 1 19.738136941 -2.4805544
## 311 1.1397426 1 19.738136941 -2.4805544
## 312 1.1397426 1 19.738136941 -2.4805544
## 313 1.9272126 1 -3.312863934 -22.6528809
## 314 1.9272126 1 -3.312863934 -22.6528809
## 315 1.9272126 1 -3.312863934 -22.6528809
## 316 1.9272126 1 -3.312863934 -22.6528809
## 317 1.9272126 1 -3.312863934 -22.6528809
## 318 1.9272126 1 -3.312863934 -22.6528809
## 319 1.9272126 1 -3.312863934 -22.6528809
## 320 1.9272126 1 -3.312863934 -22.6528809
## 321 1.7872348 1 4.139573722 -17.6166605
## 322 1.7872348 1 4.139573722 -17.6166605
## 323 1.7872348 1 4.139573722 -17.6166605
## 324 1.7872348 1 4.139573722 -17.6166605
## 325 1.7872348 1 4.139573722 -17.6166605
## 326 1.7872348 1 4.139573722 -17.6166605
## 327 1.7872348 1 4.139573722 -17.6166605
## 328 1.7872348 1 4.139573722 -17.6166605
## 329 1.3168915 -1 3.116931745 -3.5888107
## 330 1.3168915 -1 3.116931745 -3.5888107
## 331 1.3168915 -1 3.116931745 -3.5888107
## 332 1.3168915 -1 3.116931745 -3.5888107
## 333 1.3168915 -1 3.116931745 -3.5888107
## 334 1.3168915 -1 3.116931745 -3.5888107
## 335 1.3168915 -1 3.116931745 -3.5888107
## 336 1.3168915 -1 3.116931745 -3.5888107
## 337 1.8751437 1 3.209011633 -16.1077152
## 338 1.8751437 1 3.209011633 -16.1077152
## 339 1.8751437 1 3.209011633 -16.1077152
## 340 1.8751437 1 3.209011633 -16.1077152
## 341 1.8751437 1 3.209011633 -16.1077152
## 342 1.8751437 1 3.209011633 -16.1077152
## 343 1.8751437 1 3.209011633 -16.1077152
## 344 1.8751437 1 3.209011633 -16.1077152
## 345 1.9721647 1 1.167747387 -5.3252042
## 346 1.9721647 1 1.167747387 -5.3252042
## 347 1.9721647 1 1.167747387 -5.3252042
## 348 1.9721647 1 1.167747387 -5.3252042
## 349 1.9721647 1 1.167747387 -5.3252042
## 350 1.9721647 1 1.167747387 -5.3252042
## 351 1.9721647 1 1.167747387 -5.3252042
## 352 1.9721647 1 1.167747387 -5.3252042
## 353 1.7162920 1 0.059289232 6.9427339
## 354 1.7162920 1 0.059289232 6.9427339
## 355 1.7162920 1 0.059289232 6.9427339
## 356 1.7162920 1 0.059289232 6.9427339
## 357 1.7162920 1 0.059289232 6.9427339
## 358 1.7162920 1 0.059289232 6.9427339
## 359 1.7162920 1 0.059289232 6.9427339
## 360 1.7162920 1 0.059289232 6.9427339
## 361 2.2817379 1 -1.586473121 25.5601024
## 362 2.2817379 1 -1.586473121 25.5601024
## 363 2.2817379 1 -1.586473121 25.5601024
## 364 2.2817379 1 -1.586473121 25.5601024
## 365 2.2817379 1 -1.586473121 25.5601024
## 366 2.2817379 1 -1.586473121 25.5601024
## 367 2.2817379 1 -1.586473121 25.5601024
## 368 2.2817379 1 -1.586473121 25.5601024
## 369 1.7374629 -1 0.008914006 -10.4988266
## 370 1.7374629 -1 0.008914006 -10.4988266
## 371 1.7374629 -1 0.008914006 -10.4988266
## 372 1.7374629 -1 0.008914006 -10.4988266
## 373 1.7374629 -1 0.008914006 -10.4988266
## 374 1.7374629 -1 0.008914006 -10.4988266
## 375 1.7374629 -1 0.008914006 -10.4988266
## 376 1.7374629 -1 0.008914006 -10.4988266
## 377 1.2174018 1 2.502549885 6.4900280
## 378 1.2174018 1 2.502549885 6.4900280
## 379 1.2174018 1 2.502549885 6.4900280
## 380 1.2174018 1 2.502549885 6.4900280
## 381 1.2174018 1 2.502549885 6.4900280
## 382 1.2174018 1 2.502549885 6.4900280
## 383 1.2174018 1 2.502549885 6.4900280
## 384 1.2174018 1 2.502549885 6.4900280
## 385 1.3119855 -1 5.073355437 -2.5587751
## 386 1.3119855 -1 5.073355437 -2.5587751
## 387 1.3119855 -1 5.073355437 -2.5587751
## 388 1.3119855 -1 5.073355437 -2.5587751
## 389 1.3119855 -1 5.073355437 -2.5587751
## 390 1.3119855 -1 5.073355437 -2.5587751
## 391 1.3119855 -1 5.073355437 -2.5587751
## 392 1.3119855 -1 5.073355437 -2.5587751
## 393 1.3327091 1 14.783229245 1.5234723
## 394 1.3327091 1 14.783229245 1.5234723
## 395 1.3327091 1 14.783229245 1.5234723
## 396 1.3327091 1 14.783229245 1.5234723
## 397 1.3327091 1 14.783229245 1.5234723
## 398 1.3327091 1 14.783229245 1.5234723
## 399 1.3327091 1 14.783229245 1.5234723
## 400 1.3327091 1 14.783229245 1.5234723
## 401 2.0665257 1 -1.810913537 -10.7211711
## 402 2.0665257 1 -1.810913537 -10.7211711
## 403 2.0665257 1 -1.810913537 -10.7211711
## 404 2.0665257 1 -1.810913537 -10.7211711
## 405 2.0665257 1 -1.810913537 -10.7211711
## 406 2.0665257 1 -1.810913537 -10.7211711
## 407 2.0665257 1 -1.810913537 -10.7211711
## 408 2.0665257 1 -1.810913537 -10.7211711
## 409 1.9608849 1 0.380617758 -13.6765051
## 410 1.9608849 1 0.380617758 -13.6765051
## 411 1.9608849 1 0.380617758 -13.6765051
## 412 1.9608849 1 0.380617758 -13.6765051
## 413 1.9608849 1 0.380617758 -13.6765051
## 414 1.9608849 1 0.380617758 -13.6765051
## 415 1.9608849 1 0.380617758 -13.6765051
## 416 1.9608849 1 0.380617758 -13.6765051
## 417 1.3543236 -1 -6.637265223 2.7779893
## 418 1.3543236 -1 -6.637265223 2.7779893
## 419 1.3543236 -1 -6.637265223 2.7779893
## 420 1.3543236 -1 -6.637265223 2.7779893
## 421 1.3543236 -1 -6.637265223 2.7779893
## 422 1.3543236 -1 -6.637265223 2.7779893
## 423 1.3543236 -1 -6.637265223 2.7779893
## 424 1.3543236 -1 -6.637265223 2.7779893
## 425 1.7204170 -1 0.282703916 13.3197997
## 426 1.7204170 -1 0.282703916 13.3197997
## 427 1.7204170 -1 0.282703916 13.3197997
## 428 1.7204170 -1 0.282703916 13.3197997
## 429 1.7204170 -1 0.282703916 13.3197997
## 430 1.7204170 -1 0.282703916 13.3197997
## 431 1.7204170 -1 0.282703916 13.3197997
## 432 1.7204170 -1 0.282703916 13.3197997
## 433 1.4950525 1 0.221985105 -5.9167633
## 434 1.4950525 1 0.221985105 -5.9167633
## 435 1.4950525 1 0.221985105 -5.9167633
## 436 1.4950525 1 0.221985105 -5.9167633
## 437 1.4950525 1 0.221985105 -5.9167633
## 438 1.4950525 1 0.221985105 -5.9167633
## 439 1.4950525 1 0.221985105 -5.9167633
## 440 1.4950525 1 0.221985105 -5.9167633
## 441 2.1768685 1 0.097525189 35.1216307
## 442 2.1768685 1 0.097525189 35.1216307
## 443 2.1768685 1 0.097525189 35.1216307
## 444 2.1768685 1 0.097525189 35.1216307
## 445 2.1768685 1 0.097525189 35.1216307
## 446 2.1768685 1 0.097525189 35.1216307
## 447 2.1768685 1 0.097525189 35.1216307
## 448 2.1768685 1 0.097525189 35.1216307
## 449 1.3718071 -1 -7.084141945 5.9902323
## 450 1.3718071 -1 -7.084141945 5.9902323
## 451 1.3718071 -1 -7.084141945 5.9902323
## 452 1.3718071 -1 -7.084141945 5.9902323
## 453 1.3718071 -1 -7.084141945 5.9902323
## 454 1.3718071 -1 -7.084141945 5.9902323
## 455 1.3718071 -1 -7.084141945 5.9902323
## 456 1.3718071 -1 -7.084141945 5.9902323
## 457 1.2682974 -1 4.553183782 1.2257111
## 458 1.2682974 -1 4.553183782 1.2257111
## 459 1.2682974 -1 4.553183782 1.2257111
## 460 1.2682974 -1 4.553183782 1.2257111
## 461 1.2682974 -1 4.553183782 1.2257111
## 462 1.2682974 -1 4.553183782 1.2257111
## 463 1.2682974 -1 4.553183782 1.2257111
## 464 1.2682974 -1 4.553183782 1.2257111
## 465 1.2268778 -1 2.388005315 0.9206588
## 466 1.2268778 -1 2.388005315 0.9206588
## 467 1.2268778 -1 2.388005315 0.9206588
## 468 1.2268778 -1 2.388005315 0.9206588
## 469 1.2268778 -1 2.388005315 0.9206588
## 470 1.2268778 -1 2.388005315 0.9206588
## 471 1.2268778 -1 2.388005315 0.9206588
## 472 1.2268778 -1 2.388005315 0.9206588
## 473 2.1331200 1 -1.875326673 32.6412380
## 474 2.1331200 1 -1.875326673 32.6412380
## 475 2.1331200 1 -1.875326673 32.6412380
## 476 2.1331200 1 -1.875326673 32.6412380
## 477 2.1331200 1 -1.875326673 32.6412380
## 478 2.1331200 1 -1.875326673 32.6412380
## 479 2.1331200 1 -1.875326673 32.6412380
## 480 2.1331200 1 -1.875326673 32.6412380
## 481 2.0392829 1 0.056544963 -31.1825858
## 482 2.0392829 1 0.056544963 -31.1825858
## 483 2.0392829 1 0.056544963 -31.1825858
## 484 2.0392829 1 0.056544963 -31.1825858
## 485 2.0392829 1 0.056544963 -31.1825858
## 486 2.0392829 1 0.056544963 -31.1825858
## 487 2.0392829 1 0.056544963 -31.1825858
## 488 2.0392829 1 0.056544963 -31.1825858
## 489 1.5588769 1 -0.529419013 18.0522692
## 490 1.5588769 1 -0.529419013 18.0522692
## 491 1.5588769 1 -0.529419013 18.0522692
## 492 1.5588769 1 -0.529419013 18.0522692
## 493 1.5588769 1 -0.529419013 18.0522692
## 494 1.5588769 1 -0.529419013 18.0522692
## 495 1.5588769 1 -0.529419013 18.0522692
## 496 1.5588769 1 -0.529419013 18.0522692
## 497 1.3170649 -1 3.558213453 -5.1830832
## 498 1.3170649 -1 3.558213453 -5.1830832
## 499 1.3170649 -1 3.558213453 -5.1830832
## 500 1.3170649 -1 3.558213453 -5.1830832
## 501 1.3170649 -1 3.558213453 -5.1830832
## 502 1.3170649 -1 3.558213453 -5.1830832
## 503 1.3170649 -1 3.558213453 -5.1830832
## 504 1.3170649 -1 3.558213453 -5.1830832
## 505 1.5695925 -1 -0.898038911 0.4296124
## 506 1.5695925 -1 -0.898038911 0.4296124
## 507 1.5695925 -1 -0.898038911 0.4296124
## 508 1.5695925 -1 -0.898038911 0.4296124
## 509 1.5695925 -1 -0.898038911 0.4296124
## 510 1.5695925 -1 -0.898038911 0.4296124
## 511 1.5695925 -1 -0.898038911 0.4296124
## 512 1.5695925 -1 -0.898038911 0.4296124
## 513 1.4753812 -1 1.624648484 5.3914977
## 514 1.4753812 -1 1.624648484 5.3914977
## 515 1.4753812 -1 1.624648484 5.3914977
## 516 1.4753812 -1 1.624648484 5.3914977
## 517 1.4753812 -1 1.624648484 5.3914977
## 518 1.4753812 -1 1.624648484 5.3914977
## 519 1.4753812 -1 1.624648484 5.3914977
## 520 1.4753812 -1 1.624648484 5.3914977
## 521 1.4469984 -1 -0.133555277 3.6029670
## 522 1.4469984 -1 -0.133555277 3.6029670
## 523 1.4469984 -1 -0.133555277 3.6029670
## 524 1.4469984 -1 -0.133555277 3.6029670
## 525 1.4469984 -1 -0.133555277 3.6029670
## 526 1.4469984 -1 -0.133555277 3.6029670
## 527 1.4469984 -1 -0.133555277 3.6029670
## 528 1.4469984 -1 -0.133555277 3.6029670
## 529 1.8853544 1 -3.240012074 -22.1320438
## 530 1.8853544 1 -3.240012074 -22.1320438
## 531 1.8853544 1 -3.240012074 -22.1320438
## 532 1.8853544 1 -3.240012074 -22.1320438
## 533 1.8853544 1 -3.240012074 -22.1320438
## 534 1.8853544 1 -3.240012074 -22.1320438
## 535 1.8853544 1 -3.240012074 -22.1320438
## 536 1.8853544 1 -3.240012074 -22.1320438
## 537 1.3237973 1 -1.342728004 3.1721855
## 538 1.3237973 1 -1.342728004 3.1721855
## 539 1.3237973 1 -1.342728004 3.1721855
## 540 1.3237973 1 -1.342728004 3.1721855
## 541 1.3237973 1 -1.342728004 3.1721855
## 542 1.3237973 1 -1.342728004 3.1721855
## 543 1.3237973 1 -1.342728004 3.1721855
## 544 1.3237973 1 -1.342728004 3.1721855
## 545 1.4426723 1 24.474156910 -3.8828436
## 546 1.4426723 1 24.474156910 -3.8828436
## 547 1.4426723 1 24.474156910 -3.8828436
## 548 1.4426723 1 24.474156910 -3.8828436
## 549 1.4426723 1 24.474156910 -3.8828436
## 550 1.4426723 1 24.474156910 -3.8828436
## 551 1.4426723 1 24.474156910 -3.8828436
## 552 1.4426723 1 24.474156910 -3.8828436
## 553 1.5279880 1 1.570506617 -4.5916815
## 554 1.5279880 1 1.570506617 -4.5916815
## 555 1.5279880 1 1.570506617 -4.5916815
## 556 1.5279880 1 1.570506617 -4.5916815
## 557 1.5279880 1 1.570506617 -4.5916815
## 558 1.5279880 1 1.570506617 -4.5916815
## 559 1.5279880 1 1.570506617 -4.5916815
## 560 1.5279880 1 1.570506617 -4.5916815
## 561 1.4768676 1 -3.692313240 -7.6591744
## 562 1.4768676 1 -3.692313240 -7.6591744
## 563 1.4768676 1 -3.692313240 -7.6591744
## 564 1.4768676 1 -3.692313240 -7.6591744
## 565 1.4768676 1 -3.692313240 -7.6591744
## 566 1.4768676 1 -3.692313240 -7.6591744
## 567 1.4768676 1 -3.692313240 -7.6591744
## 568 1.4768676 1 -3.692313240 -7.6591744
## 569 1.2835186 1 5.187719146 -0.9606179
## 570 1.2835186 1 5.187719146 -0.9606179
## 571 1.2835186 1 5.187719146 -0.9606179
## 572 1.2835186 1 5.187719146 -0.9606179
## 573 1.2835186 1 5.187719146 -0.9606179
## 574 1.2835186 1 5.187719146 -0.9606179
## 575 1.2835186 1 5.187719146 -0.9606179
## 576 1.2835186 1 5.187719146 -0.9606179
## 577 1.5208758 1 3.774567388 -3.9579636
## 578 1.5208758 1 3.774567388 -3.9579636
## 579 1.5208758 1 3.774567388 -3.9579636
## 580 1.5208758 1 3.774567388 -3.9579636
## 581 1.5208758 1 3.774567388 -3.9579636
## 582 1.5208758 1 3.774567388 -3.9579636
## 583 1.5208758 1 3.774567388 -3.9579636
## 584 1.5208758 1 3.774567388 -3.9579636
## 585 1.6108787 1 0.051100455 -2.9272293
## 586 1.6108787 1 0.051100455 -2.9272293
## 587 1.6108787 1 0.051100455 -2.9272293
## 588 1.6108787 1 0.051100455 -2.9272293
## 589 1.6108787 1 0.051100455 -2.9272293
## 590 1.6108787 1 0.051100455 -2.9272293
## 591 1.6108787 1 0.051100455 -2.9272293
## 592 1.6108787 1 0.051100455 -2.9272293
## 593 1.5794298 1 -0.722240686 7.9126831
## 594 1.5794298 1 -0.722240686 7.9126831
## 595 1.5794298 1 -0.722240686 7.9126831
## 596 1.5794298 1 -0.722240686 7.9126831
## 597 1.5794298 1 -0.722240686 7.9126831
## 598 1.5794298 1 -0.722240686 7.9126831
## 599 1.5794298 1 -0.722240686 7.9126831
## 600 1.5794298 1 -0.722240686 7.9126831
## 601 1.4407824 1 4.269333202 -1.1551737
## 602 1.4407824 1 4.269333202 -1.1551737
## 603 1.4407824 1 4.269333202 -1.1551737
## 604 1.4407824 1 4.269333202 -1.1551737
## 605 1.4407824 1 4.269333202 -1.1551737
## 606 1.4407824 1 4.269333202 -1.1551737
## 607 1.4407824 1 4.269333202 -1.1551737
## 608 1.4407824 1 4.269333202 -1.1551737
## 609 1.3349611 -1 3.752371296 -3.3054555
## 610 1.3349611 -1 3.752371296 -3.3054555
## 611 1.3349611 -1 3.752371296 -3.3054555
## 612 1.3349611 -1 3.752371296 -3.3054555
## 613 1.3349611 -1 3.752371296 -3.3054555
## 614 1.3349611 -1 3.752371296 -3.3054555
## 615 1.3349611 -1 3.752371296 -3.3054555
## 616 1.3349611 -1 3.752371296 -3.3054555
## 617 1.3523357 1 -4.136304374 -1.6579784
## 618 1.3523357 1 -4.136304374 -1.6579784
## 619 1.3523357 1 -4.136304374 -1.6579784
## 620 1.3523357 1 -4.136304374 -1.6579784
## 621 1.3523357 1 -4.136304374 -1.6579784
## 622 1.3523357 1 -4.136304374 -1.6579784
## 623 1.3523357 1 -4.136304374 -1.6579784
## 624 1.3523357 1 -4.136304374 -1.6579784
## 625 1.7765165 1 -1.850741239 -12.0946888
## 626 1.7765165 1 -1.850741239 -12.0946888
## 627 1.7765165 1 -1.850741239 -12.0946888
## 628 1.7765165 1 -1.850741239 -12.0946888
## 629 1.7765165 1 -1.850741239 -12.0946888
## 630 1.7765165 1 -1.850741239 -12.0946888
## 631 1.7765165 1 -1.850741239 -12.0946888
## 632 1.7765165 1 -1.850741239 -12.0946888
## 633 1.1526237 -1 -1.408967160 6.0868619
## 634 1.1526237 -1 -1.408967160 6.0868619
## 635 1.1526237 -1 -1.408967160 6.0868619
## 636 1.1526237 -1 -1.408967160 6.0868619
## 637 1.1526237 -1 -1.408967160 6.0868619
## 638 1.1526237 -1 -1.408967160 6.0868619
## 639 1.1526237 -1 -1.408967160 6.0868619
## 640 1.1526237 -1 -1.408967160 6.0868619
## 641 1.7878108 1 -0.617909419 1.5701055
## 642 1.7878108 1 -0.617909419 1.5701055
## 643 1.7878108 1 -0.617909419 1.5701055
## 644 1.7878108 1 -0.617909419 1.5701055
## 645 1.7878108 1 -0.617909419 1.5701055
## 646 1.7878108 1 -0.617909419 1.5701055
## 647 1.7878108 1 -0.617909419 1.5701055
## 648 1.7878108 1 -0.617909419 1.5701055
## 649 1.3901834 1 -1.788698097 2.7902411
## 650 1.3901834 1 -1.788698097 2.7902411
## 651 1.3901834 1 -1.788698097 2.7902411
## 652 1.3901834 1 -1.788698097 2.7902411
## 653 1.3901834 1 -1.788698097 2.7902411
## 654 1.3901834 1 -1.788698097 2.7902411
## 655 1.3901834 1 -1.788698097 2.7902411
## 656 1.3901834 1 -1.788698097 2.7902411
## 657 1.9383372 1 2.993913455 -18.9806393
## 658 1.9383372 1 2.993913455 -18.9806393
## 659 1.9383372 1 2.993913455 -18.9806393
## 660 1.9383372 1 2.993913455 -18.9806393
## 661 1.9383372 1 2.993913455 -18.9806393
## 662 1.9383372 1 2.993913455 -18.9806393
## 663 1.9383372 1 2.993913455 -18.9806393
## 664 1.9383372 1 2.993913455 -18.9806393
## 665 1.9917628 1 -0.340273710 -28.6836680
## 666 1.9917628 1 -0.340273710 -28.6836680
## 667 1.9917628 1 -0.340273710 -28.6836680
## 668 1.9917628 1 -0.340273710 -28.6836680
## 669 1.9917628 1 -0.340273710 -28.6836680
## 670 1.9917628 1 -0.340273710 -28.6836680
## 671 1.9917628 1 -0.340273710 -28.6836680
## 672 1.9917628 1 -0.340273710 -28.6836680
## 673 1.2946485 -1 -58.963830445 2.6435503
## 674 1.2946485 -1 -58.963830445 2.6435503
## 675 1.2946485 -1 -58.963830445 2.6435503
## 676 1.2946485 -1 -58.963830445 2.6435503
## 677 1.2946485 -1 -58.963830445 2.6435503
## 678 1.2946485 -1 -58.963830445 2.6435503
## 679 1.2946485 -1 -58.963830445 2.6435503
## 680 1.2946485 -1 -58.963830445 2.6435503
## 681 1.9044729 1 -1.589049813 5.2885183
## 682 1.9044729 1 -1.589049813 5.2885183
## 683 1.9044729 1 -1.589049813 5.2885183
## 684 1.9044729 1 -1.589049813 5.2885183
## 685 1.9044729 1 -1.589049813 5.2885183
## 686 1.9044729 1 -1.589049813 5.2885183
## 687 1.9044729 1 -1.589049813 5.2885183
## 688 1.9044729 1 -1.589049813 5.2885183
## 689 1.2951364 -1 1.812347452 3.6307002
## 690 1.2951364 -1 1.812347452 3.6307002
## 691 1.2951364 -1 1.812347452 3.6307002
## 692 1.2951364 -1 1.812347452 3.6307002
## 693 1.2951364 -1 1.812347452 3.6307002
## 694 1.2951364 -1 1.812347452 3.6307002
## 695 1.2951364 -1 1.812347452 3.6307002
## 696 1.2951364 -1 1.812347452 3.6307002
## 697 1.8877569 1 -2.107430351 11.8434037
## 698 1.8877569 1 -2.107430351 11.8434037
## 699 1.8877569 1 -2.107430351 11.8434037
## 700 1.8877569 1 -2.107430351 11.8434037
## 701 1.8877569 1 -2.107430351 11.8434037
## 702 1.8877569 1 -2.107430351 11.8434037
## 703 1.8877569 1 -2.107430351 11.8434037
## 704 1.8877569 1 -2.107430351 11.8434037
## 705 1.3570259 -1 -19.072590040 -3.1013884
## 706 1.3570259 -1 -19.072590040 -3.1013884
## 707 1.3570259 -1 -19.072590040 -3.1013884
## 708 1.3570259 -1 -19.072590040 -3.1013884
## 709 1.3570259 -1 -19.072590040 -3.1013884
## 710 1.3570259 -1 -19.072590040 -3.1013884
## 711 1.3570259 -1 -19.072590040 -3.1013884
## 712 1.3570259 -1 -19.072590040 -3.1013884
## 713 1.2883581 -1 -9.289052082 -1.7513763
## 714 1.2883581 -1 -9.289052082 -1.7513763
## 715 1.2883581 -1 -9.289052082 -1.7513763
## 716 1.2883581 -1 -9.289052082 -1.7513763
## 717 1.2883581 -1 -9.289052082 -1.7513763
## 718 1.2883581 -1 -9.289052082 -1.7513763
## 719 1.2883581 -1 -9.289052082 -1.7513763
## 720 1.2883581 -1 -9.289052082 -1.7513763
## 721 1.3748707 -1 3.516130000 3.2867341
## 722 1.3748707 -1 3.516130000 3.2867341
## 723 1.3748707 -1 3.516130000 3.2867341
## 724 1.3748707 -1 3.516130000 3.2867341
## 725 1.3748707 -1 3.516130000 3.2867341
## 726 1.3748707 -1 3.516130000 3.2867341
## 727 1.3748707 -1 3.516130000 3.2867341
## 728 1.3748707 -1 3.516130000 3.2867341
## 729 1.5908291 -1 -0.033369752 15.1288522
## 730 1.5908291 -1 -0.033369752 15.1288522
## 731 1.5908291 -1 -0.033369752 15.1288522
## 732 1.5908291 -1 -0.033369752 15.1288522
## 733 1.5908291 -1 -0.033369752 15.1288522
## 734 1.5908291 -1 -0.033369752 15.1288522
## 735 1.5908291 -1 -0.033369752 15.1288522
## 736 1.5908291 -1 -0.033369752 15.1288522
## 737 1.3096973 1 2.208740324 2.7731089
## 738 1.3096973 1 2.208740324 2.7731089
## 739 1.3096973 1 2.208740324 2.7731089
## 740 1.3096973 1 2.208740324 2.7731089
## 741 1.3096973 1 2.208740324 2.7731089
## 742 1.3096973 1 2.208740324 2.7731089
## 743 1.3096973 1 2.208740324 2.7731089
## 744 1.3096973 1 2.208740324 2.7731089
## 745 1.2712660 -1 4.843651354 6.5270584
## 746 1.2712660 -1 4.843651354 6.5270584
## 747 1.2712660 -1 4.843651354 6.5270584
## 748 1.2712660 -1 4.843651354 6.5270584
## 749 1.2712660 -1 4.843651354 6.5270584
## 750 1.2712660 -1 4.843651354 6.5270584
## 751 1.2712660 -1 4.843651354 6.5270584
## 752 1.2712660 -1 4.843651354 6.5270584
## 753 1.5529084 1 -7.448025142 7.2061410
## 754 1.5529084 1 -7.448025142 7.2061410
## 755 1.5529084 1 -7.448025142 7.2061410
## 756 1.5529084 1 -7.448025142 7.2061410
## 757 1.5529084 1 -7.448025142 7.2061410
## 758 1.5529084 1 -7.448025142 7.2061410
## 759 1.5529084 1 -7.448025142 7.2061410
## 760 1.5529084 1 -7.448025142 7.2061410
## 761 1.3449393 -1 -0.898466703 -0.5253520
## 762 1.3449393 -1 -0.898466703 -0.5253520
## 763 1.3449393 -1 -0.898466703 -0.5253520
## 764 1.3449393 -1 -0.898466703 -0.5253520
## 765 1.3449393 -1 -0.898466703 -0.5253520
## 766 1.3449393 -1 -0.898466703 -0.5253520
## 767 1.3449393 -1 -0.898466703 -0.5253520
## 768 1.3449393 -1 -0.898466703 -0.5253520
## 769 1.2032800 1 9.529040141 0.4411604
## 770 1.2032800 1 9.529040141 0.4411604
## 771 1.2032800 1 9.529040141 0.4411604
## 772 1.2032800 1 9.529040141 0.4411604
## 773 1.2032800 1 9.529040141 0.4411604
## 774 1.2032800 1 9.529040141 0.4411604
## 775 1.2032800 1 9.529040141 0.4411604
## 776 1.2032800 1 9.529040141 0.4411604
## 777 1.4207685 1 -0.465159887 -0.4110749
## 778 1.4207685 1 -0.465159887 -0.4110749
## 779 1.4207685 1 -0.465159887 -0.4110749
## 780 1.4207685 1 -0.465159887 -0.4110749
## 781 1.4207685 1 -0.465159887 -0.4110749
## 782 1.4207685 1 -0.465159887 -0.4110749
## 783 1.4207685 1 -0.465159887 -0.4110749
## 784 1.4207685 1 -0.465159887 -0.4110749
## 785 2.1580644 1 -1.438917590 -4.6877522
## 786 2.1580644 1 -1.438917590 -4.6877522
## 787 2.1580644 1 -1.438917590 -4.6877522
## 788 2.1580644 1 -1.438917590 -4.6877522
## 789 2.1580644 1 -1.438917590 -4.6877522
## 790 2.1580644 1 -1.438917590 -4.6877522
## 791 2.1580644 1 -1.438917590 -4.6877522
## 792 2.1580644 1 -1.438917590 -4.6877522
## 793 1.4017144 -1 -0.768029395 7.8203714
## 794 1.4017144 -1 -0.768029395 7.8203714
## 795 1.4017144 -1 -0.768029395 7.8203714
## 796 1.4017144 -1 -0.768029395 7.8203714
## 797 1.4017144 -1 -0.768029395 7.8203714
## 798 1.4017144 -1 -0.768029395 7.8203714
## 799 1.4017144 -1 -0.768029395 7.8203714
## 800 1.4017144 -1 -0.768029395 7.8203714
## 801 1.2866625 -1 3.761266392 4.2297454
## 802 1.2866625 -1 3.761266392 4.2297454
## 803 1.2866625 -1 3.761266392 4.2297454
## 804 1.2866625 -1 3.761266392 4.2297454
## 805 1.2866625 -1 3.761266392 4.2297454
## 806 1.2866625 -1 3.761266392 4.2297454
## 807 1.2866625 -1 3.761266392 4.2297454
## 808 1.2866625 -1 3.761266392 4.2297454
## 809 1.4502405 -1 6.782544618 12.8597066
## 810 1.4502405 -1 6.782544618 12.8597066
## 811 1.4502405 -1 6.782544618 12.8597066
## 812 1.4502405 -1 6.782544618 12.8597066
## 813 1.4502405 -1 6.782544618 12.8597066
## 814 1.4502405 -1 6.782544618 12.8597066
## 815 1.4502405 -1 6.782544618 12.8597066
## 816 1.4502405 -1 6.782544618 12.8597066
## 817 1.3004040 -1 12.882346742 4.5922464
## 818 1.3004040 -1 12.882346742 4.5922464
## 819 1.3004040 -1 12.882346742 4.5922464
## 820 1.3004040 -1 12.882346742 4.5922464
## 821 1.3004040 -1 12.882346742 4.5922464
## 822 1.3004040 -1 12.882346742 4.5922464
## 823 1.3004040 -1 12.882346742 4.5922464
## 824 1.3004040 -1 12.882346742 4.5922464
## 825 1.7758883 1 -1.887433604 -8.1790906
## 826 1.7758883 1 -1.887433604 -8.1790906
## 827 1.7758883 1 -1.887433604 -8.1790906
## 828 1.7758883 1 -1.887433604 -8.1790906
## 829 1.7758883 1 -1.887433604 -8.1790906
## 830 1.7758883 1 -1.887433604 -8.1790906
## 831 1.7758883 1 -1.887433604 -8.1790906
## 832 1.7758883 1 -1.887433604 -8.1790906
## 833 1.2272380 -1 -3.299625587 0.1900930
## 834 1.2272380 -1 -3.299625587 0.1900930
## 835 1.2272380 -1 -3.299625587 0.1900930
## 836 1.2272380 -1 -3.299625587 0.1900930
## 837 1.2272380 -1 -3.299625587 0.1900930
## 838 1.2272380 -1 -3.299625587 0.1900930
## 839 1.2272380 -1 -3.299625587 0.1900930
## 840 1.2272380 -1 -3.299625587 0.1900930
## 841 1.3249616 1 -0.940414514 10.5766732
## 842 1.3249616 1 -0.940414514 10.5766732
## 843 1.3249616 1 -0.940414514 10.5766732
## 844 1.3249616 1 -0.940414514 10.5766732
## 845 1.3249616 1 -0.940414514 10.5766732
## 846 1.3249616 1 -0.940414514 10.5766732
## 847 1.3249616 1 -0.940414514 10.5766732
## 848 1.3249616 1 -0.940414514 10.5766732
## 849 1.1909212 1 2.011109847 13.4455505
## 850 1.1909212 1 2.011109847 13.4455505
## 851 1.1909212 1 2.011109847 13.4455505
## 852 1.1909212 1 2.011109847 13.4455505
## 853 1.1909212 1 2.011109847 13.4455505
## 854 1.1909212 1 2.011109847 13.4455505
## 855 1.1909212 1 2.011109847 13.4455505
## 856 1.1909212 1 2.011109847 13.4455505
## 857 1.2670673 -1 -3.146489457 13.7743246
## 858 1.2670673 -1 -3.146489457 13.7743246
## 859 1.2670673 -1 -3.146489457 13.7743246
## 860 1.2670673 -1 -3.146489457 13.7743246
## 861 1.2670673 -1 -3.146489457 13.7743246
## 862 1.2670673 -1 -3.146489457 13.7743246
## 863 1.2670673 -1 -3.146489457 13.7743246
## 864 1.2670673 -1 -3.146489457 13.7743246
## 865 1.8755727 -1 -0.275575029 -38.0037781
## 866 1.8755727 -1 -0.275575029 -38.0037781
## 867 1.8755727 -1 -0.275575029 -38.0037781
## 868 1.8755727 -1 -0.275575029 -38.0037781
## 869 1.8755727 -1 -0.275575029 -38.0037781
## 870 1.8755727 -1 -0.275575029 -38.0037781
## 871 1.8755727 -1 -0.275575029 -38.0037781
## 872 1.8755727 -1 -0.275575029 -38.0037781
## 873 1.5530499 -1 -0.612070509 6.0391310
## 874 1.5530499 -1 -0.612070509 6.0391310
## 875 1.5530499 -1 -0.612070509 6.0391310
## 876 1.5530499 -1 -0.612070509 6.0391310
## 877 1.5530499 -1 -0.612070509 6.0391310
## 878 1.5530499 -1 -0.612070509 6.0391310
## 879 1.5530499 -1 -0.612070509 6.0391310
## 880 1.5530499 -1 -0.612070509 6.0391310
## 881 1.4067891 -1 28.445877439 6.6324686
## 882 1.4067891 -1 28.445877439 6.6324686
## 883 1.4067891 -1 28.445877439 6.6324686
## 884 1.4067891 -1 28.445877439 6.6324686
## 885 1.4067891 -1 28.445877439 6.6324686
## 886 1.4067891 -1 28.445877439 6.6324686
## 887 1.4067891 -1 28.445877439 6.6324686
## 888 1.4067891 -1 28.445877439 6.6324686
## 889 1.2402883 -1 5.441537352 3.9425080
## 890 1.2402883 -1 5.441537352 3.9425080
## 891 1.2402883 -1 5.441537352 3.9425080
## 892 1.2402883 -1 5.441537352 3.9425080
## 893 1.2402883 -1 5.441537352 3.9425080
## 894 1.2402883 -1 5.441537352 3.9425080
## 895 1.2402883 -1 5.441537352 3.9425080
## 896 1.2402883 -1 5.441537352 3.9425080
## 897 1.8457257 -1 -1.463280478 95.8695047
## 898 1.8457257 -1 -1.463280478 95.8695047
## 899 1.8457257 -1 -1.463280478 95.8695047
## 900 1.8457257 -1 -1.463280478 95.8695047
## 901 1.8457257 -1 -1.463280478 95.8695047
## 902 1.8457257 -1 -1.463280478 95.8695047
## 903 1.8457257 -1 -1.463280478 95.8695047
## 904 1.8457257 -1 -1.463280478 95.8695047
## 905 1.3160922 -1 1.895401661 12.8587850
## 906 1.3160922 -1 1.895401661 12.8587850
## 907 1.3160922 -1 1.895401661 12.8587850
## 908 1.3160922 -1 1.895401661 12.8587850
## 909 1.3160922 -1 1.895401661 12.8587850
## 910 1.3160922 -1 1.895401661 12.8587850
## 911 1.3160922 -1 1.895401661 12.8587850
## 912 1.3160922 -1 1.895401661 12.8587850
## 913 1.5749073 -1 -0.072553785 31.9111229
## 914 1.5749073 -1 -0.072553785 31.9111229
## 915 1.5749073 -1 -0.072553785 31.9111229
## 916 1.5749073 -1 -0.072553785 31.9111229
## 917 1.5749073 -1 -0.072553785 31.9111229
## 918 0.9838353 1 -9.211696967 -0.7232890
## 919 0.9838353 1 -9.211696967 -0.7232890
## 920 0.9838353 1 -9.211696967 -0.7232890
## 921 0.9838353 1 -9.211696967 -0.7232890
## 922 0.9838353 1 -9.211696967 -0.7232890
## 923 1.2315163 -1 NA NA
## 924 1.2315163 -1 NA NA
## 925 1.2315163 -1 NA NA
## 926 1.2315163 -1 NA NA
## 927 1.2315163 -1 NA NA
## 928 1.2502289 1 NA NA
## 929 1.2502289 1 NA NA
## 930 1.2502289 1 NA NA
## 931 1.2502289 1 NA NA
## 932 1.2502289 1 NA NA
## 933 1.1968094 -1 NA NA
## 934 1.1968094 -1 NA NA
## 935 1.1968094 -1 NA NA
## 936 1.1968094 -1 NA NA
## 937 1.1968094 -1 NA NA
## 938 0.9540957 1 -14.139437022 -2.6540392
## 939 0.9540957 1 -14.139437022 -2.6540392
## 940 0.9540957 1 -14.139437022 -2.6540392
## 941 0.9540957 1 -14.139437022 -2.6540392
## 942 0.9540957 1 -14.139437022 -2.6540392
## 943 1.3743917 1 NA NA
## 944 1.3743917 1 NA NA
## 945 1.3743917 1 NA NA
## 946 1.3743917 1 NA NA
## 947 1.3743917 1 NA NA
## 948 1.6644551 1 NA NA
## 949 1.6644551 1 NA NA
## 950 1.6644551 1 NA NA
## 951 1.6644551 1 NA NA
## 952 1.6644551 1 NA NA
## 953 1.1020308 -1 -3.501746372 -1.5905680
## 954 1.1020308 -1 -3.501746372 -1.5905680
## 955 1.1020308 -1 -3.501746372 -1.5905680
## 956 1.1020308 -1 -3.501746372 -1.5905680
## 957 1.1020308 -1 -3.501746372 -1.5905680
## 958 0.8568168 1 -17.487570908 3.3384440
## 959 0.8568168 1 -17.487570908 3.3384440
## 960 0.8568168 1 -17.487570908 3.3384440
## 961 0.8568168 1 -17.487570908 3.3384440
## 962 0.8568168 1 -17.487570908 3.3384440
## 963 1.3453639 1 NA NA
## 964 1.3453639 1 NA NA
## 965 1.3453639 1 NA NA
## 966 1.3453639 1 NA NA
## 967 1.3453639 1 NA NA
## 968 1.4376195 1 NA NA
## 969 1.4376195 1 NA NA
## 970 1.4376195 1 NA NA
## 971 1.4376195 1 NA NA
## 972 1.4376195 1 NA NA
## 973 1.4687618 -1 1.737128082 -11.3037841
## 974 1.4687618 -1 1.737128082 -11.3037841
## 975 1.4687618 -1 1.737128082 -11.3037841
## 976 1.4687618 -1 1.737128082 -11.3037841
## 977 1.4687618 -1 1.737128082 -11.3037841
## 978 1.3007003 1 3.022165973 -4.1214799
## 979 1.3007003 1 3.022165973 -4.1214799
## 980 1.3007003 1 3.022165973 -4.1214799
## 981 1.3007003 1 3.022165973 -4.1214799
## 982 1.3007003 1 3.022165973 -4.1214799
## 983 1.2965605 -1 NA NA
## 984 1.2965605 -1 NA NA
## 985 1.2965605 -1 NA NA
## 986 1.2965605 -1 NA NA
## 987 1.2965605 -1 NA NA
## 988 1.3909824 1 NA NA
## 989 1.3909824 1 NA NA
## 990 1.3909824 1 NA NA
## 991 1.3909824 1 NA NA
## 992 1.3909824 1 NA NA
## 993 1.4553136 1 0.636907410 -19.5202184
## 994 1.4553136 1 0.636907410 -19.5202184
## 995 1.4553136 1 0.636907410 -19.5202184
## 996 1.4553136 1 0.636907410 -19.5202184
## 997 1.4553136 1 0.636907410 -19.5202184
## 998 1.2576447 1 NA NA
## 999 1.2576447 1 NA NA
## 1000 1.2576447 1 NA NA
## 1001 1.2576447 1 NA NA
## 1002 1.2576447 1 NA NA
## 1003 1.2320659 -1 NA NA
## 1004 1.2320659 -1 NA NA
## 1005 1.2320659 -1 NA NA
## 1006 1.2320659 -1 NA NA
## 1007 1.2320659 -1 NA NA
## 1008 1.2410250 -1 3.732574138 -3.9454646
## 1009 1.2410250 -1 3.732574138 -3.9454646
## 1010 1.2410250 -1 3.732574138 -3.9454646
## 1011 1.2410250 -1 3.732574138 -3.9454646
## 1012 1.2410250 -1 3.732574138 -3.9454646
## 1013 1.3480066 1 -1.010017531 -5.3393615
## 1014 1.3480066 1 -1.010017531 -5.3393615
## 1015 1.3480066 1 -1.010017531 -5.3393615
## 1016 1.3480066 1 -1.010017531 -5.3393615
## 1017 1.3480066 1 -1.010017531 -5.3393615
## 1018 1.3409965 -1 -0.240788347 -11.0931672
## 1019 1.3409965 -1 -0.240788347 -11.0931672
## 1020 1.3409965 -1 -0.240788347 -11.0931672
## 1021 1.3409965 -1 -0.240788347 -11.0931672
## 1022 1.3409965 -1 -0.240788347 -11.0931672
## 1023 1.3788807 1 NA NA
## 1024 1.3788807 1 NA NA
## 1025 1.3788807 1 NA NA
## 1026 1.3788807 1 NA NA
## 1027 1.3788807 1 NA NA
## 1028 1.3077410 1 NA NA
## 1029 1.3077410 1 NA NA
## 1030 1.3077410 1 NA NA
## 1031 1.3077410 1 NA NA
## 1032 1.3077410 1 NA NA
## 1033 1.0328684 1 3.910160390 -0.8693626
## 1034 1.0328684 1 3.910160390 -0.8693626
## 1035 1.0328684 1 3.910160390 -0.8693626
## 1036 1.0328684 1 3.910160390 -0.8693626
## 1037 1.0328684 1 3.910160390 -0.8693626
## 1038 1.4951851 1 NA NA
## 1039 1.4951851 1 NA NA
## 1040 1.4951851 1 NA NA
## 1041 1.4951851 1 NA NA
## 1042 1.4951851 1 NA NA
## 1043 1.1822020 -1 NA NA
## 1044 1.1822020 -1 NA NA
## 1045 1.1822020 -1 NA NA
## 1046 1.1822020 -1 NA NA
## 1047 1.1822020 -1 NA NA
## 1048 1.2122241 1 NA NA
## 1049 1.2122241 1 NA NA
## 1050 1.2122241 1 NA NA
## 1051 1.2122241 1 NA NA
## 1052 1.2122241 1 NA NA
## 1053 1.3879798 1 NA NA
## 1054 1.3879798 1 NA NA
## 1055 1.3879798 1 NA NA
## 1056 1.3879798 1 NA NA
## 1057 1.3879798 1 NA NA
## 1058 1.2918229 1 NA NA
## 1059 1.2918229 1 NA NA
## 1060 1.2918229 1 NA NA
## 1061 1.2918229 1 NA NA
## 1062 1.2918229 1 NA NA
## 1063 1.3475067 1 NA NA
## 1064 1.3475067 1 NA NA
## 1065 1.3475067 1 NA NA
## 1066 1.3475067 1 NA NA
## 1067 1.3475067 1 NA NA
## 1068 1.3733519 -1 2.900719803 0.4906270
## 1069 1.3733519 -1 2.900719803 0.4906270
## 1070 1.3733519 -1 2.900719803 0.4906270
## 1071 1.3733519 -1 2.900719803 0.4906270
## 1072 1.3733519 -1 2.900719803 0.4906270
## 1073 1.3446163 1 2.430255392 -5.3950631
## 1074 1.3446163 1 2.430255392 -5.3950631
## 1075 1.3446163 1 2.430255392 -5.3950631
## 1076 1.3446163 1 2.430255392 -5.3950631
## 1077 1.3446163 1 2.430255392 -5.3950631
## 1078 1.1960424 1 NA NA
## 1079 1.1960424 1 NA NA
## 1080 1.1960424 1 NA NA
## 1081 1.1960424 1 NA NA
## 1082 1.1960424 1 NA NA
## 1083 1.0774400 1 1.366545025 0.5343188
## 1084 1.0774400 1 1.366545025 0.5343188
## 1085 1.0774400 1 1.366545025 0.5343188
## 1086 1.0774400 1 1.366545025 0.5343188
## 1087 1.0774400 1 1.366545025 0.5343188
## 1088 1.3393696 1 NA NA
## 1089 1.3393696 1 NA NA
## 1090 1.3393696 1 NA NA
## 1091 1.3393696 1 NA NA
## 1092 1.3393696 1 NA NA
## 1093 1.1965142 1 -1.832476922 -9.4723576
## 1094 1.1965142 1 -1.832476922 -9.4723576
## 1095 1.1965142 1 -1.832476922 -9.4723576
## 1096 1.1965142 1 -1.832476922 -9.4723576
## 1097 1.1965142 1 -1.832476922 -9.4723576
## 1098 1.2404348 1 NA NA
## 1099 1.2404348 1 NA NA
## 1100 1.2404348 1 NA NA
## 1101 1.2404348 1 NA NA
## 1102 1.2404348 1 NA NA
## 1103 1.1414727 -1 4.449725329 -4.1273299
## 1104 1.1414727 -1 4.449725329 -4.1273299
## 1105 1.1414727 -1 4.449725329 -4.1273299
## 1106 1.1414727 -1 4.449725329 -4.1273299
## 1107 1.1414727 -1 4.449725329 -4.1273299
## 1108 1.1789962 1 NA NA
## 1109 1.1789962 1 NA NA
## 1110 1.1789962 1 NA NA
## 1111 1.1789962 1 NA NA
## 1112 1.1789962 1 NA NA
## 1113 1.3331447 1 2.754692557 -3.1455004
## 1114 1.3331447 1 2.754692557 -3.1455004
## 1115 1.3331447 1 2.754692557 -3.1455004
## 1116 1.3331447 1 2.754692557 -3.1455004
## 1117 1.3331447 1 2.754692557 -3.1455004
## 1118 1.3803307 1 0.628689053 -8.7646075
## 1119 1.3803307 1 0.628689053 -8.7646075
## 1120 1.3803307 1 0.628689053 -8.7646075
## 1121 1.3803307 1 0.628689053 -8.7646075
## 1122 1.3803307 1 0.628689053 -8.7646075
## 1123 1.2050452 1 -4.163244444 -3.9464169
## 1124 1.2050452 1 -4.163244444 -3.9464169
## 1125 1.2050452 1 -4.163244444 -3.9464169
## 1126 1.2050452 1 -4.163244444 -3.9464169
## 1127 1.2050452 1 -4.163244444 -3.9464169
## 1128 1.5186784 1 NA NA
## 1129 1.5186784 1 NA NA
## 1130 1.5186784 1 NA NA
## 1131 1.5186784 1 NA NA
## 1132 1.5186784 1 NA NA
## 1133 1.3849352 1 -0.834324470 -6.9556571
## 1134 1.3849352 1 -0.834324470 -6.9556571
## 1135 1.3849352 1 -0.834324470 -6.9556571
## 1136 1.3849352 1 -0.834324470 -6.9556571
## 1137 1.3849352 1 -0.834324470 -6.9556571
## 1138 1.5664677 1 NA NA
## 1139 1.5664677 1 NA NA
## 1140 1.5664677 1 NA NA
## 1141 1.5664677 1 NA NA
## 1142 1.5664677 1 NA NA
## 1143 1.4288710 1 0.585613198 -11.8264029
## 1144 1.4288710 1 0.585613198 -11.8264029
## 1145 1.4288710 1 0.585613198 -11.8264029
## 1146 1.4288710 1 0.585613198 -11.8264029
## 1147 1.4288710 1 0.585613198 -11.8264029
## 1148 1.3592776 1 NA NA
## 1149 1.3592776 1 NA NA
## 1150 1.3592776 1 NA NA
## 1151 1.3592776 1 NA NA
## 1152 1.3592776 1 NA NA
## 1153 1.0835608 -1 0.417004359 -1.2780219
## 1154 1.0835608 -1 0.417004359 -1.2780219
## 1155 1.0835608 -1 0.417004359 -1.2780219
## 1156 1.0835608 -1 0.417004359 -1.2780219
## 1157 1.0835608 -1 0.417004359 -1.2780219
## 1158 1.2498850 1 6.594414963 0.7854604
## 1159 1.2498850 1 6.594414963 0.7854604
## 1160 1.2498850 1 6.594414963 0.7854604
## 1161 1.2498850 1 6.594414963 0.7854604
## 1162 1.2498850 1 6.594414963 0.7854604
## 1163 1.4061232 -1 NA NA
## 1164 1.4061232 -1 NA NA
## 1165 1.4061232 -1 NA NA
## 1166 1.4061232 -1 NA NA
## 1167 1.4061232 -1 NA NA
## 1168 1.1775634 1 NA NA
## 1169 1.1775634 1 NA NA
## 1170 1.1775634 1 NA NA
## 1171 1.1775634 1 NA NA
## 1172 1.1775634 1 NA NA
## 1173 1.2173507 1 NA NA
## 1174 1.2173507 1 NA NA
## 1175 1.2173507 1 NA NA
## 1176 1.2173507 1 NA NA
## 1177 1.2173507 1 NA NA
## 1178 1.3198875 1 NA NA
## 1179 1.3198875 1 NA NA
## 1180 1.3198875 1 NA NA
## 1181 1.3198875 1 NA NA
## 1182 1.3198875 1 NA NA
## 1183 1.3689231 1 NA NA
## 1184 1.3689231 1 NA NA
## 1185 1.3689231 1 NA NA
## 1186 1.3689231 1 NA NA
## 1187 1.3689231 1 NA NA
## 1188 1.3141177 -1 -2.977264030 -6.8058970
## 1189 1.3141177 -1 -2.977264030 -6.8058970
## 1190 1.3141177 -1 -2.977264030 -6.8058970
## 1191 1.3141177 -1 -2.977264030 -6.8058970
## 1192 1.3141177 -1 -2.977264030 -6.8058970
## 1193 1.3769487 1 6.832492842 -10.1395883
## 1194 1.3769487 1 6.832492842 -10.1395883
## 1195 1.3769487 1 6.832492842 -10.1395883
## 1196 1.3769487 1 6.832492842 -10.1395883
## 1197 1.3769487 1 6.832492842 -10.1395883
## 1198 1.2957691 -1 0.741823573 -1.4313878
## 1199 1.2957691 -1 0.741823573 -1.4313878
## 1200 1.2957691 -1 0.741823573 -1.4313878
## 1201 1.2957691 -1 0.741823573 -1.4313878
## 1202 1.2957691 -1 0.741823573 -1.4313878
## 1203 1.3014307 -1 3.974450208 -3.8348111
## 1204 1.3014307 -1 3.974450208 -3.8348111
## 1205 1.3014307 -1 3.974450208 -3.8348111
## 1206 1.3014307 -1 3.974450208 -3.8348111
## 1207 1.3014307 -1 3.974450208 -3.8348111
## 1208 1.0496241 1 NA NA
## 1209 1.0496241 1 NA NA
## 1210 1.0496241 1 NA NA
## 1211 1.0496241 1 NA NA
## 1212 1.0496241 1 NA NA
## 1213 1.3467031 1 -0.150659705 -5.9156680
## 1214 1.3467031 1 -0.150659705 -5.9156680
## 1215 1.3467031 1 -0.150659705 -5.9156680
## 1216 1.3467031 1 -0.150659705 -5.9156680
## 1217 1.3467031 1 -0.150659705 -5.9156680
## 1218 1.1907757 1 4.967182032 3.0689022
## 1219 1.1907757 1 4.967182032 3.0689022
## 1220 1.1907757 1 4.967182032 3.0689022
## 1221 1.1907757 1 4.967182032 3.0689022
## 1222 1.1907757 1 4.967182032 3.0689022
## 1223 1.1211591 1 NA NA
## 1224 1.1211591 1 NA NA
## 1225 1.1211591 1 NA NA
## 1226 1.1211591 1 NA NA
## 1227 1.1211591 1 NA NA
## 1228 1.2268951 1 NA NA
## 1229 1.2268951 1 NA NA
## 1230 1.2268951 1 NA NA
## 1231 1.2268951 1 NA NA
## 1232 1.2268951 1 NA NA
## 1233 1.4134223 -1 NA NA
## 1234 1.4134223 -1 NA NA
## 1235 1.4134223 -1 NA NA
## 1236 1.4134223 -1 NA NA
## 1237 1.4134223 -1 NA NA
## 1238 1.3798931 1 -1.565759638 -8.0949020
## 1239 1.3798931 1 -1.565759638 -8.0949020
## 1240 1.3798931 1 -1.565759638 -8.0949020
## 1241 1.3798931 1 -1.565759638 -8.0949020
## 1242 1.3798931 1 -1.565759638 -8.0949020
## 1243 1.4583528 1 -1.297183310 -6.4214826
## 1244 1.4583528 1 -1.297183310 -6.4214826
## 1245 1.4583528 1 -1.297183310 -6.4214826
## 1246 1.4583528 1 -1.297183310 -6.4214826
## 1247 1.4583528 1 -1.297183310 -6.4214826
## 1248 1.2679799 1 NA NA
## 1249 1.2679799 1 NA NA
## 1250 1.2679799 1 NA NA
## 1251 1.2679799 1 NA NA
## 1252 1.2679799 1 NA NA
## 1253 1.1996606 -1 NA NA
## 1254 1.1996606 -1 NA NA
## 1255 1.1996606 -1 NA NA
## 1256 1.1996606 -1 NA NA
## 1257 1.1996606 -1 NA NA
## 1258 1.0017600 1 NA NA
## 1259 1.0017600 1 NA NA
## 1260 1.0017600 1 NA NA
## 1261 1.0017600 1 NA NA
## 1262 1.0017600 1 NA NA
## 1263 1.3296803 1 -2.236300237 -5.1713768
## 1264 1.3296803 1 -2.236300237 -5.1713768
## 1265 1.3296803 1 -2.236300237 -5.1713768
## 1266 1.3296803 1 -2.236300237 -5.1713768
## 1267 1.3296803 1 -2.236300237 -5.1713768
## 1268 0.9162007 1 5.688210834 -0.9965263
## 1269 0.9162007 1 5.688210834 -0.9965263
## 1270 0.9162007 1 5.688210834 -0.9965263
## 1271 0.9162007 1 5.688210834 -0.9965263
## 1272 0.9162007 1 5.688210834 -0.9965263
## 1273 1.5513114 1 0.753372484 -19.2656159
## 1274 1.5513114 1 0.753372484 -19.2656159
## 1275 1.5513114 1 0.753372484 -19.2656159
## 1276 1.5513114 1 0.753372484 -19.2656159
## 1277 1.5513114 1 0.753372484 -19.2656159
## 1278 0.9404781 1 0.406052682 2.4641692
## 1279 0.9404781 1 0.406052682 2.4641692
## 1280 0.9404781 1 0.406052682 2.4641692
## 1281 0.9404781 1 0.406052682 2.4641692
## 1282 0.9404781 1 0.406052682 2.4641692
## 1283 1.4616698 1 -3.706300567 -3.8405957
## 1284 1.4616698 1 -3.706300567 -3.8405957
## 1285 1.4616698 1 -3.706300567 -3.8405957
## 1286 1.4616698 1 -3.706300567 -3.8405957
## 1287 1.4616698 1 -3.706300567 -3.8405957
## 1288 0.9285475 -1 NA NA
## 1289 0.9285475 -1 NA NA
## 1290 0.9285475 -1 NA NA
## 1291 0.9285475 -1 NA NA
## 1292 0.9285475 -1 NA NA
## 1293 1.2718363 1 NA NA
## 1294 1.2718363 1 NA NA
## 1295 1.2718363 1 NA NA
## 1296 1.2718363 1 NA NA
## 1297 1.2718363 1 NA NA
## 1298 1.0318377 -1 -5.842858879 3.7852324
## 1299 1.0318377 -1 -5.842858879 3.7852324
## 1300 1.0318377 -1 -5.842858879 3.7852324
## 1301 1.0318377 -1 -5.842858879 3.7852324
## 1302 1.0318377 -1 -5.842858879 3.7852324
## 1303 1.3094597 1 NA NA
## 1304 1.3094597 1 NA NA
## 1305 1.3094597 1 NA NA
## 1306 1.3094597 1 NA NA
## 1307 1.3094597 1 NA NA
## 1308 1.4323123 1 NA NA
## 1309 1.4323123 1 NA NA
## 1310 1.4323123 1 NA NA
## 1311 1.4323123 1 NA NA
## 1312 1.4323123 1 NA NA
## 1313 1.5057421 1 3.693606073 -9.4388387
## 1314 1.5057421 1 3.693606073 -9.4388387
## 1315 1.5057421 1 3.693606073 -9.4388387
## 1316 1.5057421 1 3.693606073 -9.4388387
## 1317 1.5057421 1 3.693606073 -9.4388387
## 1318 1.3990264 1 NA NA
## 1319 1.3990264 1 NA NA
## 1320 1.3990264 1 NA NA
## 1321 1.3990264 1 NA NA
## 1322 1.3990264 1 NA NA
## 1323 1.2440800 1 NA NA
## 1324 1.2440800 1 NA NA
## 1325 1.2440800 1 NA NA
## 1326 1.2440800 1 NA NA
## 1327 1.2440800 1 NA NA
## 1328 1.4464073 1 NA NA
## 1329 1.4464073 1 NA NA
## 1330 1.4464073 1 NA NA
## 1331 1.4464073 1 NA NA
## 1332 1.4464073 1 NA NA
## 1333 1.4301964 1 NA NA
## 1334 1.4301964 1 NA NA
## 1335 1.4301964 1 NA NA
## 1336 1.4301964 1 NA NA
## 1337 1.4301964 1 NA NA
## 1338 1.3322974 1 NA NA
## 1339 1.3322974 1 NA NA
## 1340 1.3322974 1 NA NA
## 1341 1.3322974 1 NA NA
## 1342 1.3322974 1 NA NA
## 1343 1.2446706 1 NA NA
## 1344 1.2446706 1 NA NA
## 1345 1.2446706 1 NA NA
## 1346 1.2446706 1 NA NA
## 1347 1.2446706 1 NA NA
## 1348 1.3223598 1 NA NA
## 1349 1.3223598 1 NA NA
## 1350 1.3223598 1 NA NA
## 1351 1.3223598 1 NA NA
## 1352 1.3223598 1 NA NA
## 1353 1.1343777 1 NA NA
## 1354 1.1343777 1 NA NA
## 1355 1.1343777 1 NA NA
## 1356 1.1343777 1 NA NA
## 1357 1.1343777 1 NA NA
## 1358 1.0759987 1 NA NA
## 1359 1.0759987 1 NA NA
## 1360 1.0759987 1 NA NA
## 1361 1.0759987 1 NA NA
## 1362 1.0759987 1 NA NA
## 1363 0.9617815 -1 3.185521705 2.7259361
## 1364 0.9617815 -1 3.185521705 2.7259361
## 1365 0.9617815 -1 3.185521705 2.7259361
## 1366 0.9617815 -1 3.185521705 2.7259361
## 1367 0.9617815 -1 3.185521705 2.7259361
## 1368 1.1350617 -1 NA NA
## 1369 1.1350617 -1 NA NA
## 1370 1.1350617 -1 NA NA
## 1371 1.1350617 -1 NA NA
## 1372 1.1350617 -1 NA NA
## 1373 0.9633394 1 NA NA
## 1374 0.9633394 1 NA NA
## 1375 0.9633394 1 NA NA
## 1376 0.9633394 1 NA NA
## 1377 0.9633394 1 NA NA
## 1378 1.0922047 1 -77.728518943 -2.3719798
## 1379 1.0922047 1 -77.728518943 -2.3719798
## 1380 1.0922047 1 -77.728518943 -2.3719798
## 1381 1.0922047 1 -77.728518943 -2.3719798
## 1382 1.0922047 1 -77.728518943 -2.3719798
## 1383 1.2784608 1 NA NA
## 1384 1.2784608 1 NA NA
## 1385 1.2784608 1 NA NA
## 1386 1.2784608 1 NA NA
## 1387 1.2784608 1 NA NA
## 1388 1.0854380 -1 14.428103213 -7.0531405
## 1389 1.0854380 -1 14.428103213 -7.0531405
## 1390 1.0854380 -1 14.428103213 -7.0531405
## 1391 1.0854380 -1 14.428103213 -7.0531405
## 1392 1.0854380 -1 14.428103213 -7.0531405
## 1393 1.0743408 1 NA NA
## 1394 1.0743408 1 NA NA
## 1395 1.0743408 1 NA NA
## 1396 1.0743408 1 NA NA
## 1397 1.0743408 1 NA NA
## 1398 0.9880804 1 NA NA
## 1399 0.9880804 1 NA NA
## 1400 0.9880804 1 NA NA
## 1401 0.9880804 1 NA NA
## 1402 0.9880804 1 NA NA
## 1403 1.0507704 -1 NA NA
## 1404 1.0507704 -1 NA NA
## 1405 1.0507704 -1 NA NA
## 1406 1.0507704 -1 NA NA
## 1407 1.0507704 -1 NA NA
## 1408 1.2829650 1 NA NA
## 1409 1.2829650 1 NA NA
## 1410 1.2829650 1 NA NA
## 1411 1.2829650 1 NA NA
## 1412 1.2829650 1 NA NA
## 1413 1.4085758 1 3.063418650 -0.7587468
## 1414 1.4085758 1 3.063418650 -0.7587468
## 1415 1.4085758 1 3.063418650 -0.7587468
## 1416 1.4085758 1 3.063418650 -0.7587468
## 1417 1.4085758 1 3.063418650 -0.7587468
## 1418 1.0277480 -1 -3.607042860 1.7323589
## 1419 1.0277480 -1 -3.607042860 1.7323589
## 1420 1.0277480 -1 -3.607042860 1.7323589
## 1421 1.0277480 -1 -3.607042860 1.7323589
## 1422 1.0277480 -1 -3.607042860 1.7323589
## 1423 1.2127093 -1 NA NA
## 1424 1.2127093 -1 NA NA
## 1425 1.2127093 -1 NA NA
## 1426 1.2127093 -1 NA NA
## 1427 1.2127093 -1 NA NA
## 1428 1.1499568 1 -7.781947926 -1.1505779
## 1429 1.1499568 1 -7.781947926 -1.1505779
## 1430 1.1499568 1 -7.781947926 -1.1505779
## 1431 1.1499568 1 -7.781947926 -1.1505779
## 1432 1.1499568 1 -7.781947926 -1.1505779
## 1433 1.3875184 1 -0.801759901 -5.9200950
## 1434 1.3875184 1 -0.801759901 -5.9200950
## 1435 1.3875184 1 -0.801759901 -5.9200950
## 1436 1.3875184 1 -0.801759901 -5.9200950
## 1437 1.3875184 1 -0.801759901 -5.9200950
## 1438 1.3078923 -1 NA NA
## 1439 1.3078923 -1 NA NA
## 1440 1.3078923 -1 NA NA
## 1441 1.3078923 -1 NA NA
## 1442 1.3078923 -1 NA NA
## 1443 1.3542102 -1 -0.942488031 -4.7073733
## 1444 1.3542102 -1 -0.942488031 -4.7073733
## 1445 1.3542102 -1 -0.942488031 -4.7073733
## 1446 1.3542102 -1 -0.942488031 -4.7073733
## 1447 1.3542102 -1 -0.942488031 -4.7073733
## 1448 1.1362554 -1 NA NA
## 1449 1.1362554 -1 NA NA
## 1450 1.1362554 -1 NA NA
## 1451 1.1362554 -1 NA NA
## 1452 1.1362554 -1 NA NA
## 1453 1.1020076 1 NA NA
## 1454 1.1020076 1 NA NA
## 1455 1.1020076 1 NA NA
## 1456 1.1020076 1 NA NA
## 1457 1.1020076 1 NA NA
## 1458 1.4848528 1 NA NA
## 1459 1.4848528 1 NA NA
## 1460 1.4848528 1 NA NA
## 1461 1.4848528 1 NA NA
## 1462 1.4848528 1 NA NA
## 1463 1.3058568 1 -11.679504686 -2.8304344
## 1464 1.3058568 1 -11.679504686 -2.8304344
## 1465 1.3058568 1 -11.679504686 -2.8304344
## 1466 1.3058568 1 -11.679504686 -2.8304344
## 1467 1.3058568 1 -11.679504686 -2.8304344
## 1468 1.2279295 1 NA NA
## 1469 1.2279295 1 NA NA
## 1470 1.2279295 1 NA NA
## 1471 1.2279295 1 NA NA
## 1472 1.2279295 1 NA NA
## 1473 1.0888979 -1 NA NA
## 1474 1.0888979 -1 NA NA
## 1475 1.0888979 -1 NA NA
## 1476 1.0888979 -1 NA NA
## 1477 1.0888979 -1 NA NA
## 1478 1.3509839 1 NA NA
## 1479 1.3509839 1 NA NA
## 1480 1.3509839 1 NA NA
## 1481 1.3509839 1 NA NA
## 1482 1.3509839 1 NA NA
## 1483 1.5780410 1 NA NA
## 1484 1.5780410 1 NA NA
## 1485 1.5780410 1 NA NA
## 1486 1.5780410 1 NA NA
## 1487 1.5780410 1 NA NA
## 1488 1.2406171 1 0.318126553 -3.8505179
## 1489 1.2406171 1 0.318126553 -3.8505179
## 1490 1.2406171 1 0.318126553 -3.8505179
## 1491 1.2406171 1 0.318126553 -3.8505179
## 1492 1.2406171 1 0.318126553 -3.8505179
## 1493 1.2455396 1 -3.374188696 -0.8195624
## 1494 1.2455396 1 -3.374188696 -0.8195624
## 1495 1.2455396 1 -3.374188696 -0.8195624
## 1496 1.2455396 1 -3.374188696 -0.8195624
## 1497 1.2455396 1 -3.374188696 -0.8195624
## 1498 1.1588844 -1 -1.467916881 -2.7838926
## 1499 1.1588844 -1 -1.467916881 -2.7838926
## 1500 1.1588844 -1 -1.467916881 -2.7838926
## 1501 1.1588844 -1 -1.467916881 -2.7838926
## 1502 1.1588844 -1 -1.467916881 -2.7838926
## 1503 1.1189100 1 -11.193773265 1.3315790
## 1504 1.1189100 1 -11.193773265 1.3315790
## 1505 1.1189100 1 -11.193773265 1.3315790
## 1506 1.1189100 1 -11.193773265 1.3315790
## 1507 1.1189100 1 -11.193773265 1.3315790
## 1508 1.2639592 1 NA NA
## 1509 1.2639592 1 NA NA
## 1510 1.2639592 1 NA NA
## 1511 1.2639592 1 NA NA
## 1512 1.2639592 1 NA NA
## 1513 1.1611944 -1 NA NA
## 1514 1.1611944 -1 NA NA
## 1515 1.1611944 -1 NA NA
## 1516 1.1611944 -1 NA NA
## 1517 1.1611944 -1 NA NA
## 1518 0.9706360 -1 NA NA
## 1519 0.9706360 -1 NA NA
## 1520 0.9706360 -1 NA NA
## 1521 0.9706360 -1 NA NA
## 1522 0.9706360 -1 NA NA
## 1523 1.3631488 1 NA NA
## 1524 1.3631488 1 NA NA
## 1525 1.3631488 1 NA NA
## 1526 1.3631488 1 NA NA
## 1527 1.3631488 1 NA NA
## 1528 1.0303301 1 -19.476040738 2.1613254
## 1529 1.0303301 1 -19.476040738 2.1613254
## 1530 1.0303301 1 -19.476040738 2.1613254
## 1531 1.0303301 1 -19.476040738 2.1613254
## 1532 1.0303301 1 -19.476040738 2.1613254
## 1533 1.0554535 -1 NA NA
## 1534 1.0554535 -1 NA NA
## 1535 1.0554535 -1 NA NA
## 1536 1.0554535 -1 NA NA
## 1537 1.0554535 -1 NA NA
## 1538 1.0474145 1 NA NA
## PC112_score PC7_score PC1_score PC66_score PC40_score
## 1 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 2 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 3 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 4 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 5 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 6 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 7 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 8 1.41482742 -2.71612911 6.23314355 12.413646987 2.58638942
## 9 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 10 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 11 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 12 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 13 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 14 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 15 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 16 -0.94202238 -5.14209189 -4.41896101 -5.359086941 -2.42106668
## 17 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 18 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 19 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 20 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 21 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 22 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 23 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 24 -0.30487409 -2.50411842 24.46468703 13.074121303 3.93394058
## 25 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 26 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 27 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 28 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 29 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 30 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 31 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 32 4.06975913 8.75448507 -15.18244223 -10.576748066 -12.15269146
## 33 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 34 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 35 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 36 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 37 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 38 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 39 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 40 1.06481728 -5.08754874 -10.30329456 -0.584630485 10.32790668
## 41 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 42 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 43 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 44 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 45 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 46 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 47 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 48 2.57039210 -0.10058477 -26.92813976 5.993510132 -1.63933347
## 49 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 50 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 51 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 52 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 53 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 54 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 55 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 56 1.69344694 15.87260871 32.79263226 3.753873000 -15.09337712
## 57 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 58 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 59 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 60 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 61 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 62 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 63 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 64 -3.09392248 -8.22870053 3.85631411 -7.480468096 7.05330552
## 65 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 66 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 67 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 68 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 69 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 70 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 71 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 72 4.09626750 -8.41705516 -10.19656610 0.253154674 24.00929325
## 73 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 74 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 75 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 76 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 77 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 78 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 79 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 80 3.45832549 -3.62988893 20.14590708 -2.421270788 -6.31647267
## 81 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 82 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 83 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 84 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 85 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 86 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 87 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 88 5.49690606 -8.15839289 8.84791159 -24.327581687 0.73194288
## 89 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 90 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 91 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 92 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 93 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 94 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 95 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 96 -0.14054158 -1.09175451 23.55689697 -1.949104290 -30.50411851
## 97 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 98 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 99 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 100 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 101 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 102 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 103 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 104 3.46043389 4.76666879 18.11362824 19.019516000 -2.04332776
## 105 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 106 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 107 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 108 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 109 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 110 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 111 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 112 1.11033424 -3.59688072 -3.85981934 0.142652941 3.75393846
## 113 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 114 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 115 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 116 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 117 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 118 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 119 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 120 0.76158843 -34.11131386 -11.04831987 -1.160543587 -4.84763713
## 121 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 122 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 123 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 124 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 125 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 126 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 127 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 128 3.08386076 2.65779105 -7.70576903 5.603068151 -16.05301400
## 129 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 130 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 131 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 132 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 133 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 134 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 135 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 136 2.37308307 -1.71937873 -15.55822496 -1.923228498 -0.85182804
## 137 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 138 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 139 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 140 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 141 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 142 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 143 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 144 -0.19951030 7.19508682 41.63242907 1.597235730 -2.26200947
## 145 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 146 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 147 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 148 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 149 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 150 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 151 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 152 0.11284730 0.02294075 22.17328423 -45.749710004 11.00995513
## 153 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 154 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 155 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 156 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 157 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 158 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 159 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 160 0.84844616 50.96590009 25.83176742 0.185396519 0.85051155
## 161 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 162 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 163 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 164 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 165 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 166 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 167 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 168 -2.12367912 -0.15146528 -17.49401895 42.861466817 -0.52254619
## 169 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 170 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 171 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 172 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 173 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 174 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 175 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 176 -90.28117240 -0.80593549 0.12321593 3.449895023 3.14633128
## 177 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 178 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 179 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 180 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 181 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 182 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 183 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 184 -1.38824275 -3.07295238 -2.48791572 -5.235312494 0.41375467
## 185 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 186 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 187 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 188 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 189 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 190 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 191 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 192 0.60679121 78.39520436 -29.87686251 -2.119202927 5.51680476
## 193 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 194 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 195 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 196 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 197 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 198 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 199 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 200 1.72002701 -9.44473261 3.33931560 4.618296668 -3.76449137
## 201 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 202 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 203 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 204 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 205 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 206 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 207 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 208 1.53431077 6.66470387 31.03012059 1.587183271 -7.89447897
## 209 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 210 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 211 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 212 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 213 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 214 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 215 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 216 -1.36507485 -10.57886412 26.58427770 3.357769782 0.54486072
## 217 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 218 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 219 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 220 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 221 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 222 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 223 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 224 -0.33347918 -2.72522057 59.11789601 -1.515519583 -1.11485043
## 225 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 226 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 227 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 228 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 229 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 230 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 231 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 232 -17.52112969 -1.28696034 -16.07380133 1.036702783 -1.61635012
## 233 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 234 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 235 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 236 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 237 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 238 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 239 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 240 -0.70087966 -7.63281055 20.50935956 2.587496046 26.15518865
## 241 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 242 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 243 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 244 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 245 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 246 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 247 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 248 -1.81448962 1.31472114 17.64589659 -51.840328634 18.75066816
## 249 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 250 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 251 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 252 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 253 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 254 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 255 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 256 -0.32596320 -0.97014158 -17.89513729 5.078388464 3.37125941
## 257 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 258 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 259 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 260 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 261 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 262 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 263 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 264 18.34664708 -0.94620473 -9.24192251 -6.481639298 -3.69835429
## 265 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 266 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 267 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 268 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 269 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 270 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 271 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 272 0.80995532 -5.05251038 9.76205120 -4.950203821 19.31745776
## 273 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 274 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 275 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 276 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 277 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 278 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 279 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 280 0.72884703 -1.99858642 18.88564484 8.453049491 -25.49690952
## 281 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 282 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 283 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 284 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 285 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 286 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 287 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 288 5.08701119 7.79551568 25.04248801 -4.550766956 58.91505283
## 289 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 290 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 291 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 292 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 293 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 294 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 295 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 296 0.56265704 0.32621856 5.58371231 -7.831063075 -11.25115673
## 297 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 298 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 299 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 300 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 301 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 302 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 303 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 304 1.92968876 0.47161884 0.05938773 -8.795799109 -3.67565375
## 305 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 306 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 307 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 308 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 309 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 310 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 311 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 312 3.49763593 0.44425193 -17.77270663 5.339139094 1.58036577
## 313 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 314 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 315 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 316 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 317 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 318 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 319 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 320 2.10536299 7.10994721 23.45251163 13.085357465 31.62115787
## 321 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 322 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 323 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 324 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 325 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 326 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 327 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 328 3.43002986 10.07209426 15.54084275 3.762715122 -49.56405424
## 329 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 330 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 331 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 332 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 333 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 334 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 335 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 336 1.08732544 3.86304219 -12.49231608 -14.245844418 -11.94440794
## 337 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 338 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 339 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 340 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 341 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 342 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 343 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 344 1.47093438 -4.37098625 25.21624625 1.575371435 -4.05796354
## 345 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 346 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 347 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 348 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 349 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 350 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 351 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 352 -1.50782569 0.06207519 22.71903695 1.789779983 -21.10752288
## 353 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 354 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 355 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 356 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 357 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 358 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 359 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 360 1.66832739 -3.91997909 14.99814115 -2.873891971 -4.42064725
## 361 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 362 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 363 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 364 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 365 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 366 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 367 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 368 -0.75633295 3.14334305 28.93647718 1.983797445 -7.77837819
## 369 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 370 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 371 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 372 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 373 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 374 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 375 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 376 0.30172836 0.05032022 11.93830677 17.273456541 0.36103667
## 377 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 378 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 379 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 380 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 381 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 382 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 383 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 384 -1.66614226 -2.46225004 -25.47591357 26.947729359 -4.77460560
## 385 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 386 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 387 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 388 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 389 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 390 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 391 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 392 4.38739970 -0.89303678 -6.87835906 2.934353027 1.45405494
## 393 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 394 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 395 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 396 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 397 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 398 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 399 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 400 17.56125578 -6.67846467 -0.53605085 -0.608182991 2.23225286
## 401 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 402 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 403 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 404 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 405 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 406 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 407 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 408 -0.33872464 4.46630164 25.52184984 6.951538884 45.01918195
## 409 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 410 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 411 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 412 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 413 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 414 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 415 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 416 6.35973342 1.01199408 18.89375271 35.619404536 29.38345385
## 417 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 418 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 419 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 420 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 421 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 422 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 423 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 424 10.46010165 -1.55728415 -5.67663414 6.474605027 4.75413767
## 425 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 426 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 427 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 428 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 429 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 430 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 431 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 432 1.46394097 -13.53205249 3.90394336 7.824455606 -22.76778744
## 433 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 434 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 435 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 436 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 437 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 438 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 439 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 440 3.55724682 -0.07887528 3.83928528 -4.590020117 4.70524471
## 441 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 442 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 443 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 444 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 445 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 446 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 447 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 448 -0.28229712 -26.50676886 32.24724162 -0.004621172 3.80023251
## 449 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 450 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 451 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 452 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 453 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 454 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 455 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 456 -0.25171196 -7.38541239 -12.23237279 -5.610389184 4.65325900
## 457 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 458 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 459 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 460 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 461 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 462 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 463 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 464 -0.54389468 -2.63448996 -12.91022816 7.755154481 -2.26947397
## 465 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 466 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 467 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 468 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 469 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 470 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 471 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 472 1.82989880 2.85971193 -16.15826109 -2.939829307 -11.72133143
## 473 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 474 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 475 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 476 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 477 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 478 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 479 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 480 -0.22801902 -10.38620336 29.50098979 1.543703845 -6.95906033
## 481 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 482 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 483 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 484 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 485 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 486 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 487 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 488 0.70216285 -13.30394620 13.59060834 -0.689695218 6.46961300
## 489 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 490 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 491 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 492 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 493 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 494 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 495 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 496 1.61367887 -15.97739447 -28.52454721 2.142264189 -1.85068193
## 497 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 498 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 499 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 500 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 501 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 502 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 503 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 504 0.67117847 -4.81365366 -6.40692291 13.135559834 -4.17317982
## 505 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 506 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 507 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 508 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 509 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 510 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 511 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 512 -0.87557900 30.17712273 -32.36935873 -6.031591060 4.10794695
## 513 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 514 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 515 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 516 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 517 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 518 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 519 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 520 0.27575767 -2.79306805 -20.58711518 1.649971987 -19.70609676
## 521 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 522 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 523 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 524 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 525 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 526 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 527 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 528 0.29420277 -6.00291431 -14.46494379 19.736026445 24.84103552
## 529 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 530 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 531 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 532 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 533 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 534 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 535 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 536 0.24859574 -4.34738187 10.71342402 1.898494645 -6.08753618
## 537 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 538 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 539 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 540 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 541 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 542 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 543 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 544 1.04786395 -5.70931731 -15.10629901 32.680370800 -5.46802402
## 545 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 546 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 547 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 548 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 549 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 550 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 551 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 552 -13.49806089 -5.32209970 3.70861893 3.677859021 4.58926632
## 553 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 554 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 555 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 556 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 557 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 558 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 559 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 560 0.78835017 1.11914251 -19.39208862 -10.346459258 0.76258299
## 561 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 562 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 563 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 564 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 565 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 566 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 567 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 568 -0.22722300 0.67891957 -7.76030284 9.306278793 12.38813073
## 569 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 570 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 571 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 572 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 573 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 574 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 575 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 576 0.55592995 -0.65529566 -11.87422195 -2.859954223 -0.31893334
## 577 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 578 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 579 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 580 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 581 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 582 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 583 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 584 -3.80260089 -6.33286665 -5.49014813 -8.544536353 -6.71985488
## 585 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 586 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 587 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 588 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 589 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 590 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 591 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 592 -0.69833225 13.59550249 -39.60200084 -1.403672209 0.61729480
## 593 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 594 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 595 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 596 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 597 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 598 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 599 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 600 -0.51070829 46.43795425 -27.92398594 1.522734630 5.54541627
## 601 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 602 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 603 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 604 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 605 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 606 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 607 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 608 3.58772233 -5.40791757 3.25044638 6.484188301 -3.06789068
## 609 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 610 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 611 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 612 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 613 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 614 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 615 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 616 -5.87852973 -3.04292673 -11.55922671 -8.231557042 0.90129798
## 617 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 618 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 619 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 620 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 621 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 622 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 623 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 624 0.74643863 -3.36925776 -16.65475607 -26.468564852 1.34823102
## 625 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 626 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 627 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 628 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 629 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 630 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 631 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 632 -0.67209007 -3.41278933 15.06440462 6.430716708 -20.29543236
## 633 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 634 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 635 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 636 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 637 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 638 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 639 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 640 0.14174393 -3.36011919 -21.42335239 2.550011768 4.07113080
## 641 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 642 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 643 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 644 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 645 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 646 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 647 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 648 -0.57290717 -10.30396627 -23.59884946 -3.595406774 12.75887808
## 649 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 650 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 651 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 652 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 653 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 654 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 655 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 656 2.12205158 -0.43799723 -9.07737729 -28.484940461 -10.15557137
## 657 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 658 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 659 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 660 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 661 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 662 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 663 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 664 0.57473922 -1.84609438 19.21983714 0.543492610 -30.74215315
## 665 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 666 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 667 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 668 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 669 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 670 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 671 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 672 -0.10433305 8.69799736 28.66880997 -1.378964228 -18.49206474
## 673 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 674 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 675 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 676 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 677 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 678 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 679 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 680 -3.56284029 -4.25132188 -8.39755583 5.146111613 -4.62506958
## 681 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 682 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 683 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 684 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 685 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 686 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 687 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 688 -4.57014340 -18.26528348 18.34772321 0.098403547 2.09622969
## 689 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 690 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 691 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 692 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 693 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 694 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 695 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 696 7.39043719 -3.21636954 -14.67710233 -8.618889205 -1.58820490
## 697 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 698 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 699 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 700 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 701 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 702 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 703 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 704 3.10990156 -11.33437641 15.21827640 13.898955857 6.57202590
## 705 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 706 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 707 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 708 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 709 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 710 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 711 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 712 29.61972243 -4.71632574 -1.49233382 -5.296773360 -2.95465281
## 713 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 714 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 715 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 716 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 717 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 718 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 719 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 720 -3.38329741 0.45656899 -8.36421371 -10.873694627 2.21266819
## 721 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 722 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 723 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 724 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 725 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 726 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 727 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 728 5.26752742 -4.55718337 -10.15803990 13.622172044 2.54998252
## 729 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 730 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 731 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 732 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 733 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 734 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 735 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 736 -0.69609616 -31.40943322 -24.50665119 1.889767022 0.71898834
## 737 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 738 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 739 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 740 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 741 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 742 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 743 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 744 -0.53741862 -3.97569690 -7.10993446 -11.115767105 2.03420576
## 745 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 746 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 747 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 748 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 749 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 750 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 751 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 752 1.79026928 -6.46009742 -6.44048923 -14.390238469 4.98088310
## 753 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 754 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 755 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 756 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 757 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 758 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 759 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 760 -3.07589894 -3.93215655 3.06775319 15.330833860 -3.04907896
## 761 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 762 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 763 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 764 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 765 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 766 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 767 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 768 0.47533629 0.56941065 -12.88829037 14.743756189 1.42783164
## 769 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 770 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 771 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 772 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 773 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 774 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 775 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 776 8.12337519 0.74883721 -8.91061214 2.445399916 2.75174292
## 777 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 778 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 779 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 780 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 781 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 782 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 783 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 784 1.66257827 -12.32706646 2.48830925 6.156914761 21.03763743
## 785 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 786 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 787 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 788 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 789 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 790 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 791 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 792 -0.54986909 32.67969652 37.04523462 0.354975466 -6.78099871
## 793 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 794 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 795 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 796 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 797 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 798 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 799 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 800 1.55196100 -2.33440422 -23.01789727 2.063332695 -20.66490276
## 801 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 802 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 803 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 804 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 805 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 806 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 807 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 808 4.89835351 -4.76577809 -3.06498916 -8.175212235 -1.35816372
## 809 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 810 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 811 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 812 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 813 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 814 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 815 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 816 -5.01388730 -1.05597330 1.36412461 -26.049339658 -0.49978414
## 817 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 818 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 819 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 820 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 821 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 822 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 823 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 824 -51.00469958 -2.48565520 -2.96172726 -6.798566626 0.19059162
## 825 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 826 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 827 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 828 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 829 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 830 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 831 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 832 0.67901100 -2.52304770 11.60234492 -2.966182869 2.63205410
## 833 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 834 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 835 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 836 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 837 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 838 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 839 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 840 3.96146178 3.81092628 -15.25698950 -0.443889411 3.67071077
## 841 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 842 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 843 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 844 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 845 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 846 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 847 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 848 -0.93461338 -9.85296889 -9.53981821 8.137767889 1.92475898
## 849 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 850 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 851 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 852 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 853 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 854 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 855 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 856 3.28762834 -3.20333828 -27.29305343 -2.846598197 13.07759504
## 857 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 858 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 859 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 860 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 861 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 862 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 863 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 864 -0.31703921 -6.78112363 -27.68583609 -1.152078378 -13.45594415
## 865 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 866 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 867 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 868 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 869 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 870 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 871 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 872 -0.59528940 18.75580889 -28.04401415 -1.913913016 0.25616644
## 873 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 874 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 875 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 876 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 877 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 878 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 879 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 880 1.64722643 -7.31151634 -14.98776941 -0.579537404 7.32836828
## 881 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 882 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 883 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 884 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 885 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 886 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 887 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 888 15.28011277 -0.83298569 -0.02593743 -3.066991513 3.48450127
## 889 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 890 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 891 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 892 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 893 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 894 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 895 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 896 -1.39848049 -1.64974923 -17.15979721 -5.838278847 -10.76916406
## 897 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 898 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 899 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 900 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 901 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 902 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 903 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 904 -0.55960584 84.78034969 12.69724724 4.849053481 1.49106920
## 905 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 906 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 907 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 908 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 909 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 910 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 911 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 912 0.91196178 -7.53789866 -5.88516901 -32.536119610 4.61650834
## 913 1.09658863 -22.05762129 106.81554224 0.380929644 -1.67211880
## 914 1.09658863 -22.05762129 106.81554224 0.380929644 -1.67211880
## 915 1.09658863 -22.05762129 106.81554224 0.380929644 -1.67211880
## 916 1.09658863 -22.05762129 106.81554224 0.380929644 -1.67211880
## 917 1.09658863 -22.05762129 106.81554224 0.380929644 -1.67211880
## 918 -11.00325192 1.74367068 -3.80883935 -3.482292664 2.31008007
## 919 -11.00325192 1.74367068 -3.80883935 -3.482292664 2.31008007
## 920 -11.00325192 1.74367068 -3.80883935 -3.482292664 2.31008007
## 921 -11.00325192 1.74367068 -3.80883935 -3.482292664 2.31008007
## 922 -11.00325192 1.74367068 -3.80883935 -3.482292664 2.31008007
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -2.52236855 -1.24615817 -9.67751600 -3.263831137 -1.36424338
## 939 -2.52236855 -1.24615817 -9.67751600 -3.263831137 -1.36424338
## 940 -2.52236855 -1.24615817 -9.67751600 -3.263831137 -1.36424338
## 941 -2.52236855 -1.24615817 -9.67751600 -3.263831137 -1.36424338
## 942 -2.52236855 -1.24615817 -9.67751600 -3.263831137 -1.36424338
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -4.40157008 -1.69986129 0.55756872 -20.311679180 8.59160049
## 954 -4.40157008 -1.69986129 0.55756872 -20.311679180 8.59160049
## 955 -4.40157008 -1.69986129 0.55756872 -20.311679180 8.59160049
## 956 -4.40157008 -1.69986129 0.55756872 -20.311679180 8.59160049
## 957 -4.40157008 -1.69986129 0.55756872 -20.311679180 8.59160049
## 958 5.30817212 2.02029205 -7.91391677 -3.768091473 0.09389940
## 959 5.30817212 2.02029205 -7.91391677 -3.768091473 0.09389940
## 960 5.30817212 2.02029205 -7.91391677 -3.768091473 0.09389940
## 961 5.30817212 2.02029205 -7.91391677 -3.768091473 0.09389940
## 962 5.30817212 2.02029205 -7.91391677 -3.768091473 0.09389940
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 -3.46846604 10.55633117 28.10641573 -5.641999365 16.54172549
## 974 -3.46846604 10.55633117 28.10641573 -5.641999365 16.54172549
## 975 -3.46846604 10.55633117 28.10641573 -5.641999365 16.54172549
## 976 -3.46846604 10.55633117 28.10641573 -5.641999365 16.54172549
## 977 -3.46846604 10.55633117 28.10641573 -5.641999365 16.54172549
## 978 2.11196633 8.52346529 19.77501020 -8.754763776 17.09983113
## 979 2.11196633 8.52346529 19.77501020 -8.754763776 17.09983113
## 980 2.11196633 8.52346529 19.77501020 -8.754763776 17.09983113
## 981 2.11196633 8.52346529 19.77501020 -8.754763776 17.09983113
## 982 2.11196633 8.52346529 19.77501020 -8.754763776 17.09983113
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -1.53076817 27.41232969 28.23231245 1.679353846 0.07856601
## 994 -1.53076817 27.41232969 28.23231245 1.679353846 0.07856601
## 995 -1.53076817 27.41232969 28.23231245 1.679353846 0.07856601
## 996 -1.53076817 27.41232969 28.23231245 1.679353846 0.07856601
## 997 -1.53076817 27.41232969 28.23231245 1.679353846 0.07856601
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 0.74351486 5.98769258 4.58705813 -1.367055982 17.58753564
## 1009 0.74351486 5.98769258 4.58705813 -1.367055982 17.58753564
## 1010 0.74351486 5.98769258 4.58705813 -1.367055982 17.58753564
## 1011 0.74351486 5.98769258 4.58705813 -1.367055982 17.58753564
## 1012 0.74351486 5.98769258 4.58705813 -1.367055982 17.58753564
## 1013 0.33863553 22.64481462 -12.13308992 3.288419092 7.30646807
## 1014 0.33863553 22.64481462 -12.13308992 3.288419092 7.30646807
## 1015 0.33863553 22.64481462 -12.13308992 3.288419092 7.30646807
## 1016 0.33863553 22.64481462 -12.13308992 3.288419092 7.30646807
## 1017 0.33863553 22.64481462 -12.13308992 3.288419092 7.30646807
## 1018 -1.85742419 -7.76182794 22.85306855 2.052964941 -7.92428157
## 1019 -1.85742419 -7.76182794 22.85306855 2.052964941 -7.92428157
## 1020 -1.85742419 -7.76182794 22.85306855 2.052964941 -7.92428157
## 1021 -1.85742419 -7.76182794 22.85306855 2.052964941 -7.92428157
## 1022 -1.85742419 -7.76182794 22.85306855 2.052964941 -7.92428157
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 -1.04666767 -0.37022941 -8.47506308 -40.951131879 -11.99293528
## 1034 -1.04666767 -0.37022941 -8.47506308 -40.951131879 -11.99293528
## 1035 -1.04666767 -0.37022941 -8.47506308 -40.951131879 -11.99293528
## 1036 -1.04666767 -0.37022941 -8.47506308 -40.951131879 -11.99293528
## 1037 -1.04666767 -0.37022941 -8.47506308 -40.951131879 -11.99293528
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -1.53472445 0.38270459 26.19122887 8.171684763 -4.97819603
## 1069 -1.53472445 0.38270459 26.19122887 8.171684763 -4.97819603
## 1070 -1.53472445 0.38270459 26.19122887 8.171684763 -4.97819603
## 1071 -1.53472445 0.38270459 26.19122887 8.171684763 -4.97819603
## 1072 -1.53472445 0.38270459 26.19122887 8.171684763 -4.97819603
## 1073 0.94961924 14.22916874 23.18154369 -7.510703111 -16.08949523
## 1074 0.94961924 14.22916874 23.18154369 -7.510703111 -16.08949523
## 1075 0.94961924 14.22916874 23.18154369 -7.510703111 -16.08949523
## 1076 0.94961924 14.22916874 23.18154369 -7.510703111 -16.08949523
## 1077 0.94961924 14.22916874 23.18154369 -7.510703111 -16.08949523
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 -0.99259901 0.48315480 -9.68831120 15.351404556 -24.36155767
## 1084 -0.99259901 0.48315480 -9.68831120 15.351404556 -24.36155767
## 1085 -0.99259901 0.48315480 -9.68831120 15.351404556 -24.36155767
## 1086 -0.99259901 0.48315480 -9.68831120 15.351404556 -24.36155767
## 1087 -0.99259901 0.48315480 -9.68831120 15.351404556 -24.36155767
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 0.76272693 1.13621847 5.82958274 -16.394031051 3.94195095
## 1094 0.76272693 1.13621847 5.82958274 -16.394031051 3.94195095
## 1095 0.76272693 1.13621847 5.82958274 -16.394031051 3.94195095
## 1096 0.76272693 1.13621847 5.82958274 -16.394031051 3.94195095
## 1097 0.76272693 1.13621847 5.82958274 -16.394031051 3.94195095
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 1.80513810 2.25704423 6.30543478 -5.163750229 2.35937373
## 1104 1.80513810 2.25704423 6.30543478 -5.163750229 2.35937373
## 1105 1.80513810 2.25704423 6.30543478 -5.163750229 2.35937373
## 1106 1.80513810 2.25704423 6.30543478 -5.163750229 2.35937373
## 1107 1.80513810 2.25704423 6.30543478 -5.163750229 2.35937373
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 3.17769973 -1.47132920 10.27258683 3.051160147 4.86844262
## 1114 3.17769973 -1.47132920 10.27258683 3.051160147 4.86844262
## 1115 3.17769973 -1.47132920 10.27258683 3.051160147 4.86844262
## 1116 3.17769973 -1.47132920 10.27258683 3.051160147 4.86844262
## 1117 3.17769973 -1.47132920 10.27258683 3.051160147 4.86844262
## 1118 0.06067826 5.46419091 20.72812479 7.571199541 -44.86455824
## 1119 0.06067826 5.46419091 20.72812479 7.571199541 -44.86455824
## 1120 0.06067826 5.46419091 20.72812479 7.571199541 -44.86455824
## 1121 0.06067826 5.46419091 20.72812479 7.571199541 -44.86455824
## 1122 0.06067826 5.46419091 20.72812479 7.571199541 -44.86455824
## 1123 1.15171934 10.32352568 -3.73973969 45.009060154 10.14105025
## 1124 1.15171934 10.32352568 -3.73973969 45.009060154 10.14105025
## 1125 1.15171934 10.32352568 -3.73973969 45.009060154 10.14105025
## 1126 1.15171934 10.32352568 -3.73973969 45.009060154 10.14105025
## 1127 1.15171934 10.32352568 -3.73973969 45.009060154 10.14105025
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 -1.21513194 9.61966953 21.34054087 2.198621122 -13.31978958
## 1134 -1.21513194 9.61966953 21.34054087 2.198621122 -13.31978958
## 1135 -1.21513194 9.61966953 21.34054087 2.198621122 -13.31978958
## 1136 -1.21513194 9.61966953 21.34054087 2.198621122 -13.31978958
## 1137 -1.21513194 9.61966953 21.34054087 2.198621122 -13.31978958
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 -0.11898415 -12.12820164 15.73400185 2.579515631 4.77782291
## 1144 -0.11898415 -12.12820164 15.73400185 2.579515631 4.77782291
## 1145 -0.11898415 -12.12820164 15.73400185 2.579515631 4.77782291
## 1146 -0.11898415 -12.12820164 15.73400185 2.579515631 4.77782291
## 1147 -0.11898415 -12.12820164 15.73400185 2.579515631 4.77782291
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 -0.41250613 -1.23795847 -10.58664030 -36.186124016 -6.10024897
## 1154 -0.41250613 -1.23795847 -10.58664030 -36.186124016 -6.10024897
## 1155 -0.41250613 -1.23795847 -10.58664030 -36.186124016 -6.10024897
## 1156 -0.41250613 -1.23795847 -10.58664030 -36.186124016 -6.10024897
## 1157 -0.41250613 -1.23795847 -10.58664030 -36.186124016 -6.10024897
## 1158 2.11696558 3.07458923 -2.49205170 15.195654647 0.69929408
## 1159 2.11696558 3.07458923 -2.49205170 15.195654647 0.69929408
## 1160 2.11696558 3.07458923 -2.49205170 15.195654647 0.69929408
## 1161 2.11696558 3.07458923 -2.49205170 15.195654647 0.69929408
## 1162 2.11696558 3.07458923 -2.49205170 15.195654647 0.69929408
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 -2.14336550 0.28635431 13.20801955 -43.267893276 -5.17419859
## 1189 -2.14336550 0.28635431 13.20801955 -43.267893276 -5.17419859
## 1190 -2.14336550 0.28635431 13.20801955 -43.267893276 -5.17419859
## 1191 -2.14336550 0.28635431 13.20801955 -43.267893276 -5.17419859
## 1192 -2.14336550 0.28635431 13.20801955 -43.267893276 -5.17419859
## 1193 1.14420095 7.05057407 26.67104275 14.919182814 24.92136089
## 1194 1.14420095 7.05057407 26.67104275 14.919182814 24.92136089
## 1195 1.14420095 7.05057407 26.67104275 14.919182814 24.92136089
## 1196 1.14420095 7.05057407 26.67104275 14.919182814 24.92136089
## 1197 1.14420095 7.05057407 26.67104275 14.919182814 24.92136089
## 1198 2.70013347 3.68949578 14.76429039 7.757382358 4.04537622
## 1199 2.70013347 3.68949578 14.76429039 7.757382358 4.04537622
## 1200 2.70013347 3.68949578 14.76429039 7.757382358 4.04537622
## 1201 2.70013347 3.68949578 14.76429039 7.757382358 4.04537622
## 1202 2.70013347 3.68949578 14.76429039 7.757382358 4.04537622
## 1203 3.50732683 2.32277628 -2.44021919 -21.853871369 15.17730291
## 1204 3.50732683 2.32277628 -2.44021919 -21.853871369 15.17730291
## 1205 3.50732683 2.32277628 -2.44021919 -21.853871369 15.17730291
## 1206 3.50732683 2.32277628 -2.44021919 -21.853871369 15.17730291
## 1207 3.50732683 2.32277628 -2.44021919 -21.853871369 15.17730291
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -1.06746295 3.99030709 17.84653057 3.744888740 15.02044220
## 1214 -1.06746295 3.99030709 17.84653057 3.744888740 15.02044220
## 1215 -1.06746295 3.99030709 17.84653057 3.744888740 15.02044220
## 1216 -1.06746295 3.99030709 17.84653057 3.744888740 15.02044220
## 1217 -1.06746295 3.99030709 17.84653057 3.744888740 15.02044220
## 1218 -2.38856237 -0.05753869 -6.58881496 67.730276498 -12.46844581
## 1219 -2.38856237 -0.05753869 -6.58881496 67.730276498 -12.46844581
## 1220 -2.38856237 -0.05753869 -6.58881496 67.730276498 -12.46844581
## 1221 -2.38856237 -0.05753869 -6.58881496 67.730276498 -12.46844581
## 1222 -2.38856237 -0.05753869 -6.58881496 67.730276498 -12.46844581
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 1.20958450 6.68692309 19.57170780 -14.775700114 15.03058532
## 1239 1.20958450 6.68692309 19.57170780 -14.775700114 15.03058532
## 1240 1.20958450 6.68692309 19.57170780 -14.775700114 15.03058532
## 1241 1.20958450 6.68692309 19.57170780 -14.775700114 15.03058532
## 1242 1.20958450 6.68692309 19.57170780 -14.775700114 15.03058532
## 1243 -0.63947522 -9.02688875 24.51449402 -2.846148583 -21.54917537
## 1244 -0.63947522 -9.02688875 24.51449402 -2.846148583 -21.54917537
## 1245 -0.63947522 -9.02688875 24.51449402 -2.846148583 -21.54917537
## 1246 -0.63947522 -9.02688875 24.51449402 -2.846148583 -21.54917537
## 1247 -0.63947522 -9.02688875 24.51449402 -2.846148583 -21.54917537
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 -1.73765004 4.55921388 17.08517331 22.771231822 -3.46186895
## 1264 -1.73765004 4.55921388 17.08517331 22.771231822 -3.46186895
## 1265 -1.73765004 4.55921388 17.08517331 22.771231822 -3.46186895
## 1266 -1.73765004 4.55921388 17.08517331 22.771231822 -3.46186895
## 1267 -1.73765004 4.55921388 17.08517331 22.771231822 -3.46186895
## 1268 -15.95150572 -1.35417608 -8.35576355 -0.516011969 0.20515501
## 1269 -15.95150572 -1.35417608 -8.35576355 -0.516011969 0.20515501
## 1270 -15.95150572 -1.35417608 -8.35576355 -0.516011969 0.20515501
## 1271 -15.95150572 -1.35417608 -8.35576355 -0.516011969 0.20515501
## 1272 -15.95150572 -1.35417608 -8.35576355 -0.516011969 0.20515501
## 1273 0.28521174 2.38843892 31.62262590 2.728385426 8.30468790
## 1274 0.28521174 2.38843892 31.62262590 2.728385426 8.30468790
## 1275 0.28521174 2.38843892 31.62262590 2.728385426 8.30468790
## 1276 0.28521174 2.38843892 31.62262590 2.728385426 8.30468790
## 1277 0.28521174 2.38843892 31.62262590 2.728385426 8.30468790
## 1278 -2.47543769 0.25780067 -14.39905887 -0.819814653 -1.89235907
## 1279 -2.47543769 0.25780067 -14.39905887 -0.819814653 -1.89235907
## 1280 -2.47543769 0.25780067 -14.39905887 -0.819814653 -1.89235907
## 1281 -2.47543769 0.25780067 -14.39905887 -0.819814653 -1.89235907
## 1282 -2.47543769 0.25780067 -14.39905887 -0.819814653 -1.89235907
## 1283 0.30506442 7.04982573 28.88705320 -6.813645638 10.74032896
## 1284 0.30506442 7.04982573 28.88705320 -6.813645638 10.74032896
## 1285 0.30506442 7.04982573 28.88705320 -6.813645638 10.74032896
## 1286 0.30506442 7.04982573 28.88705320 -6.813645638 10.74032896
## 1287 0.30506442 7.04982573 28.88705320 -6.813645638 10.74032896
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 2.18027941 -3.23945494 -9.34571937 -8.592021357 2.64007536
## 1299 2.18027941 -3.23945494 -9.34571937 -8.592021357 2.64007536
## 1300 2.18027941 -3.23945494 -9.34571937 -8.592021357 2.64007536
## 1301 2.18027941 -3.23945494 -9.34571937 -8.592021357 2.64007536
## 1302 2.18027941 -3.23945494 -9.34571937 -8.592021357 2.64007536
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 -0.67151147 3.07286690 13.36056708 -7.154295224 13.05942025
## 1314 -0.67151147 3.07286690 13.36056708 -7.154295224 13.05942025
## 1315 -0.67151147 3.07286690 13.36056708 -7.154295224 13.05942025
## 1316 -0.67151147 3.07286690 13.36056708 -7.154295224 13.05942025
## 1317 -0.67151147 3.07286690 13.36056708 -7.154295224 13.05942025
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 -47.07943355 -0.77534029 -14.12655841 -1.573385125 0.32265384
## 1364 -47.07943355 -0.77534029 -14.12655841 -1.573385125 0.32265384
## 1365 -47.07943355 -0.77534029 -14.12655841 -1.573385125 0.32265384
## 1366 -47.07943355 -0.77534029 -14.12655841 -1.573385125 0.32265384
## 1367 -47.07943355 -0.77534029 -14.12655841 -1.573385125 0.32265384
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 0.81915749 -0.96539018 1.83756886 0.553874279 -3.17254185
## 1379 0.81915749 -0.96539018 1.83756886 0.553874279 -3.17254185
## 1380 0.81915749 -0.96539018 1.83756886 0.553874279 -3.17254185
## 1381 0.81915749 -0.96539018 1.83756886 0.553874279 -3.17254185
## 1382 0.81915749 -0.96539018 1.83756886 0.553874279 -3.17254185
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 2.65781257 -3.29401576 -5.61627516 -0.257447090 4.93427107
## 1389 2.65781257 -3.29401576 -5.61627516 -0.257447090 4.93427107
## 1390 2.65781257 -3.29401576 -5.61627516 -0.257447090 4.93427107
## 1391 2.65781257 -3.29401576 -5.61627516 -0.257447090 4.93427107
## 1392 2.65781257 -3.29401576 -5.61627516 -0.257447090 4.93427107
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 -1.81918374 0.38696123 16.11795689 2.006611710 -16.03885501
## 1414 -1.81918374 0.38696123 16.11795689 2.006611710 -16.03885501
## 1415 -1.81918374 0.38696123 16.11795689 2.006611710 -16.03885501
## 1416 -1.81918374 0.38696123 16.11795689 2.006611710 -16.03885501
## 1417 -1.81918374 0.38696123 16.11795689 2.006611710 -16.03885501
## 1418 -3.22975674 0.18426967 -10.65865642 2.522829950 -0.37575571
## 1419 -3.22975674 0.18426967 -10.65865642 2.522829950 -0.37575571
## 1420 -3.22975674 0.18426967 -10.65865642 2.522829950 -0.37575571
## 1421 -3.22975674 0.18426967 -10.65865642 2.522829950 -0.37575571
## 1422 -3.22975674 0.18426967 -10.65865642 2.522829950 -0.37575571
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -1.86385274 1.11704064 -7.37674325 1.717885943 1.89831746
## 1429 -1.86385274 1.11704064 -7.37674325 1.717885943 1.89831746
## 1430 -1.86385274 1.11704064 -7.37674325 1.717885943 1.89831746
## 1431 -1.86385274 1.11704064 -7.37674325 1.717885943 1.89831746
## 1432 -1.86385274 1.11704064 -7.37674325 1.717885943 1.89831746
## 1433 2.98138369 2.45978074 9.35561567 -2.924749593 -11.82242797
## 1434 2.98138369 2.45978074 9.35561567 -2.924749593 -11.82242797
## 1435 2.98138369 2.45978074 9.35561567 -2.924749593 -11.82242797
## 1436 2.98138369 2.45978074 9.35561567 -2.924749593 -11.82242797
## 1437 2.98138369 2.45978074 9.35561567 -2.924749593 -11.82242797
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 -0.40291719 -10.30686075 7.95038372 4.604960767 24.04170584
## 1444 -0.40291719 -10.30686075 7.95038372 4.604960767 24.04170584
## 1445 -0.40291719 -10.30686075 7.95038372 4.604960767 24.04170584
## 1446 -0.40291719 -10.30686075 7.95038372 4.604960767 24.04170584
## 1447 -0.40291719 -10.30686075 7.95038372 4.604960767 24.04170584
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -1.61341006 2.51435166 6.10384439 -0.103283706 7.58134681
## 1464 -1.61341006 2.51435166 6.10384439 -0.103283706 7.58134681
## 1465 -1.61341006 2.51435166 6.10384439 -0.103283706 7.58134681
## 1466 -1.61341006 2.51435166 6.10384439 -0.103283706 7.58134681
## 1467 -1.61341006 2.51435166 6.10384439 -0.103283706 7.58134681
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 -0.58722866 1.17785131 -0.11276840 -0.718279786 0.55946724
## 1489 -0.58722866 1.17785131 -0.11276840 -0.718279786 0.55946724
## 1490 -0.58722866 1.17785131 -0.11276840 -0.718279786 0.55946724
## 1491 -0.58722866 1.17785131 -0.11276840 -0.718279786 0.55946724
## 1492 -0.58722866 1.17785131 -0.11276840 -0.718279786 0.55946724
## 1493 -5.36690392 -2.44096736 -0.74189769 13.973966589 -1.32263619
## 1494 -5.36690392 -2.44096736 -0.74189769 13.973966589 -1.32263619
## 1495 -5.36690392 -2.44096736 -0.74189769 13.973966589 -1.32263619
## 1496 -5.36690392 -2.44096736 -0.74189769 13.973966589 -1.32263619
## 1497 -5.36690392 -2.44096736 -0.74189769 13.973966589 -1.32263619
## 1498 0.13125493 0.92590547 -5.06868173 3.275564280 3.85631257
## 1499 0.13125493 0.92590547 -5.06868173 3.275564280 3.85631257
## 1500 0.13125493 0.92590547 -5.06868173 3.275564280 3.85631257
## 1501 0.13125493 0.92590547 -5.06868173 3.275564280 3.85631257
## 1502 0.13125493 0.92590547 -5.06868173 3.275564280 3.85631257
## 1503 -1.85206837 -0.17853294 -14.74425725 -1.265176774 -6.34711226
## 1504 -1.85206837 -0.17853294 -14.74425725 -1.265176774 -6.34711226
## 1505 -1.85206837 -0.17853294 -14.74425725 -1.265176774 -6.34711226
## 1506 -1.85206837 -0.17853294 -14.74425725 -1.265176774 -6.34711226
## 1507 -1.85206837 -0.17853294 -14.74425725 -1.265176774 -6.34711226
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 0.21639563 -3.62441279 -12.77449907 4.730217596 1.89120082
## 1529 0.21639563 -3.62441279 -12.77449907 4.730217596 1.89120082
## 1530 0.21639563 -3.62441279 -12.77449907 4.730217596 1.89120082
## 1531 0.21639563 -3.62441279 -12.77449907 4.730217596 1.89120082
## 1532 0.21639563 -3.62441279 -12.77449907 4.730217596 1.89120082
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC104_score PC35_score PC85_score PC41_score PC33_score
## 1 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 2 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 3 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 4 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 5 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 6 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 7 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 8 -4.85360178 4.69620850 -45.45722806 -7.57925123 0.66463050
## 9 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 10 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 11 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 12 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 13 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 14 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 15 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 16 8.48537204 0.57878011 1.57433187 2.16409333 1.85853300
## 17 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 18 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 19 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 20 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 21 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 22 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 23 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 24 -1.19360068 -43.81717267 0.34839713 -29.94574123 33.45918781
## 25 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 26 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 27 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 28 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 29 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 30 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 31 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 32 1.58808904 7.56384586 0.59148543 -1.14565116 11.53743434
## 33 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 34 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 35 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 36 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 37 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 38 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 39 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 40 4.61963826 -3.11815324 -5.60053189 -6.58011122 5.13484123
## 41 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 42 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 43 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 44 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 45 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 46 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 47 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 48 -20.72630987 -1.09210060 -19.33907810 -2.08446719 3.38816427
## 49 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 50 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 51 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 52 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 53 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 54 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 55 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 56 -0.63516483 -2.34748168 -3.95267451 -3.82833449 -12.60878289
## 57 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 58 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 59 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 60 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 61 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 62 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 63 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 64 0.72036284 15.48385748 8.11444404 -35.78834874 6.97304417
## 65 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 66 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 67 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 68 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 69 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 70 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 71 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 72 3.37352630 16.06701658 -2.13010080 28.49457663 5.77648960
## 73 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 74 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 75 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 76 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 77 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 78 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 79 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 80 -1.91032651 1.11391105 11.27926108 -11.54629552 0.34422035
## 81 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 82 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 83 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 84 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 85 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 86 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 87 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 88 5.28976387 5.91806279 -46.72969147 2.90169911 5.46499991
## 89 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 90 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 91 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 92 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 93 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 94 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 95 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 96 0.62539009 -1.11491842 1.55497102 36.00189677 -5.89255520
## 97 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 98 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 99 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 100 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 101 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 102 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 103 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 104 0.64809708 -3.59136854 4.39406746 -3.22152529 -7.46233236
## 105 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 106 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 107 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 108 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 109 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 110 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 111 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 112 2.79021396 0.61042895 1.93937416 -3.92815632 -5.47791234
## 113 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 114 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 115 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 116 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 117 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 118 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 119 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 120 -1.66606377 -9.45102617 0.86061561 -3.15364274 13.77090251
## 121 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 122 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 123 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 124 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 125 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 126 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 127 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 128 1.95656473 -1.74375678 -6.06779986 10.87253634 12.98298086
## 129 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 130 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 131 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 132 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 133 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 134 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 135 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 136 -2.79949734 -8.56250938 4.26126746 -13.23501917 -0.84297778
## 137 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 138 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 139 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 140 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 141 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 142 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 143 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 144 -1.36706775 1.02821343 -0.11505458 -4.17307471 4.42444331
## 145 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 146 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 147 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 148 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 149 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 150 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 151 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 152 4.43118600 8.61752606 1.34940603 -7.17286935 9.19635250
## 153 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 154 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 155 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 156 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 157 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 158 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 159 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 160 0.02402179 0.43162580 -0.64584761 -2.32794156 0.22747002
## 161 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 162 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 163 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 164 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 165 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 166 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 167 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 168 -6.79140413 7.78564648 -4.28004657 0.12028836 -3.79453424
## 169 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 170 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 171 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 172 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 173 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 174 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 175 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 176 -1.34370281 3.59569165 5.97739004 0.84949998 0.97434438
## 177 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 178 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 179 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 180 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 181 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 182 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 183 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 184 -46.50884200 2.86321396 14.67624834 1.98214961 -0.80571267
## 185 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 186 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 187 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 188 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 189 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 190 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 191 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 192 -0.44106935 -0.50943796 0.86771388 2.14905434 -4.16807520
## 193 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 194 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 195 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 196 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 197 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 198 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 199 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 200 -0.66508294 6.02590467 7.56220209 -15.59172297 -1.42067403
## 201 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 202 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 203 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 204 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 205 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 206 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 207 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 208 -2.19154190 -6.93042748 1.90952548 0.09037259 3.07237503
## 209 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 210 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 211 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 212 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 213 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 214 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 215 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 216 -0.70634747 9.13210770 5.04265085 0.73402747 -11.12618964
## 217 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 218 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 219 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 220 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 221 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 222 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 223 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 224 0.79481736 -0.87518314 0.57300563 3.72273554 -1.63824313
## 225 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 226 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 227 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 228 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 229 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 230 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 231 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 232 16.96928348 -2.80409121 -3.08203002 -2.60754865 4.98025992
## 233 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 234 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 235 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 236 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 237 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 238 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 239 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 240 -0.88052669 -3.26413826 -0.39267459 -16.44674562 -73.47293643
## 241 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 242 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 243 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 244 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 245 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 246 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 247 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 248 4.09811234 -5.89400321 -8.44929730 -7.74631449 -3.89113660
## 249 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 250 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 251 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 252 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 253 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 254 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 255 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 256 -8.01682005 -13.19952625 14.96397388 -4.94245296 2.27826615
## 257 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 258 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 259 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 260 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 261 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 262 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 263 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 264 -10.63299481 5.11622721 16.80430306 -1.88746780 2.64870423
## 265 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 266 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 267 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 268 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 269 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 270 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 271 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 272 3.24224948 0.24726968 -3.49090009 -8.34846061 16.24766417
## 273 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 274 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 275 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 276 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 277 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 278 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 279 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 280 1.59261039 33.07987637 -0.33770895 -9.57637912 0.30971535
## 281 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 282 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 283 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 284 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 285 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 286 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 287 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 288 2.49546508 -25.87957077 4.14533052 51.62378370 -0.79216374
## 289 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 290 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 291 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 292 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 293 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 294 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 295 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 296 4.49540488 -0.58631955 4.90013923 0.99139882 3.44467706
## 297 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 298 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 299 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 300 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 301 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 302 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 303 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 304 -2.80461491 -0.64273298 21.04092990 -4.24531824 0.03192374
## 305 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 306 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 307 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 308 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 309 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 310 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 311 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 312 75.04919177 -2.36377949 -2.79330631 -4.64774028 0.71466030
## 313 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 314 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 315 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 316 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 317 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 318 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 319 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 320 0.46347183 11.26214795 -6.36699140 -41.94389439 15.08244590
## 321 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 322 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 323 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 324 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 325 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 326 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 327 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 328 -2.20617485 11.73506730 -7.09013648 10.52173773 6.27196128
## 329 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 330 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 331 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 332 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 333 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 334 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 335 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 336 4.14208747 1.90828039 23.56867508 2.16111625 1.51018473
## 337 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 338 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 339 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 340 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 341 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 342 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 343 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 344 0.03233182 38.94386945 3.91010223 41.87578895 56.88922675
## 345 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 346 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 347 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 348 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 349 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 350 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 351 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 352 -2.66365394 35.41095375 -1.41534674 16.54716734 -19.24149044
## 353 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 354 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 355 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 356 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 357 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 358 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 359 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 360 7.07339503 8.63522242 17.91825134 5.23925633 2.73350534
## 361 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 362 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 363 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 364 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 365 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 366 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 367 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 368 1.49612337 -18.05035374 -5.41767474 9.41137311 6.34668836
## 369 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 370 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 371 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 372 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 373 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 374 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 375 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 376 0.80770925 -5.98004631 36.35198139 -1.92069684 6.16133980
## 377 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 378 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 379 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 380 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 381 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 382 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 383 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 384 -1.77253976 -1.73001710 3.01973439 -4.52765904 -0.89207585
## 385 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 386 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 387 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 388 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 389 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 390 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 391 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 392 32.45982294 -0.79123505 9.34596271 -4.24333244 -7.21946962
## 393 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 394 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 395 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 396 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 397 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 398 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 399 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 400 -14.05746643 -0.01664866 1.44881592 -2.60891325 -2.24222335
## 401 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 402 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 403 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 404 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 405 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 406 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 407 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 408 1.48440735 6.63812654 2.57931140 1.24531482 -2.01832462
## 409 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 410 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 411 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 412 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 413 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 414 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 415 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 416 1.35286495 1.00930599 12.23163736 7.06828054 0.96533851
## 417 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 418 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 419 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 420 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 421 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 422 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 423 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 424 -8.47842455 -1.60783443 2.02883023 5.16652990 -3.58397906
## 425 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 426 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 427 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 428 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 429 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 430 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 431 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 432 0.13990464 25.24894847 2.24546662 20.85565482 -13.36118117
## 433 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 434 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 435 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 436 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 437 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 438 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 439 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 440 0.27453011 11.88789833 -27.25819196 3.76341903 5.69265885
## 441 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 442 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 443 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 444 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 445 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 446 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 447 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 448 3.27186396 -2.62451516 0.23234176 -2.13730447 -1.16884875
## 449 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 450 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 451 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 452 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 453 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 454 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 455 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 456 -5.39735448 -2.63646868 -2.85973459 5.83620990 -2.64744042
## 457 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 458 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 459 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 460 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 461 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 462 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 463 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 464 0.01186876 9.97113123 4.50625130 16.24323427 5.25561886
## 465 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 466 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 467 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 468 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 469 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 470 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 471 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 472 -2.26688157 3.53385595 -4.26621394 4.98838015 -2.48880390
## 473 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 474 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 475 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 476 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 477 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 478 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 479 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 480 -1.10996237 -0.72885301 -1.29631004 -18.40119360 -10.33410770
## 481 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 482 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 483 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 484 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 485 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 486 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 487 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 488 0.80776447 -9.04518884 0.33062743 -3.39343533 5.98197317
## 489 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 490 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 491 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 492 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 493 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 494 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 495 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 496 1.43529929 9.96845952 1.68438937 2.39669878 -5.63731436
## 497 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 498 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 499 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 500 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 501 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 502 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 503 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 504 3.92646235 3.76281587 16.40853883 -0.86569713 -3.40457371
## 505 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 506 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 507 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 508 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 509 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 510 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 511 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 512 0.09051582 -2.56870866 1.10325136 3.44446551 -5.58721473
## 513 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 514 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 515 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 516 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 517 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 518 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 519 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 520 2.02395562 -38.60009467 2.82646632 8.10361630 -33.08248998
## 521 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 522 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 523 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 524 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 525 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 526 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 527 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 528 -2.45795280 -10.08524073 10.03840101 -7.78697638 -1.28261243
## 529 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 530 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 531 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 532 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 533 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 534 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 535 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 536 2.55947033 -11.46827596 -1.66366914 -24.97829493 38.04549264
## 537 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 538 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 539 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 540 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 541 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 542 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 543 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 544 -3.83629301 -5.02653803 1.02926709 3.54404056 5.54469307
## 545 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 546 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 547 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 548 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 549 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 550 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 551 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 552 -45.63873424 -5.14407977 -1.94336302 -0.53192646 2.74555942
## 553 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 554 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 555 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 556 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 557 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 558 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 559 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 560 3.12958767 32.80556815 -1.80229804 20.81216325 0.13646566
## 561 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 562 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 563 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 564 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 565 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 566 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 567 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 568 -3.61363559 0.87843445 -34.89578123 -3.09912445 5.50615798
## 569 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 570 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 571 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 572 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 573 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 574 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 575 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 576 13.87465671 -1.91347044 -7.04383890 -2.80909302 -3.85415875
## 577 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 578 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 579 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 580 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 581 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 582 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 583 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 584 5.57915397 4.13888452 3.42331133 -7.72666373 -6.23068902
## 585 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 586 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 587 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 588 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 589 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 590 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 591 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 592 1.01864364 -2.62324446 2.15489857 2.42126074 -4.36550638
## 593 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 594 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 595 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 596 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 597 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 598 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 599 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 600 -0.77268272 2.33789138 1.85904788 0.44154668 2.32357395
## 601 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 602 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 603 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 604 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 605 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 606 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 607 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 608 14.91959688 -1.21362161 16.73773809 -2.76622772 -6.95817296
## 609 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 610 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 611 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 612 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 613 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 614 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 615 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 616 -27.36597600 -0.31592610 -4.51966345 2.20539186 -4.89379969
## 617 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 618 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 619 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 620 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 621 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 622 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 623 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 624 2.15335999 -1.44261545 2.14438316 -9.09699722 -1.46600839
## 625 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 626 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 627 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 628 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 629 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 630 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 631 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 632 7.93139865 -18.83901784 -15.49023663 -6.85856252 -0.39913803
## 633 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 634 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 635 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 636 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 637 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 638 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 639 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 640 3.42006807 -2.88734373 -30.16582320 -3.42813781 1.10385701
## 641 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 642 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 643 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 644 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 645 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 646 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 647 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 648 -2.65860719 8.05903595 6.07926911 -3.96193890 -0.49446361
## 649 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 650 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 651 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 652 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 653 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 654 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 655 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 656 -3.52709659 -0.62421210 0.09610110 -3.38107906 0.56337651
## 657 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 658 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 659 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 660 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 661 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 662 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 663 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 664 1.24511977 -47.72605380 -0.91552501 0.86484292 -22.85953240
## 665 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 666 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 667 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 668 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 669 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 670 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 671 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 672 -2.10937988 -5.47747313 -3.89149441 -1.51892957 -1.86172271
## 673 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 674 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 675 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 676 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 677 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 678 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 679 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 680 10.01932672 1.41348355 -3.84794571 1.25113195 0.47770641
## 681 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 682 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 683 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 684 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 685 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 686 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 687 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 688 3.57195220 -36.90352777 0.69622391 26.76179418 35.62747686
## 689 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 690 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 691 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 692 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 693 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 694 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 695 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 696 -15.64289252 -4.30815204 1.07342620 -4.67152249 1.06584543
## 697 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 698 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 699 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 700 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 701 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 702 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 703 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 704 0.92354404 48.57033878 2.09924977 -42.38529581 -7.75270602
## 705 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 706 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 707 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 708 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 709 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 710 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 711 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 712 -2.49599499 -0.61200774 0.16476322 0.33824413 0.84337419
## 713 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 714 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 715 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 716 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 717 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 718 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 719 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 720 -2.81127045 0.86587822 -17.12146603 2.08406023 -4.75531462
## 721 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 722 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 723 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 724 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 725 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 726 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 727 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 728 2.72182979 -7.96600290 -36.76434806 -1.13547123 -4.86238538
## 729 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 730 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 731 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 732 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 733 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 734 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 735 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 736 -2.13013151 5.51098217 0.70889749 -1.42411214 -11.69370521
## 737 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 738 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 739 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 740 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 741 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 742 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 743 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 744 10.56020140 -4.09819153 8.85341743 -0.97987374 3.44079529
## 745 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 746 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 747 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 748 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 749 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 750 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 751 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 752 -6.44882379 -5.03341276 -32.21254416 1.74338505 -9.35976217
## 753 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 754 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 755 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 756 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 757 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 758 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 759 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 760 -0.18432946 -6.41806538 0.56959299 11.44159590 -4.58203496
## 761 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 762 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 763 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 764 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 765 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 766 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 767 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 768 2.59726696 -12.11736085 -3.22617663 5.08092314 -4.42187568
## 769 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 770 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 771 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 772 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 773 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 774 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 775 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 776 -10.18959740 -5.08004248 9.19242035 -0.55616263 2.20030276
## 777 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 778 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 779 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 780 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 781 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 782 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 783 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 784 7.15260222 8.83431328 9.04932947 35.24682492 -4.87999478
## 785 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 786 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 787 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 788 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 789 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 790 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 791 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 792 -0.67867407 0.05293847 -3.55334019 -5.45415954 0.19170273
## 793 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 794 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 795 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 796 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 797 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 798 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 799 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 800 1.42344025 5.83758504 1.45232646 -18.41619177 -6.23367857
## 801 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 802 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 803 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 804 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 805 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 806 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 807 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 808 3.34740113 -7.00926825 3.42162321 0.53900146 -4.68502675
## 809 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 810 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 811 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 812 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 813 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 814 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 815 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 816 -0.23071397 9.38293499 15.39857510 -11.08313361 -1.62665572
## 817 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 818 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 819 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 820 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 821 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 822 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 823 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 824 0.78601805 2.89726175 -7.13212966 2.18724677 -0.92087580
## 825 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 826 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 827 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 828 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 829 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 830 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 831 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 832 4.92351424 10.58467763 0.02532443 15.16252985 -47.60315513
## 833 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 834 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 835 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 836 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 837 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 838 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 839 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 840 -9.01567854 0.50329137 10.51682650 -1.68936505 -1.57892906
## 841 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 842 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 843 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 844 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 845 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 846 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 847 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 848 0.20448342 -4.74332956 -11.25986096 31.66156455 -3.43942429
## 849 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 850 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 851 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 852 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 853 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 854 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 855 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 856 2.55275276 29.15445978 7.79297106 -4.75591554 23.12489805
## 857 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 858 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 859 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 860 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 861 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 862 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 863 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 864 0.79348075 -24.18487539 4.32149682 -10.45975368 36.77575454
## 865 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 866 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 867 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 868 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 869 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 870 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 871 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 872 -1.55454903 -1.44089719 0.58384241 1.85107366 -0.65169924
## 873 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 874 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 875 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 876 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 877 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 878 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 879 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 880 1.00546986 -3.93884741 3.61708621 -6.69831124 -5.03475688
## 881 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 882 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 883 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 884 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 885 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 886 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 887 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 888 -16.26924553 -1.36306331 -3.54936957 -0.28471201 2.03077589
## 889 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 890 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 891 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 892 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 893 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 894 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 895 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 896 4.02188919 -1.98664866 5.54359442 3.33664125 4.20266477
## 897 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 898 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 899 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 900 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 901 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 902 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 903 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 904 -0.10757240 1.56609426 0.80614915 -2.34215678 4.63026042
## 905 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 906 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 907 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 908 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 909 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 910 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 911 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 912 -3.19309923 -19.10708281 23.91222145 5.53117681 -8.32641135
## 913 -0.43331585 -2.44904931 0.15393533 -3.48781816 -1.47197232
## 914 -0.43331585 -2.44904931 0.15393533 -3.48781816 -1.47197232
## 915 -0.43331585 -2.44904931 0.15393533 -3.48781816 -1.47197232
## 916 -0.43331585 -2.44904931 0.15393533 -3.48781816 -1.47197232
## 917 -0.43331585 -2.44904931 0.15393533 -3.48781816 -1.47197232
## 918 10.00496585 4.20572783 -26.07999259 -6.40286863 -0.63582141
## 919 10.00496585 4.20572783 -26.07999259 -6.40286863 -0.63582141
## 920 10.00496585 4.20572783 -26.07999259 -6.40286863 -0.63582141
## 921 10.00496585 4.20572783 -26.07999259 -6.40286863 -0.63582141
## 922 10.00496585 4.20572783 -26.07999259 -6.40286863 -0.63582141
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -10.29712511 2.81047323 -30.03579587 -0.75964726 8.34217066
## 939 -10.29712511 2.81047323 -30.03579587 -0.75964726 8.34217066
## 940 -10.29712511 2.81047323 -30.03579587 -0.75964726 8.34217066
## 941 -10.29712511 2.81047323 -30.03579587 -0.75964726 8.34217066
## 942 -10.29712511 2.81047323 -30.03579587 -0.75964726 8.34217066
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -3.60810281 -10.41694515 2.08533579 -1.71533803 6.67802524
## 954 -3.60810281 -10.41694515 2.08533579 -1.71533803 6.67802524
## 955 -3.60810281 -10.41694515 2.08533579 -1.71533803 6.67802524
## 956 -3.60810281 -10.41694515 2.08533579 -1.71533803 6.67802524
## 957 -3.60810281 -10.41694515 2.08533579 -1.71533803 6.67802524
## 958 9.53921163 1.91589997 -7.58976766 3.79063651 3.32764168
## 959 9.53921163 1.91589997 -7.58976766 3.79063651 3.32764168
## 960 9.53921163 1.91589997 -7.58976766 3.79063651 3.32764168
## 961 9.53921163 1.91589997 -7.58976766 3.79063651 3.32764168
## 962 9.53921163 1.91589997 -7.58976766 3.79063651 3.32764168
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 -2.72532224 30.02999185 6.85906072 -13.25430215 -18.07569017
## 974 -2.72532224 30.02999185 6.85906072 -13.25430215 -18.07569017
## 975 -2.72532224 30.02999185 6.85906072 -13.25430215 -18.07569017
## 976 -2.72532224 30.02999185 6.85906072 -13.25430215 -18.07569017
## 977 -2.72532224 30.02999185 6.85906072 -13.25430215 -18.07569017
## 978 0.56440920 -20.02373070 6.77240965 11.87567228 8.07665565
## 979 0.56440920 -20.02373070 6.77240965 11.87567228 8.07665565
## 980 0.56440920 -20.02373070 6.77240965 11.87567228 8.07665565
## 981 0.56440920 -20.02373070 6.77240965 11.87567228 8.07665565
## 982 0.56440920 -20.02373070 6.77240965 11.87567228 8.07665565
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -0.97748863 -2.98746385 -0.96345816 -1.47411518 -15.43779336
## 994 -0.97748863 -2.98746385 -0.96345816 -1.47411518 -15.43779336
## 995 -0.97748863 -2.98746385 -0.96345816 -1.47411518 -15.43779336
## 996 -0.97748863 -2.98746385 -0.96345816 -1.47411518 -15.43779336
## 997 -0.97748863 -2.98746385 -0.96345816 -1.47411518 -15.43779336
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 1.29044077 -22.12063436 0.75216488 9.83731035 20.71662545
## 1009 1.29044077 -22.12063436 0.75216488 9.83731035 20.71662545
## 1010 1.29044077 -22.12063436 0.75216488 9.83731035 20.71662545
## 1011 1.29044077 -22.12063436 0.75216488 9.83731035 20.71662545
## 1012 1.29044077 -22.12063436 0.75216488 9.83731035 20.71662545
## 1013 -0.20645803 1.77765129 2.07201518 1.97661712 -10.44377734
## 1014 -0.20645803 1.77765129 2.07201518 1.97661712 -10.44377734
## 1015 -0.20645803 1.77765129 2.07201518 1.97661712 -10.44377734
## 1016 -0.20645803 1.77765129 2.07201518 1.97661712 -10.44377734
## 1017 -0.20645803 1.77765129 2.07201518 1.97661712 -10.44377734
## 1018 -1.60477401 21.71412723 4.75327333 -7.18258096 0.25320106
## 1019 -1.60477401 21.71412723 4.75327333 -7.18258096 0.25320106
## 1020 -1.60477401 21.71412723 4.75327333 -7.18258096 0.25320106
## 1021 -1.60477401 21.71412723 4.75327333 -7.18258096 0.25320106
## 1022 -1.60477401 21.71412723 4.75327333 -7.18258096 0.25320106
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 1.44586414 7.54317811 23.45427702 -4.60309199 5.84114476
## 1034 1.44586414 7.54317811 23.45427702 -4.60309199 5.84114476
## 1035 1.44586414 7.54317811 23.45427702 -4.60309199 5.84114476
## 1036 1.44586414 7.54317811 23.45427702 -4.60309199 5.84114476
## 1037 1.44586414 7.54317811 23.45427702 -4.60309199 5.84114476
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 1.37385359 -23.33457740 2.29167555 -3.47963798 -1.52670697
## 1069 1.37385359 -23.33457740 2.29167555 -3.47963798 -1.52670697
## 1070 1.37385359 -23.33457740 2.29167555 -3.47963798 -1.52670697
## 1071 1.37385359 -23.33457740 2.29167555 -3.47963798 -1.52670697
## 1072 1.37385359 -23.33457740 2.29167555 -3.47963798 -1.52670697
## 1073 -1.87903251 5.44005328 8.99051227 -16.89763349 -15.45248093
## 1074 -1.87903251 5.44005328 8.99051227 -16.89763349 -15.45248093
## 1075 -1.87903251 5.44005328 8.99051227 -16.89763349 -15.45248093
## 1076 -1.87903251 5.44005328 8.99051227 -16.89763349 -15.45248093
## 1077 -1.87903251 5.44005328 8.99051227 -16.89763349 -15.45248093
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 1.29963664 19.72883848 2.81804100 -17.89515040 3.19446255
## 1084 1.29963664 19.72883848 2.81804100 -17.89515040 3.19446255
## 1085 1.29963664 19.72883848 2.81804100 -17.89515040 3.19446255
## 1086 1.29963664 19.72883848 2.81804100 -17.89515040 3.19446255
## 1087 1.29963664 19.72883848 2.81804100 -17.89515040 3.19446255
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -1.96538244 2.43699141 -16.06985678 10.68414843 6.53797431
## 1094 -1.96538244 2.43699141 -16.06985678 10.68414843 6.53797431
## 1095 -1.96538244 2.43699141 -16.06985678 10.68414843 6.53797431
## 1096 -1.96538244 2.43699141 -16.06985678 10.68414843 6.53797431
## 1097 -1.96538244 2.43699141 -16.06985678 10.68414843 6.53797431
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 -2.64572988 0.45025874 -25.17383261 5.17891974 7.79761677
## 1104 -2.64572988 0.45025874 -25.17383261 5.17891974 7.79761677
## 1105 -2.64572988 0.45025874 -25.17383261 5.17891974 7.79761677
## 1106 -2.64572988 0.45025874 -25.17383261 5.17891974 7.79761677
## 1107 -2.64572988 0.45025874 -25.17383261 5.17891974 7.79761677
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 -2.91048177 -21.41139570 -9.12110888 18.00328283 16.09102087
## 1114 -2.91048177 -21.41139570 -9.12110888 18.00328283 16.09102087
## 1115 -2.91048177 -21.41139570 -9.12110888 18.00328283 16.09102087
## 1116 -2.91048177 -21.41139570 -9.12110888 18.00328283 16.09102087
## 1117 -2.91048177 -21.41139570 -9.12110888 18.00328283 16.09102087
## 1118 -4.47549995 3.39333626 12.18702356 6.43165087 12.58221859
## 1119 -4.47549995 3.39333626 12.18702356 6.43165087 12.58221859
## 1120 -4.47549995 3.39333626 12.18702356 6.43165087 12.58221859
## 1121 -4.47549995 3.39333626 12.18702356 6.43165087 12.58221859
## 1122 -4.47549995 3.39333626 12.18702356 6.43165087 12.58221859
## 1123 3.98827184 2.36464562 -6.11776228 2.97397197 3.54106056
## 1124 3.98827184 2.36464562 -6.11776228 2.97397197 3.54106056
## 1125 3.98827184 2.36464562 -6.11776228 2.97397197 3.54106056
## 1126 3.98827184 2.36464562 -6.11776228 2.97397197 3.54106056
## 1127 3.98827184 2.36464562 -6.11776228 2.97397197 3.54106056
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 0.05992632 -5.12045965 -12.71848834 -7.56985173 12.32470334
## 1134 0.05992632 -5.12045965 -12.71848834 -7.56985173 12.32470334
## 1135 0.05992632 -5.12045965 -12.71848834 -7.56985173 12.32470334
## 1136 0.05992632 -5.12045965 -12.71848834 -7.56985173 12.32470334
## 1137 0.05992632 -5.12045965 -12.71848834 -7.56985173 12.32470334
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 -1.92449241 -13.49257205 3.49120023 -8.16998872 -17.50702312
## 1144 -1.92449241 -13.49257205 3.49120023 -8.16998872 -17.50702312
## 1145 -1.92449241 -13.49257205 3.49120023 -8.16998872 -17.50702312
## 1146 -1.92449241 -13.49257205 3.49120023 -8.16998872 -17.50702312
## 1147 -1.92449241 -13.49257205 3.49120023 -8.16998872 -17.50702312
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 -1.33001072 1.69629697 1.21994301 -1.71957603 -2.82819348
## 1154 -1.33001072 1.69629697 1.21994301 -1.71957603 -2.82819348
## 1155 -1.33001072 1.69629697 1.21994301 -1.71957603 -2.82819348
## 1156 -1.33001072 1.69629697 1.21994301 -1.71957603 -2.82819348
## 1157 -1.33001072 1.69629697 1.21994301 -1.71957603 -2.82819348
## 1158 -3.03048278 -2.72101297 3.46321581 -7.02792551 8.68531423
## 1159 -3.03048278 -2.72101297 3.46321581 -7.02792551 8.68531423
## 1160 -3.03048278 -2.72101297 3.46321581 -7.02792551 8.68531423
## 1161 -3.03048278 -2.72101297 3.46321581 -7.02792551 8.68531423
## 1162 -3.03048278 -2.72101297 3.46321581 -7.02792551 8.68531423
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 4.63001553 -2.36611473 2.45346665 7.04665717 5.31951685
## 1189 4.63001553 -2.36611473 2.45346665 7.04665717 5.31951685
## 1190 4.63001553 -2.36611473 2.45346665 7.04665717 5.31951685
## 1191 4.63001553 -2.36611473 2.45346665 7.04665717 5.31951685
## 1192 4.63001553 -2.36611473 2.45346665 7.04665717 5.31951685
## 1193 -1.68728187 -10.11962850 3.52789838 20.51969081 12.62011322
## 1194 -1.68728187 -10.11962850 3.52789838 20.51969081 12.62011322
## 1195 -1.68728187 -10.11962850 3.52789838 20.51969081 12.62011322
## 1196 -1.68728187 -10.11962850 3.52789838 20.51969081 12.62011322
## 1197 -1.68728187 -10.11962850 3.52789838 20.51969081 12.62011322
## 1198 4.92478391 6.32811425 -2.69247618 8.60871439 -2.78180579
## 1199 4.92478391 6.32811425 -2.69247618 8.60871439 -2.78180579
## 1200 4.92478391 6.32811425 -2.69247618 8.60871439 -2.78180579
## 1201 4.92478391 6.32811425 -2.69247618 8.60871439 -2.78180579
## 1202 4.92478391 6.32811425 -2.69247618 8.60871439 -2.78180579
## 1203 -3.81925138 8.69665722 -4.70587792 4.96741875 16.09135851
## 1204 -3.81925138 8.69665722 -4.70587792 4.96741875 16.09135851
## 1205 -3.81925138 8.69665722 -4.70587792 4.96741875 16.09135851
## 1206 -3.81925138 8.69665722 -4.70587792 4.96741875 16.09135851
## 1207 -3.81925138 8.69665722 -4.70587792 4.96741875 16.09135851
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -3.44159560 -2.47089206 -1.96553648 -10.09066333 19.21771354
## 1214 -3.44159560 -2.47089206 -1.96553648 -10.09066333 19.21771354
## 1215 -3.44159560 -2.47089206 -1.96553648 -10.09066333 19.21771354
## 1216 -3.44159560 -2.47089206 -1.96553648 -10.09066333 19.21771354
## 1217 -3.44159560 -2.47089206 -1.96553648 -10.09066333 19.21771354
## 1218 8.25919857 6.68118927 7.75090289 -7.89144626 10.18589479
## 1219 8.25919857 6.68118927 7.75090289 -7.89144626 10.18589479
## 1220 8.25919857 6.68118927 7.75090289 -7.89144626 10.18589479
## 1221 8.25919857 6.68118927 7.75090289 -7.89144626 10.18589479
## 1222 8.25919857 6.68118927 7.75090289 -7.89144626 10.18589479
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 2.23847662 -21.23458355 1.06891416 21.53202529 -8.76302497
## 1239 2.23847662 -21.23458355 1.06891416 21.53202529 -8.76302497
## 1240 2.23847662 -21.23458355 1.06891416 21.53202529 -8.76302497
## 1241 2.23847662 -21.23458355 1.06891416 21.53202529 -8.76302497
## 1242 2.23847662 -21.23458355 1.06891416 21.53202529 -8.76302497
## 1243 1.18629183 3.11794893 3.89684986 -11.18117892 -16.70754983
## 1244 1.18629183 3.11794893 3.89684986 -11.18117892 -16.70754983
## 1245 1.18629183 3.11794893 3.89684986 -11.18117892 -16.70754983
## 1246 1.18629183 3.11794893 3.89684986 -11.18117892 -16.70754983
## 1247 1.18629183 3.11794893 3.89684986 -11.18117892 -16.70754983
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 2.76761065 1.09840473 5.82178351 0.44385256 12.38696406
## 1264 2.76761065 1.09840473 5.82178351 0.44385256 12.38696406
## 1265 2.76761065 1.09840473 5.82178351 0.44385256 12.38696406
## 1266 2.76761065 1.09840473 5.82178351 0.44385256 12.38696406
## 1267 2.76761065 1.09840473 5.82178351 0.44385256 12.38696406
## 1268 -3.41642488 5.61872749 1.98069094 -3.42195860 2.39230100
## 1269 -3.41642488 5.61872749 1.98069094 -3.42195860 2.39230100
## 1270 -3.41642488 5.61872749 1.98069094 -3.42195860 2.39230100
## 1271 -3.41642488 5.61872749 1.98069094 -3.42195860 2.39230100
## 1272 -3.41642488 5.61872749 1.98069094 -3.42195860 2.39230100
## 1273 -1.51298660 15.99344781 1.11496790 -2.08569887 -12.95641754
## 1274 -1.51298660 15.99344781 1.11496790 -2.08569887 -12.95641754
## 1275 -1.51298660 15.99344781 1.11496790 -2.08569887 -12.95641754
## 1276 -1.51298660 15.99344781 1.11496790 -2.08569887 -12.95641754
## 1277 -1.51298660 15.99344781 1.11496790 -2.08569887 -12.95641754
## 1278 30.30606940 3.15236510 -17.83465175 -0.16829876 -0.27146306
## 1279 30.30606940 3.15236510 -17.83465175 -0.16829876 -0.27146306
## 1280 30.30606940 3.15236510 -17.83465175 -0.16829876 -0.27146306
## 1281 30.30606940 3.15236510 -17.83465175 -0.16829876 -0.27146306
## 1282 30.30606940 3.15236510 -17.83465175 -0.16829876 -0.27146306
## 1283 -0.51230383 6.77293683 -1.42793577 -15.15758415 -37.84802335
## 1284 -0.51230383 6.77293683 -1.42793577 -15.15758415 -37.84802335
## 1285 -0.51230383 6.77293683 -1.42793577 -15.15758415 -37.84802335
## 1286 -0.51230383 6.77293683 -1.42793577 -15.15758415 -37.84802335
## 1287 -0.51230383 6.77293683 -1.42793577 -15.15758415 -37.84802335
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 5.32675202 2.14576715 -4.29770643 0.60595746 3.56883638
## 1299 5.32675202 2.14576715 -4.29770643 0.60595746 3.56883638
## 1300 5.32675202 2.14576715 -4.29770643 0.60595746 3.56883638
## 1301 5.32675202 2.14576715 -4.29770643 0.60595746 3.56883638
## 1302 5.32675202 2.14576715 -4.29770643 0.60595746 3.56883638
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 -0.90224874 5.18593450 3.76287976 0.30577310 16.88682129
## 1314 -0.90224874 5.18593450 3.76287976 0.30577310 16.88682129
## 1315 -0.90224874 5.18593450 3.76287976 0.30577310 16.88682129
## 1316 -0.90224874 5.18593450 3.76287976 0.30577310 16.88682129
## 1317 -0.90224874 5.18593450 3.76287976 0.30577310 16.88682129
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 23.04928069 2.67883940 -5.88519055 0.25532116 1.05073176
## 1364 23.04928069 2.67883940 -5.88519055 0.25532116 1.05073176
## 1365 23.04928069 2.67883940 -5.88519055 0.25532116 1.05073176
## 1366 23.04928069 2.67883940 -5.88519055 0.25532116 1.05073176
## 1367 23.04928069 2.67883940 -5.88519055 0.25532116 1.05073176
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 16.54052442 5.32823308 -3.77161886 2.39449443 0.72058421
## 1379 16.54052442 5.32823308 -3.77161886 2.39449443 0.72058421
## 1380 16.54052442 5.32823308 -3.77161886 2.39449443 0.72058421
## 1381 16.54052442 5.32823308 -3.77161886 2.39449443 0.72058421
## 1382 16.54052442 5.32823308 -3.77161886 2.39449443 0.72058421
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 4.99714227 -6.26583086 6.11307853 2.27797487 1.12306074
## 1389 4.99714227 -6.26583086 6.11307853 2.27797487 1.12306074
## 1390 4.99714227 -6.26583086 6.11307853 2.27797487 1.12306074
## 1391 4.99714227 -6.26583086 6.11307853 2.27797487 1.12306074
## 1392 4.99714227 -6.26583086 6.11307853 2.27797487 1.12306074
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 -5.32049001 -7.09062365 -14.24254524 2.11268669 1.97442506
## 1414 -5.32049001 -7.09062365 -14.24254524 2.11268669 1.97442506
## 1415 -5.32049001 -7.09062365 -14.24254524 2.11268669 1.97442506
## 1416 -5.32049001 -7.09062365 -14.24254524 2.11268669 1.97442506
## 1417 -5.32049001 -7.09062365 -14.24254524 2.11268669 1.97442506
## 1418 6.07330770 1.32724533 -1.86729533 2.27962620 -1.61434033
## 1419 6.07330770 1.32724533 -1.86729533 2.27962620 -1.61434033
## 1420 6.07330770 1.32724533 -1.86729533 2.27962620 -1.61434033
## 1421 6.07330770 1.32724533 -1.86729533 2.27962620 -1.61434033
## 1422 6.07330770 1.32724533 -1.86729533 2.27962620 -1.61434033
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -3.81396616 -4.15501803 83.19835809 2.39764223 -2.31585353
## 1429 -3.81396616 -4.15501803 83.19835809 2.39764223 -2.31585353
## 1430 -3.81396616 -4.15501803 83.19835809 2.39764223 -2.31585353
## 1431 -3.81396616 -4.15501803 83.19835809 2.39764223 -2.31585353
## 1432 -3.81396616 -4.15501803 83.19835809 2.39764223 -2.31585353
## 1433 4.39868151 6.66045403 -5.10436113 -5.48236747 -3.87467690
## 1434 4.39868151 6.66045403 -5.10436113 -5.48236747 -3.87467690
## 1435 4.39868151 6.66045403 -5.10436113 -5.48236747 -3.87467690
## 1436 4.39868151 6.66045403 -5.10436113 -5.48236747 -3.87467690
## 1437 4.39868151 6.66045403 -5.10436113 -5.48236747 -3.87467690
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 0.86480457 -25.84604145 4.34221906 75.54207488 34.15459099
## 1444 0.86480457 -25.84604145 4.34221906 75.54207488 34.15459099
## 1445 0.86480457 -25.84604145 4.34221906 75.54207488 34.15459099
## 1446 0.86480457 -25.84604145 4.34221906 75.54207488 34.15459099
## 1447 0.86480457 -25.84604145 4.34221906 75.54207488 34.15459099
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -12.92707525 -0.90671867 -10.35274283 -0.27216308 -3.59410579
## 1464 -12.92707525 -0.90671867 -10.35274283 -0.27216308 -3.59410579
## 1465 -12.92707525 -0.90671867 -10.35274283 -0.27216308 -3.59410579
## 1466 -12.92707525 -0.90671867 -10.35274283 -0.27216308 -3.59410579
## 1467 -12.92707525 -0.90671867 -10.35274283 -0.27216308 -3.59410579
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 0.54900748 9.66142948 -29.87334647 9.89539578 -4.26951475
## 1489 0.54900748 9.66142948 -29.87334647 9.89539578 -4.26951475
## 1490 0.54900748 9.66142948 -29.87334647 9.89539578 -4.26951475
## 1491 0.54900748 9.66142948 -29.87334647 9.89539578 -4.26951475
## 1492 0.54900748 9.66142948 -29.87334647 9.89539578 -4.26951475
## 1493 -0.71128245 -1.63163214 10.21163592 21.14441912 11.86910791
## 1494 -0.71128245 -1.63163214 10.21163592 21.14441912 11.86910791
## 1495 -0.71128245 -1.63163214 10.21163592 21.14441912 11.86910791
## 1496 -0.71128245 -1.63163214 10.21163592 21.14441912 11.86910791
## 1497 -0.71128245 -1.63163214 10.21163592 21.14441912 11.86910791
## 1498 3.05526289 -6.33107430 20.84549179 3.09258516 0.83721997
## 1499 3.05526289 -6.33107430 20.84549179 3.09258516 0.83721997
## 1500 3.05526289 -6.33107430 20.84549179 3.09258516 0.83721997
## 1501 3.05526289 -6.33107430 20.84549179 3.09258516 0.83721997
## 1502 3.05526289 -6.33107430 20.84549179 3.09258516 0.83721997
## 1503 -0.38841232 10.91895077 11.60852187 -0.58531172 3.25872492
## 1504 -0.38841232 10.91895077 11.60852187 -0.58531172 3.25872492
## 1505 -0.38841232 10.91895077 11.60852187 -0.58531172 3.25872492
## 1506 -0.38841232 10.91895077 11.60852187 -0.58531172 3.25872492
## 1507 -0.38841232 10.91895077 11.60852187 -0.58531172 3.25872492
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 39.34496589 0.41408433 -3.17930476 -0.49304929 -1.52333137
## 1529 39.34496589 0.41408433 -3.17930476 -0.49304929 -1.52333137
## 1530 39.34496589 0.41408433 -3.17930476 -0.49304929 -1.52333137
## 1531 39.34496589 0.41408433 -3.17930476 -0.49304929 -1.52333137
## 1532 39.34496589 0.41408433 -3.17930476 -0.49304929 -1.52333137
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC96_score PC37_score PC108_score PC91_score PC76_score
## 1 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 2 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 3 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 4 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 5 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 6 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 7 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 8 3.11248548 1.71656931 2.131308826 -14.20574073 0.212185197
## 9 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 10 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 11 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 12 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 13 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 14 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 15 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 16 -5.64262609 -0.61615187 34.626338035 -10.85100132 2.049787372
## 17 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 18 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 19 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 20 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 21 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 22 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 23 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 24 -3.67409813 11.02578589 -1.547839883 2.96228841 1.530143604
## 25 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 26 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 27 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 28 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 29 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 30 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 31 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 32 5.91729409 -16.93544886 -3.545955044 7.88893203 -6.662016663
## 33 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 34 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 35 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 36 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 37 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 38 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 39 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 40 7.01722972 -5.98938032 -4.411746480 -4.33532071 11.188262526
## 41 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 42 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 43 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 44 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 45 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 46 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 47 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 48 -74.33986560 -0.64058280 -9.376640750 -13.66909426 -10.982782203
## 49 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 50 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 51 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 52 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 53 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 54 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 55 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 56 0.41259422 7.83483505 -0.227186521 0.57822068 -2.353747009
## 57 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 58 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 59 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 60 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 61 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 62 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 63 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 64 4.16874350 -3.22920141 -1.637997026 0.73069029 -5.458445166
## 65 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 66 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 67 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 68 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 69 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 70 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 71 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 72 -1.23650570 -24.96756589 -2.377111945 -1.15337441 -1.635154237
## 73 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 74 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 75 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 76 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 77 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 78 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 79 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 80 -0.48896726 -6.96907832 -1.616574265 -1.56333516 6.192191062
## 81 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 82 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 83 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 84 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 85 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 86 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 87 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 88 1.92035961 -5.63238247 -1.383006662 -5.22003683 2.706934140
## 89 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 90 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 91 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 92 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 93 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 94 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 95 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 96 -0.71068778 -57.05997225 0.502346217 -2.99980276 -0.347559663
## 97 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 98 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 99 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 100 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 101 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 102 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 103 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 104 -7.31033932 -2.14424260 2.193888753 11.36963799 -0.206043932
## 105 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 106 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 107 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 108 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 109 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 110 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 111 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 112 31.40623648 -2.77177942 -7.488049936 -21.51884052 -9.495973551
## 113 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 114 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 115 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 116 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 117 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 118 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 119 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 120 -0.63617646 0.30737016 -0.841883023 3.69389447 -0.599552285
## 121 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 122 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 123 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 124 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 125 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 126 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 127 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 128 -8.49351023 18.51559271 -1.068503531 0.92593320 1.325306199
## 129 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 130 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 131 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 132 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 133 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 134 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 135 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 136 9.73652097 0.04220093 -2.192241645 -3.73334638 -17.323212165
## 137 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 138 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 139 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 140 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 141 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 142 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 143 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 144 -1.09352837 -2.86204781 -0.469129583 2.49933505 -0.002494105
## 145 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 146 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 147 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 148 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 149 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 150 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 151 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 152 0.28947167 -8.36785392 2.987754289 5.13562173 2.806375783
## 153 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 154 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 155 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 156 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 157 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 158 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 159 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 160 -1.20218517 -1.81620096 -0.611842170 1.36451498 1.030385951
## 161 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 162 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 163 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 164 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 165 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 166 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 167 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 168 14.58514662 -3.71353348 0.238126654 11.28994990 -1.995380393
## 169 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 170 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 171 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 172 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 173 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 174 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 175 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 176 3.60638772 1.33319644 -10.825467617 -4.90760741 -1.082221578
## 177 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 178 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 179 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 180 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 181 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 182 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 183 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 184 -15.68838164 -11.21439623 -10.201096811 -4.37108620 -5.660904320
## 185 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 186 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 187 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 188 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 189 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 190 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 191 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 192 1.23984599 4.49642199 0.707908870 3.93732579 3.530990797
## 193 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 194 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 195 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 196 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 197 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 198 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 199 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 200 -3.89560038 -13.47406649 -4.938581964 -2.47007784 22.013970330
## 201 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 202 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 203 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 204 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 205 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 206 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 207 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 208 -0.47504990 20.24356750 -0.279265812 0.04402103 -3.067015599
## 209 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 210 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 211 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 212 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 213 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 214 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 215 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 216 1.01015325 -2.57857461 -0.295918449 0.03953667 -2.663389941
## 217 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 218 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 219 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 220 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 221 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 222 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 223 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 224 -0.82414458 4.43830164 -0.367407473 -1.12462040 -0.066521023
## 225 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 226 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 227 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 228 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 229 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 230 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 231 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 232 -8.45329992 0.18788915 65.335914258 -4.83433546 4.535835511
## 233 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 234 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 235 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 236 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 237 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 238 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 239 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 240 0.41142143 34.84594305 -0.613253357 -1.59553327 -0.221114535
## 241 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 242 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 243 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 244 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 245 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 246 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 247 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 248 8.82142765 -7.29161781 0.642100151 -1.71899453 -14.174635966
## 249 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 250 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 251 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 252 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 253 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 254 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 255 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 256 -6.91173565 -8.89341805 -6.353595226 12.43292978 37.967769053
## 257 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 258 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 259 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 260 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 261 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 262 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 263 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 264 -0.39106882 -8.72430498 1.686919690 -19.64149989 -1.570364614
## 265 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 266 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 267 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 268 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 269 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 270 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 271 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 272 -7.02049251 -2.18750932 -4.610237248 -3.19337659 -1.543422792
## 273 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 274 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 275 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 276 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 277 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 278 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 279 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 280 -0.95751551 32.18072192 -1.049031697 -6.36969335 2.980062877
## 281 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 282 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 283 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 284 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 285 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 286 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 287 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 288 0.77272587 48.36251309 0.987788298 -3.69337469 -0.868622123
## 289 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 290 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 291 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 292 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 293 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 294 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 295 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 296 3.67937597 3.09860161 0.410474591 1.73541074 27.262860131
## 297 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 298 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 299 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 300 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 301 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 302 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 303 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 304 2.24025293 2.88475430 11.226409708 5.54636943 2.134502115
## 305 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 306 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 307 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 308 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 309 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 310 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 311 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 312 -13.99856961 -3.72162589 10.583707731 -20.23953300 -3.853130107
## 313 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 314 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 315 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 316 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 317 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 318 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 319 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 320 -4.78781591 -34.73516239 2.429611945 1.48973153 10.421141517
## 321 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 322 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 323 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 324 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 325 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 326 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 327 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 328 0.59389338 43.86689820 -2.535047972 -5.36274585 -2.670770421
## 329 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 330 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 331 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 332 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 333 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 334 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 335 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 336 -3.35671793 -5.51584375 5.741161443 18.68417358 -27.502306476
## 337 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 338 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 339 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 340 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 341 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 342 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 343 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 344 -0.32667249 23.62378763 -1.760290112 3.37483992 -6.683493690
## 345 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 346 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 347 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 348 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 349 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 350 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 351 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 352 -5.41894876 -11.66294394 -0.925003156 -1.46299883 -2.618813242
## 353 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 354 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 355 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 356 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 357 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 358 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 359 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 360 9.19431036 0.52083477 -4.998984978 -15.76433051 49.956238025
## 361 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 362 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 363 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 364 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 365 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 366 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 367 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 368 1.65047498 4.27579941 -1.722735262 2.83814470 0.415509621
## 369 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 370 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 371 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 372 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 373 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 374 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 375 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 376 7.86221485 -9.36984068 1.879517164 8.37907491 -26.778906144
## 377 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 378 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 379 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 380 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 381 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 382 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 383 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 384 15.69149712 0.10993913 0.692800286 1.01507474 -17.025299553
## 385 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 386 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 387 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 388 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 389 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 390 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 391 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 392 -28.56274690 -1.78622468 -0.700044815 -18.63832099 -8.893191015
## 393 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 394 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 395 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 396 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 397 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 398 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 399 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 400 -1.57042118 -2.36152332 30.888786166 -3.47661867 2.742659705
## 401 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 402 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 403 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 404 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 405 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 406 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 407 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 408 -1.29805891 -19.32880083 -1.136957422 -1.63093900 3.743617949
## 409 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 410 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 411 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 412 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 413 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 414 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 415 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 416 -3.40665611 -12.98541115 0.537895703 7.21054125 -6.524574615
## 417 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 418 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 419 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 420 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 421 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 422 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 423 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 424 -1.04141519 2.09780630 0.096624430 -21.82071638 11.730833341
## 425 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 426 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 427 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 428 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 429 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 430 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 431 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 432 1.37115831 3.43273053 2.891430594 -0.96140545 -3.467168192
## 433 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 434 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 435 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 436 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 437 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 438 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 439 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 440 6.71846740 -7.29474698 1.324569485 7.27820526 -33.528964279
## 441 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 442 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 443 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 444 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 445 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 446 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 447 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 448 1.67238599 1.20438395 -0.660452157 0.13517667 -3.817959963
## 449 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 450 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 451 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 452 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 453 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 454 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 455 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 456 -7.29896773 6.60097392 -7.791273386 26.49677098 -7.909862609
## 457 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 458 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 459 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 460 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 461 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 462 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 463 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 464 3.11402010 -2.80666566 4.063308327 0.89429047 24.976050491
## 465 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 466 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 467 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 468 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 469 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 470 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 471 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 472 5.21765485 -4.09863013 1.319149664 -2.24328252 16.704324854
## 473 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 474 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 475 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 476 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 477 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 478 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 479 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 480 -1.94234338 0.39435931 1.105547309 2.33456125 -3.540505954
## 481 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 482 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 483 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 484 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 485 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 486 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 487 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 488 0.58292170 3.75308780 -0.189983791 -2.54566906 2.270321451
## 489 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 490 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 491 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 492 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 493 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 494 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 495 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 496 0.23147290 -4.20537005 -1.035098868 -1.76808573 0.189961041
## 497 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 498 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 499 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 500 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 501 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 502 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 503 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 504 -0.12275985 -4.88358007 -2.218578120 45.13641848 -14.806015275
## 505 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 506 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 507 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 508 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 509 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 510 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 511 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 512 1.26672781 7.64550103 1.338216835 4.35960209 4.558752807
## 513 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 514 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 515 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 516 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 517 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 518 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 519 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 520 3.31000578 18.54222830 0.793876170 -1.73062418 -6.972210069
## 521 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 522 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 523 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 524 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 525 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 526 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 527 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 528 -4.01667117 16.85178773 -4.511061885 -9.80063428 4.118355223
## 529 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 530 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 531 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 532 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 533 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 534 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 535 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 536 -2.02099233 0.55233069 -2.210585855 0.71060429 -2.307021284
## 537 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 538 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 539 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 540 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 541 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 542 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 543 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 544 0.79330772 -8.16509901 -6.623426884 -3.10105050 -15.723951952
## 545 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 546 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 547 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 548 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 549 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 550 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 551 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 552 -8.52730273 -2.61620332 32.846795013 9.90831618 4.120660274
## 553 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 554 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 555 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 556 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 557 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 558 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 559 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 560 0.08606777 -8.15611516 -1.709298119 2.78762433 0.609975726
## 561 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 562 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 563 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 564 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 565 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 566 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 567 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 568 19.09870142 -0.77731440 2.400644351 -3.14438141 -28.226202161
## 569 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 570 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 571 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 572 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 573 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 574 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 575 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 576 -4.57584263 -3.29463081 -62.534503805 -1.21263054 -4.185646342
## 577 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 578 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 579 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 580 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 581 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 582 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 583 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 584 -7.58081365 0.16500549 4.513614666 -13.56782288 -15.601792604
## 585 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 586 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 587 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 588 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 589 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 590 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 591 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 592 5.13550253 -0.24508941 0.706295436 -2.08862762 2.633321331
## 593 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 594 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 595 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 596 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 597 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 598 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 599 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 600 1.98979471 -5.40586129 -0.151487750 -0.81390325 0.915169396
## 601 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 602 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 603 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 604 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 605 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 606 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 607 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 608 -14.25764742 2.24000814 -7.731661211 45.62184455 -0.634480003
## 609 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 610 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 611 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 612 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 613 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 614 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 615 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 616 -3.87264857 -2.80216121 -3.843182101 -22.21188151 6.558039179
## 617 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 618 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 619 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 620 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 621 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 622 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 623 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 624 1.13546080 8.70826695 -3.965917221 -1.57919122 22.431481936
## 625 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 626 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 627 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 628 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 629 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 630 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 631 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 632 2.13323222 -14.74344061 1.939017954 -9.24602617 4.625686780
## 633 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 634 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 635 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 636 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 637 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 638 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 639 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 640 24.58054128 -1.76478372 -0.006847018 14.85555515 -13.997392447
## 641 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 642 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 643 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 644 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 645 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 646 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 647 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 648 1.84598010 3.38232580 1.754945626 1.48592160 -2.564983004
## 649 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 650 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 651 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 652 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 653 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 654 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 655 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 656 1.37645263 0.37858917 5.761690366 3.10625646 -27.476099814
## 657 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 658 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 659 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 660 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 661 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 662 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 663 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 664 1.29225166 -29.13120644 -0.612729800 -5.65194615 4.829643333
## 665 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 666 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 667 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 668 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 669 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 670 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 671 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 672 0.82007177 22.07151850 0.728088008 1.07575217 0.615915574
## 673 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 674 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 675 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 676 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 677 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 678 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 679 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 680 11.59038435 5.02762404 -3.906637543 14.77668393 7.856721325
## 681 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 682 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 683 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 684 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 685 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 686 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 687 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 688 -3.30658641 -25.26696156 -1.954499961 -4.66075325 -6.923091815
## 689 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 690 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 691 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 692 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 693 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 694 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 695 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 696 21.66453856 0.99165866 -2.121696388 -1.37604081 2.980470140
## 697 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 698 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 699 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 700 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 701 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 702 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 703 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 704 -1.64571107 21.12604341 0.656356624 -3.57856359 -0.762127734
## 705 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 706 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 707 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 708 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 709 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 710 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 711 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 712 -2.14922061 -0.58150633 -31.220495766 0.26380766 -2.874663814
## 713 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 714 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 715 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 716 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 717 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 718 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 719 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 720 7.54029578 0.62324824 10.414809091 16.95197379 -3.091811923
## 721 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 722 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 723 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 724 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 725 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 726 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 727 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 728 0.14760818 6.11338075 -1.459738857 14.72632127 15.458776208
## 729 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 730 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 731 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 732 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 733 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 734 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 735 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 736 1.84867040 3.45371709 2.470182595 0.14102342 0.874178659
## 737 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 738 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 739 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 740 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 741 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 742 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 743 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 744 6.31963667 0.89181000 -7.449731862 19.22731123 14.072820012
## 745 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 746 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 747 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 748 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 749 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 750 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 751 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 752 -23.26980226 -2.48056934 -1.271109455 26.03350429 34.630936175
## 753 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 754 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 755 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 756 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 757 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 758 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 759 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 760 0.27683093 -10.21890369 -0.743794436 -19.16908040 11.256877816
## 761 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 762 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 763 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 764 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 765 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 766 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 767 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 768 -11.71349852 -5.92548637 6.232123740 0.23714203 -10.670850723
## 769 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 770 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 771 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 772 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 773 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 774 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 775 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 776 54.38676206 -4.18574047 -1.916319189 -37.37057176 4.842555428
## 777 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 778 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 779 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 780 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 781 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 782 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 783 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 784 -1.42650586 5.99554234 0.624650219 -4.91709685 6.858390968
## 785 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 786 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 787 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 788 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 789 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 790 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 791 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 792 0.47303320 0.16169884 -0.697738790 -1.81037489 3.395473546
## 793 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 794 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 795 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 796 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 797 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 798 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 799 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 800 0.96589556 -14.73299314 0.234596133 -4.00056992 -1.106325841
## 801 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 802 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 803 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 804 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 805 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 806 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 807 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 808 18.05658340 1.54801014 7.888020623 33.46635871 10.485541319
## 809 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 810 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 811 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 812 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 813 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 814 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 815 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 816 -10.68720911 8.94578760 5.245805044 -4.39820972 -16.802056997
## 817 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 818 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 819 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 820 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 821 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 822 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 823 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 824 2.77204205 0.81999834 -19.722788956 -1.54791515 1.311764608
## 825 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 826 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 827 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 828 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 829 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 830 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 831 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 832 0.77039047 -13.92676313 1.041323026 0.41395107 -5.551172767
## 833 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 834 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 835 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 836 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 837 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 838 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 839 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 840 -20.50607396 3.94847556 -4.772605481 -35.98789052 -10.468982091
## 841 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 842 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 843 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 844 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 845 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 846 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 847 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 848 -1.22206315 5.39795021 2.535487580 -0.82960949 -2.934256261
## 849 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 850 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 851 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 852 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 853 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 854 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 855 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 856 2.32223436 -1.02396257 -0.245856226 1.73711897 8.871770392
## 857 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 858 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 859 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 860 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 861 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 862 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 863 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 864 1.28647468 39.50434061 -2.183775773 -5.18893693 -2.119673952
## 865 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 866 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 867 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 868 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 869 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 870 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 871 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 872 -1.23009684 1.42794280 -1.915627569 0.39418966 -1.067359594
## 873 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 874 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 875 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 876 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 877 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 878 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 879 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 880 -3.27725236 8.74968907 1.618855785 3.69047181 1.992976545
## 881 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 882 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 883 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 884 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 885 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 886 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 887 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 888 7.60632875 3.41149030 6.497916078 12.49857274 -3.699825038
## 889 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 890 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 891 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 892 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 893 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 894 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 895 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 896 -1.15110753 5.19432116 -1.252283365 6.99762383 30.838752978
## 897 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 898 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 899 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 900 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 901 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 902 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 903 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 904 -2.71427914 -8.70471481 0.210902552 -0.47643675 -1.901068062
## 905 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 906 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 907 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 908 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 909 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 910 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 911 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 912 -5.41075439 1.72002954 -4.946186681 -4.36363873 -19.098646636
## 913 0.65383512 -1.09746148 -1.050411986 -0.10685909 -2.923931395
## 914 0.65383512 -1.09746148 -1.050411986 -0.10685909 -2.923931395
## 915 0.65383512 -1.09746148 -1.050411986 -0.10685909 -2.923931395
## 916 0.65383512 -1.09746148 -1.050411986 -0.10685909 -2.923931395
## 917 0.65383512 -1.09746148 -1.050411986 -0.10685909 -2.923931395
## 918 -6.37082806 1.82254948 -21.603351926 15.52605689 10.279026975
## 919 -6.37082806 1.82254948 -21.603351926 15.52605689 10.279026975
## 920 -6.37082806 1.82254948 -21.603351926 15.52605689 10.279026975
## 921 -6.37082806 1.82254948 -21.603351926 15.52605689 10.279026975
## 922 -6.37082806 1.82254948 -21.603351926 15.52605689 10.279026975
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -10.95378745 10.95844608 8.690161759 19.95835534 18.433302873
## 939 -10.95378745 10.95844608 8.690161759 19.95835534 18.433302873
## 940 -10.95378745 10.95844608 8.690161759 19.95835534 18.433302873
## 941 -10.95378745 10.95844608 8.690161759 19.95835534 18.433302873
## 942 -10.95378745 10.95844608 8.690161759 19.95835534 18.433302873
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -0.06688045 7.96162242 -1.723756432 -15.47983087 30.356624602
## 954 -0.06688045 7.96162242 -1.723756432 -15.47983087 30.356624602
## 955 -0.06688045 7.96162242 -1.723756432 -15.47983087 30.356624602
## 956 -0.06688045 7.96162242 -1.723756432 -15.47983087 30.356624602
## 957 -0.06688045 7.96162242 -1.723756432 -15.47983087 30.356624602
## 958 -8.06697925 3.00204728 63.411148978 9.58024181 5.415595608
## 959 -8.06697925 3.00204728 63.411148978 9.58024181 5.415595608
## 960 -8.06697925 3.00204728 63.411148978 9.58024181 5.415595608
## 961 -8.06697925 3.00204728 63.411148978 9.58024181 5.415595608
## 962 -8.06697925 3.00204728 63.411148978 9.58024181 5.415595608
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 2.13241304 7.31223669 -2.571741354 1.03667453 0.929837633
## 974 2.13241304 7.31223669 -2.571741354 1.03667453 0.929837633
## 975 2.13241304 7.31223669 -2.571741354 1.03667453 0.929837633
## 976 2.13241304 7.31223669 -2.571741354 1.03667453 0.929837633
## 977 2.13241304 7.31223669 -2.571741354 1.03667453 0.929837633
## 978 -4.90949760 -12.97863343 -3.824221084 -4.28944201 -6.580553549
## 979 -4.90949760 -12.97863343 -3.824221084 -4.28944201 -6.580553549
## 980 -4.90949760 -12.97863343 -3.824221084 -4.28944201 -6.580553549
## 981 -4.90949760 -12.97863343 -3.824221084 -4.28944201 -6.580553549
## 982 -4.90949760 -12.97863343 -3.824221084 -4.28944201 -6.580553549
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 1.48374218 -5.25605349 -1.205903764 -0.76096767 -5.439993589
## 994 1.48374218 -5.25605349 -1.205903764 -0.76096767 -5.439993589
## 995 1.48374218 -5.25605349 -1.205903764 -0.76096767 -5.439993589
## 996 1.48374218 -5.25605349 -1.205903764 -0.76096767 -5.439993589
## 997 1.48374218 -5.25605349 -1.205903764 -0.76096767 -5.439993589
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 -0.03718906 25.49800789 -1.163506111 -10.03037368 -13.673028184
## 1009 -0.03718906 25.49800789 -1.163506111 -10.03037368 -13.673028184
## 1010 -0.03718906 25.49800789 -1.163506111 -10.03037368 -13.673028184
## 1011 -0.03718906 25.49800789 -1.163506111 -10.03037368 -13.673028184
## 1012 -0.03718906 25.49800789 -1.163506111 -10.03037368 -13.673028184
## 1013 -1.05484476 -4.20985267 -2.140713778 -2.65728618 -7.258785552
## 1014 -1.05484476 -4.20985267 -2.140713778 -2.65728618 -7.258785552
## 1015 -1.05484476 -4.20985267 -2.140713778 -2.65728618 -7.258785552
## 1016 -1.05484476 -4.20985267 -2.140713778 -2.65728618 -7.258785552
## 1017 -1.05484476 -4.20985267 -2.140713778 -2.65728618 -7.258785552
## 1018 -3.99234602 18.49946495 2.923937502 0.03530764 0.030775736
## 1019 -3.99234602 18.49946495 2.923937502 0.03530764 0.030775736
## 1020 -3.99234602 18.49946495 2.923937502 0.03530764 0.030775736
## 1021 -3.99234602 18.49946495 2.923937502 0.03530764 0.030775736
## 1022 -3.99234602 18.49946495 2.923937502 0.03530764 0.030775736
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 5.89376332 14.40875650 -9.881996541 2.75246990 64.704749921
## 1034 5.89376332 14.40875650 -9.881996541 2.75246990 64.704749921
## 1035 5.89376332 14.40875650 -9.881996541 2.75246990 64.704749921
## 1036 5.89376332 14.40875650 -9.881996541 2.75246990 64.704749921
## 1037 5.89376332 14.40875650 -9.881996541 2.75246990 64.704749921
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -6.14182290 -28.60301004 -1.758294748 -6.15973538 0.872261610
## 1069 -6.14182290 -28.60301004 -1.758294748 -6.15973538 0.872261610
## 1070 -6.14182290 -28.60301004 -1.758294748 -6.15973538 0.872261610
## 1071 -6.14182290 -28.60301004 -1.758294748 -6.15973538 0.872261610
## 1072 -6.14182290 -28.60301004 -1.758294748 -6.15973538 0.872261610
## 1073 4.52706394 -57.50347210 -1.405300623 2.99522370 -7.817987309
## 1074 4.52706394 -57.50347210 -1.405300623 2.99522370 -7.817987309
## 1075 4.52706394 -57.50347210 -1.405300623 2.99522370 -7.817987309
## 1076 4.52706394 -57.50347210 -1.405300623 2.99522370 -7.817987309
## 1077 4.52706394 -57.50347210 -1.405300623 2.99522370 -7.817987309
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 1.70810151 -0.52806190 -4.512258443 1.05729562 -31.828546166
## 1084 1.70810151 -0.52806190 -4.512258443 1.05729562 -31.828546166
## 1085 1.70810151 -0.52806190 -4.512258443 1.05729562 -31.828546166
## 1086 1.70810151 -0.52806190 -4.512258443 1.05729562 -31.828546166
## 1087 1.70810151 -0.52806190 -4.512258443 1.05729562 -31.828546166
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 8.51790977 8.13726943 0.510055248 5.83802463 -35.901806905
## 1094 8.51790977 8.13726943 0.510055248 5.83802463 -35.901806905
## 1095 8.51790977 8.13726943 0.510055248 5.83802463 -35.901806905
## 1096 8.51790977 8.13726943 0.510055248 5.83802463 -35.901806905
## 1097 8.51790977 8.13726943 0.510055248 5.83802463 -35.901806905
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 -10.46570763 6.23518000 -8.603562876 -0.20311265 21.650121197
## 1104 -10.46570763 6.23518000 -8.603562876 -0.20311265 21.650121197
## 1105 -10.46570763 6.23518000 -8.603562876 -0.20311265 21.650121197
## 1106 -10.46570763 6.23518000 -8.603562876 -0.20311265 21.650121197
## 1107 -10.46570763 6.23518000 -8.603562876 -0.20311265 21.650121197
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 -3.76252302 15.70920604 -2.690571682 -1.57170622 -23.180024455
## 1114 -3.76252302 15.70920604 -2.690571682 -1.57170622 -23.180024455
## 1115 -3.76252302 15.70920604 -2.690571682 -1.57170622 -23.180024455
## 1116 -3.76252302 15.70920604 -2.690571682 -1.57170622 -23.180024455
## 1117 -3.76252302 15.70920604 -2.690571682 -1.57170622 -23.180024455
## 1118 -1.73275541 -7.36602989 0.463009795 1.49611717 2.533338474
## 1119 -1.73275541 -7.36602989 0.463009795 1.49611717 2.533338474
## 1120 -1.73275541 -7.36602989 0.463009795 1.49611717 2.533338474
## 1121 -1.73275541 -7.36602989 0.463009795 1.49611717 2.533338474
## 1122 -1.73275541 -7.36602989 0.463009795 1.49611717 2.533338474
## 1123 -0.73505165 14.89802594 -0.883079789 3.99987252 19.979399034
## 1124 -0.73505165 14.89802594 -0.883079789 3.99987252 19.979399034
## 1125 -0.73505165 14.89802594 -0.883079789 3.99987252 19.979399034
## 1126 -0.73505165 14.89802594 -0.883079789 3.99987252 19.979399034
## 1127 -0.73505165 14.89802594 -0.883079789 3.99987252 19.979399034
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 3.96849413 -7.97110793 2.033344929 1.40602438 -15.162056319
## 1134 3.96849413 -7.97110793 2.033344929 1.40602438 -15.162056319
## 1135 3.96849413 -7.97110793 2.033344929 1.40602438 -15.162056319
## 1136 3.96849413 -7.97110793 2.033344929 1.40602438 -15.162056319
## 1137 3.96849413 -7.97110793 2.033344929 1.40602438 -15.162056319
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 0.26798508 1.68109964 3.873126387 2.14533105 -5.552908707
## 1144 0.26798508 1.68109964 3.873126387 2.14533105 -5.552908707
## 1145 0.26798508 1.68109964 3.873126387 2.14533105 -5.552908707
## 1146 0.26798508 1.68109964 3.873126387 2.14533105 -5.552908707
## 1147 0.26798508 1.68109964 3.873126387 2.14533105 -5.552908707
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 -1.71856038 24.03847496 -3.610947389 -4.52446878 6.205844919
## 1154 -1.71856038 24.03847496 -3.610947389 -4.52446878 6.205844919
## 1155 -1.71856038 24.03847496 -3.610947389 -4.52446878 6.205844919
## 1156 -1.71856038 24.03847496 -3.610947389 -4.52446878 6.205844919
## 1157 -1.71856038 24.03847496 -3.610947389 -4.52446878 6.205844919
## 1158 3.51433054 -8.32536423 -5.848341495 -1.51073325 10.679333329
## 1159 3.51433054 -8.32536423 -5.848341495 -1.51073325 10.679333329
## 1160 3.51433054 -8.32536423 -5.848341495 -1.51073325 10.679333329
## 1161 3.51433054 -8.32536423 -5.848341495 -1.51073325 10.679333329
## 1162 3.51433054 -8.32536423 -5.848341495 -1.51073325 10.679333329
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 2.95633596 -0.24106443 -1.788864350 -2.04312678 3.619970113
## 1189 2.95633596 -0.24106443 -1.788864350 -2.04312678 3.619970113
## 1190 2.95633596 -0.24106443 -1.788864350 -2.04312678 3.619970113
## 1191 2.95633596 -0.24106443 -1.788864350 -2.04312678 3.619970113
## 1192 2.95633596 -0.24106443 -1.788864350 -2.04312678 3.619970113
## 1193 1.32523092 20.01677160 1.428078963 -1.01701113 4.826183439
## 1194 1.32523092 20.01677160 1.428078963 -1.01701113 4.826183439
## 1195 1.32523092 20.01677160 1.428078963 -1.01701113 4.826183439
## 1196 1.32523092 20.01677160 1.428078963 -1.01701113 4.826183439
## 1197 1.32523092 20.01677160 1.428078963 -1.01701113 4.826183439
## 1198 5.81896271 25.77108600 -5.533229420 1.24877511 -22.292256695
## 1199 5.81896271 25.77108600 -5.533229420 1.24877511 -22.292256695
## 1200 5.81896271 25.77108600 -5.533229420 1.24877511 -22.292256695
## 1201 5.81896271 25.77108600 -5.533229420 1.24877511 -22.292256695
## 1202 5.81896271 25.77108600 -5.533229420 1.24877511 -22.292256695
## 1203 -2.00578462 23.12964760 1.333660085 3.39649807 -9.360253062
## 1204 -2.00578462 23.12964760 1.333660085 3.39649807 -9.360253062
## 1205 -2.00578462 23.12964760 1.333660085 3.39649807 -9.360253062
## 1206 -2.00578462 23.12964760 1.333660085 3.39649807 -9.360253062
## 1207 -2.00578462 23.12964760 1.333660085 3.39649807 -9.360253062
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 4.16637266 -28.99464445 -2.523308057 -7.07647913 5.573755182
## 1214 4.16637266 -28.99464445 -2.523308057 -7.07647913 5.573755182
## 1215 4.16637266 -28.99464445 -2.523308057 -7.07647913 5.573755182
## 1216 4.16637266 -28.99464445 -2.523308057 -7.07647913 5.573755182
## 1217 4.16637266 -28.99464445 -2.523308057 -7.07647913 5.573755182
## 1218 2.33816597 12.30317457 -2.640921534 -6.78560599 7.092935247
## 1219 2.33816597 12.30317457 -2.640921534 -6.78560599 7.092935247
## 1220 2.33816597 12.30317457 -2.640921534 -6.78560599 7.092935247
## 1221 2.33816597 12.30317457 -2.640921534 -6.78560599 7.092935247
## 1222 2.33816597 12.30317457 -2.640921534 -6.78560599 7.092935247
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 -2.00690282 -21.90967898 -1.690876549 5.69461664 4.769166131
## 1239 -2.00690282 -21.90967898 -1.690876549 5.69461664 4.769166131
## 1240 -2.00690282 -21.90967898 -1.690876549 5.69461664 4.769166131
## 1241 -2.00690282 -21.90967898 -1.690876549 5.69461664 4.769166131
## 1242 -2.00690282 -21.90967898 -1.690876549 5.69461664 4.769166131
## 1243 0.43919487 -32.57555450 -0.783075109 0.39216418 -1.326710560
## 1244 0.43919487 -32.57555450 -0.783075109 0.39216418 -1.326710560
## 1245 0.43919487 -32.57555450 -0.783075109 0.39216418 -1.326710560
## 1246 0.43919487 -32.57555450 -0.783075109 0.39216418 -1.326710560
## 1247 0.43919487 -32.57555450 -0.783075109 0.39216418 -1.326710560
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 -7.98877172 -5.80275231 7.631376987 -10.95355353 81.930543581
## 1264 -7.98877172 -5.80275231 7.631376987 -10.95355353 81.930543581
## 1265 -7.98877172 -5.80275231 7.631376987 -10.95355353 81.930543581
## 1266 -7.98877172 -5.80275231 7.631376987 -10.95355353 81.930543581
## 1267 -7.98877172 -5.80275231 7.631376987 -10.95355353 81.930543581
## 1268 -6.79303696 3.11140611 47.519153015 3.28944627 6.258246098
## 1269 -6.79303696 3.11140611 47.519153015 3.28944627 6.258246098
## 1270 -6.79303696 3.11140611 47.519153015 3.28944627 6.258246098
## 1271 -6.79303696 3.11140611 47.519153015 3.28944627 6.258246098
## 1272 -6.79303696 3.11140611 47.519153015 3.28944627 6.258246098
## 1273 -0.88136940 7.26623157 0.868794840 -2.64126222 0.117601524
## 1274 -0.88136940 7.26623157 0.868794840 -2.64126222 0.117601524
## 1275 -0.88136940 7.26623157 0.868794840 -2.64126222 0.117601524
## 1276 -0.88136940 7.26623157 0.868794840 -2.64126222 0.117601524
## 1277 -0.88136940 7.26623157 0.868794840 -2.64126222 0.117601524
## 1278 -18.02664048 3.53757048 -24.193527991 14.93908181 4.878328413
## 1279 -18.02664048 3.53757048 -24.193527991 14.93908181 4.878328413
## 1280 -18.02664048 3.53757048 -24.193527991 14.93908181 4.878328413
## 1281 -18.02664048 3.53757048 -24.193527991 14.93908181 4.878328413
## 1282 -18.02664048 3.53757048 -24.193527991 14.93908181 4.878328413
## 1283 0.26992876 18.21519820 -0.038757955 -3.72799628 -1.138410575
## 1284 0.26992876 18.21519820 -0.038757955 -3.72799628 -1.138410575
## 1285 0.26992876 18.21519820 -0.038757955 -3.72799628 -1.138410575
## 1286 0.26992876 18.21519820 -0.038757955 -3.72799628 -1.138410575
## 1287 0.26992876 18.21519820 -0.038757955 -3.72799628 -1.138410575
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 -14.67541036 7.07817700 -12.343851883 30.56694557 -5.271149310
## 1299 -14.67541036 7.07817700 -12.343851883 30.56694557 -5.271149310
## 1300 -14.67541036 7.07817700 -12.343851883 30.56694557 -5.271149310
## 1301 -14.67541036 7.07817700 -12.343851883 30.56694557 -5.271149310
## 1302 -14.67541036 7.07817700 -12.343851883 30.56694557 -5.271149310
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 1.57240326 -9.01569519 -1.649966998 1.74627368 1.285114264
## 1314 1.57240326 -9.01569519 -1.649966998 1.74627368 1.285114264
## 1315 1.57240326 -9.01569519 -1.649966998 1.74627368 1.285114264
## 1316 1.57240326 -9.01569519 -1.649966998 1.74627368 1.285114264
## 1317 1.57240326 -9.01569519 -1.649966998 1.74627368 1.285114264
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 1.53500094 4.09590236 41.236157385 -0.57355864 -0.548425674
## 1364 1.53500094 4.09590236 41.236157385 -0.57355864 -0.548425674
## 1365 1.53500094 4.09590236 41.236157385 -0.57355864 -0.548425674
## 1366 1.53500094 4.09590236 41.236157385 -0.57355864 -0.548425674
## 1367 1.53500094 4.09590236 41.236157385 -0.57355864 -0.548425674
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 17.62637309 -1.84676339 42.953423270 -13.38234408 -4.218603960
## 1379 17.62637309 -1.84676339 42.953423270 -13.38234408 -4.218603960
## 1380 17.62637309 -1.84676339 42.953423270 -13.38234408 -4.218603960
## 1381 17.62637309 -1.84676339 42.953423270 -13.38234408 -4.218603960
## 1382 17.62637309 -1.84676339 42.953423270 -13.38234408 -4.218603960
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 69.61990883 8.57197775 -5.927331450 14.98026522 20.057630913
## 1389 69.61990883 8.57197775 -5.927331450 14.98026522 20.057630913
## 1390 69.61990883 8.57197775 -5.927331450 14.98026522 20.057630913
## 1391 69.61990883 8.57197775 -5.927331450 14.98026522 20.057630913
## 1392 69.61990883 8.57197775 -5.927331450 14.98026522 20.057630913
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 1.87225499 4.76757258 -5.972483943 1.54110327 -1.672049044
## 1414 1.87225499 4.76757258 -5.972483943 1.54110327 -1.672049044
## 1415 1.87225499 4.76757258 -5.972483943 1.54110327 -1.672049044
## 1416 1.87225499 4.76757258 -5.972483943 1.54110327 -1.672049044
## 1417 1.87225499 4.76757258 -5.972483943 1.54110327 -1.672049044
## 1418 6.00052119 3.29994242 5.519736531 3.32007422 -2.854258899
## 1419 6.00052119 3.29994242 5.519736531 3.32007422 -2.854258899
## 1420 6.00052119 3.29994242 5.519736531 3.32007422 -2.854258899
## 1421 6.00052119 3.29994242 5.519736531 3.32007422 -2.854258899
## 1422 6.00052119 3.29994242 5.519736531 3.32007422 -2.854258899
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -11.66163816 9.55509996 1.355959867 -14.61678606 -15.968187481
## 1429 -11.66163816 9.55509996 1.355959867 -14.61678606 -15.968187481
## 1430 -11.66163816 9.55509996 1.355959867 -14.61678606 -15.968187481
## 1431 -11.66163816 9.55509996 1.355959867 -14.61678606 -15.968187481
## 1432 -11.66163816 9.55509996 1.355959867 -14.61678606 -15.968187481
## 1433 -0.19452223 3.36747349 1.002626490 0.94946259 -34.033289395
## 1434 -0.19452223 3.36747349 1.002626490 0.94946259 -34.033289395
## 1435 -0.19452223 3.36747349 1.002626490 0.94946259 -34.033289395
## 1436 -0.19452223 3.36747349 1.002626490 0.94946259 -34.033289395
## 1437 -0.19452223 3.36747349 1.002626490 0.94946259 -34.033289395
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 0.88325073 -10.14239837 -1.383314485 -4.41506816 1.375262366
## 1444 0.88325073 -10.14239837 -1.383314485 -4.41506816 1.375262366
## 1445 0.88325073 -10.14239837 -1.383314485 -4.41506816 1.375262366
## 1446 0.88325073 -10.14239837 -1.383314485 -4.41506816 1.375262366
## 1447 0.88325073 -10.14239837 -1.383314485 -4.41506816 1.375262366
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -47.83341859 -2.43190531 7.787977649 7.90172665 -10.460650519
## 1464 -47.83341859 -2.43190531 7.787977649 7.90172665 -10.460650519
## 1465 -47.83341859 -2.43190531 7.787977649 7.90172665 -10.460650519
## 1466 -47.83341859 -2.43190531 7.787977649 7.90172665 -10.460650519
## 1467 -47.83341859 -2.43190531 7.787977649 7.90172665 -10.460650519
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 1.65769619 -0.76175812 -6.628460631 -33.94376774 -16.305298285
## 1489 1.65769619 -0.76175812 -6.628460631 -33.94376774 -16.305298285
## 1490 1.65769619 -0.76175812 -6.628460631 -33.94376774 -16.305298285
## 1491 1.65769619 -0.76175812 -6.628460631 -33.94376774 -16.305298285
## 1492 1.65769619 -0.76175812 -6.628460631 -33.94376774 -16.305298285
## 1493 0.33889639 12.53416100 -3.148266941 -7.93289852 11.009887725
## 1494 0.33889639 12.53416100 -3.148266941 -7.93289852 11.009887725
## 1495 0.33889639 12.53416100 -3.148266941 -7.93289852 11.009887725
## 1496 0.33889639 12.53416100 -3.148266941 -7.93289852 11.009887725
## 1497 0.33889639 12.53416100 -3.148266941 -7.93289852 11.009887725
## 1498 -15.96197876 6.82106614 2.132198277 -4.28445955 8.147250075
## 1499 -15.96197876 6.82106614 2.132198277 -4.28445955 8.147250075
## 1500 -15.96197876 6.82106614 2.132198277 -4.28445955 8.147250075
## 1501 -15.96197876 6.82106614 2.132198277 -4.28445955 8.147250075
## 1502 -15.96197876 6.82106614 2.132198277 -4.28445955 8.147250075
## 1503 19.38015117 14.72880999 2.448260565 2.65885284 -19.923332074
## 1504 19.38015117 14.72880999 2.448260565 2.65885284 -19.923332074
## 1505 19.38015117 14.72880999 2.448260565 2.65885284 -19.923332074
## 1506 19.38015117 14.72880999 2.448260565 2.65885284 -19.923332074
## 1507 19.38015117 14.72880999 2.448260565 2.65885284 -19.923332074
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 3.73067118 3.15470476 -88.008508826 9.35388460 -1.811427681
## 1529 3.73067118 3.15470476 -88.008508826 9.35388460 -1.811427681
## 1530 3.73067118 3.15470476 -88.008508826 9.35388460 -1.811427681
## 1531 3.73067118 3.15470476 -88.008508826 9.35388460 -1.811427681
## 1532 3.73067118 3.15470476 -88.008508826 9.35388460 -1.811427681
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC5_score PC102_score PC16_score PC106_score PC98_score
## 1 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 2 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 3 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 4 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 5 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 6 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 7 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 8 -9.2571322 2.13462801 6.05942662 -7.66420190 -2.84543283
## 9 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 10 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 11 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 12 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 13 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 14 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 15 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 16 -4.6641014 -21.53340999 1.81787251 55.91762731 0.83373479
## 17 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 18 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 19 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 20 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 21 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 22 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 23 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 24 -12.0086721 0.68474360 5.09455610 -1.76753096 4.62861407
## 25 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 26 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 27 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 28 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 29 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 30 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 31 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 32 -7.7905822 -0.31468276 0.51901908 -0.09483958 2.19180882
## 33 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 34 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 35 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 36 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 37 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 38 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 39 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 40 -4.4783686 12.02034369 -2.00618857 -2.42199658 0.38566594
## 41 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 42 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 43 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 44 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 45 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 46 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 47 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 48 0.2356262 -9.21570520 -0.19069022 -3.51285063 -5.68178211
## 49 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 50 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 51 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 52 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 53 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 54 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 55 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 56 -19.9836897 0.10802454 58.25566926 -1.22165025 -1.96270114
## 57 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 58 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 59 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 60 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 61 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 62 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 63 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 64 -8.8849723 -4.60398106 8.49040433 -3.00533580 0.25137380
## 65 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 66 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 67 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 68 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 69 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 70 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 71 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 72 -7.0267386 -2.13922281 0.28833138 -5.41243687 0.16562701
## 73 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 74 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 75 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 76 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 77 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 78 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 79 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 80 -6.9167077 -0.46520470 7.98054971 -4.01304687 0.69047866
## 81 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 82 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 83 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 84 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 85 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 86 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 87 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 88 -5.7439638 -6.72976788 -5.81417262 -3.26137608 -1.42292978
## 89 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 90 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 91 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 92 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 93 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 94 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 95 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 96 -13.8402521 2.63219903 7.86006215 0.22620864 0.33625480
## 97 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 98 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 99 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 100 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 101 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 102 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 103 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 104 -4.0360394 -6.73509440 4.20090472 -3.35237344 5.67119146
## 105 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 106 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 107 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 108 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 109 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 110 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 111 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 112 -4.3319144 -12.47518863 -1.70913169 -0.66999561 3.76627611
## 113 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 114 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 115 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 116 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 117 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 118 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 119 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 120 -30.2347328 1.13591417 -14.28699974 -1.62407477 2.02934233
## 121 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 122 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 123 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 124 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 125 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 126 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 127 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 128 -5.5805766 -1.10630641 3.98697439 -1.28734789 1.65486276
## 129 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 130 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 131 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 132 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 133 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 134 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 135 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 136 -5.0047125 2.63963446 -4.96068941 4.50497938 6.78782368
## 137 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 138 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 139 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 140 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 141 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 142 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 143 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 144 -71.2103932 0.63424836 11.84290888 -0.01325423 0.79086181
## 145 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 146 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 147 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 148 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 149 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 150 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 151 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 152 -3.4315394 1.16861253 6.40702041 -1.67180977 4.54799197
## 153 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 154 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 155 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 156 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 157 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 158 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 159 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 160 -39.0143516 -1.16051208 -39.50933757 0.22210903 -1.50638691
## 161 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 162 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 163 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 164 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 165 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 166 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 167 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 168 -5.3391870 6.38552920 4.76204073 -5.46178334 3.76794440
## 169 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 170 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 171 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 172 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 173 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 174 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 175 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 176 -2.8662738 -7.70968728 1.04979981 22.45595805 -11.94554880
## 177 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 178 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 179 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 180 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 181 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 182 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 183 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 184 -2.5554544 18.41470646 1.55397738 -36.05617368 -30.58586620
## 185 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 186 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 187 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 188 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 189 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 190 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 191 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 192 -42.1284419 0.10020835 -18.59848920 2.67681668 2.22522827
## 193 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 194 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 195 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 196 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 197 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 198 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 199 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 200 -0.7049108 -2.70125017 13.33746244 1.36634310 3.41370430
## 201 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 202 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 203 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 204 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 205 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 206 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 207 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 208 -5.8358536 -0.73147314 -7.18139794 -5.18596488 1.65123904
## 209 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 210 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 211 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 212 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 213 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 214 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 215 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 216 -27.5070155 2.12112588 -56.05747785 1.23058968 -4.08843894
## 217 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 218 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 219 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 220 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 221 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 222 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 223 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 224 13.2746996 -0.27542654 -2.55135574 2.00365769 0.29968513
## 225 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 226 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 227 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 228 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 229 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 230 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 231 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 232 -2.7582135 14.83569660 1.18144661 -15.05361272 -3.90665381
## 233 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 234 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 235 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 236 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 237 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 238 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 239 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 240 -7.7275663 -0.60867868 17.26911584 -0.48400108 -1.39724959
## 241 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 242 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 243 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 244 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 245 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 246 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 247 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 248 7.1809428 6.03527561 3.20674436 -8.67276416 3.24657036
## 249 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 250 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 251 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 252 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 253 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 254 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 255 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 256 -2.7452051 -4.45246846 -1.40479661 0.81397924 2.28240967
## 257 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 258 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 259 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 260 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 261 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 262 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 263 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 264 -0.5450317 -28.55871173 4.33594319 17.04796700 -59.10023498
## 265 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 266 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 267 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 268 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 269 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 270 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 271 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 272 2.7011566 -1.17238286 7.35912405 1.81134259 -0.72907531
## 273 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 274 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 275 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 276 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 277 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 278 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 279 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 280 -5.7408957 -3.53724487 1.23193555 -0.04196570 2.16847817
## 281 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 282 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 283 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 284 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 285 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 286 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 287 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 288 -4.0920712 -1.72985765 0.75016829 -0.54576201 0.87692462
## 289 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 290 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 291 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 292 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 293 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 294 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 295 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 296 -2.1155001 7.34724776 7.59192023 6.27646323 4.85860560
## 297 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 298 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 299 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 300 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 301 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 302 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 303 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 304 -1.2866034 1.10724187 0.74195623 -1.37151481 -3.46838772
## 305 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 306 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 307 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 308 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 309 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 310 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 311 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 312 -3.1125632 27.77556310 -1.63934197 -13.98075029 -10.40428526
## 313 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 314 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 315 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 316 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 317 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 318 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 319 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 320 4.2564780 -4.04776434 4.18463517 -2.34101547 3.40903325
## 321 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 322 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 323 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 324 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 325 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 326 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 327 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 328 3.0947172 -3.72029969 0.90934133 -1.61769956 -2.16837469
## 329 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 330 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 331 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 332 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 333 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 334 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 335 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 336 -0.2568518 7.17213432 -1.92076435 -4.58522781 9.83168962
## 337 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 338 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 339 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 340 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 341 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 342 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 343 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 344 7.2518885 1.18158210 13.53481722 -4.35316166 1.92545740
## 345 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 346 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 347 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 348 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 349 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 350 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 351 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 352 4.1206868 1.71261851 -0.74543803 -0.20305251 1.85895004
## 353 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 354 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 355 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 356 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 357 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 358 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 359 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 360 -3.5301723 3.50756906 -6.68346218 -2.31709321 1.11635103
## 361 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 362 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 363 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 364 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 365 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 366 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 367 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 368 4.0360898 0.23538511 -45.52060984 0.84286295 -0.99157933
## 369 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 370 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 371 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 372 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 373 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 374 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 375 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 376 6.2481958 -0.17693769 0.82396157 1.14169704 4.04919907
## 377 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 378 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 379 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 380 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 381 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 382 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 383 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 384 0.6092214 6.23759476 2.42617986 2.36935085 1.38518460
## 385 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 386 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 387 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 388 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 389 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 390 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 391 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 392 0.2399700 -16.32765543 -0.32124170 4.57828079 21.96218763
## 393 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 394 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 395 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 396 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 397 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 398 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 399 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 400 -0.4244809 20.40705071 -1.20919384 21.99885004 2.65718644
## 401 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 402 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 403 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 404 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 405 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 406 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 407 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 408 6.2297243 -0.54908021 4.48705524 1.11978272 -4.59884648
## 409 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 410 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 411 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 412 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 413 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 414 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 415 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 416 5.4920039 -5.97010052 3.09238412 3.37185954 10.92890416
## 417 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 418 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 419 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 420 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 421 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 422 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 423 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 424 -2.6379333 1.96747189 -4.10202610 -16.15844196 -12.54738573
## 425 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 426 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 427 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 428 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 429 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 430 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 431 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 432 -6.5772625 -1.37522294 3.35928028 -3.38868666 5.52575046
## 433 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 434 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 435 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 436 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 437 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 438 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 439 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 440 0.5319983 -4.99170437 1.71603181 -0.62702751 -4.44123841
## 441 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 442 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 443 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 444 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 445 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 446 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 447 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 448 -22.6704588 -0.47452418 46.43136939 -1.37261902 0.22484018
## 449 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 450 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 451 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 452 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 453 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 454 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 455 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 456 -1.6281680 -6.87515559 -1.41451298 -4.10582573 -11.20616560
## 457 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 458 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 459 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 460 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 461 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 462 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 463 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 464 -4.8840153 -5.28418435 3.87437385 2.07842103 6.59094795
## 465 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 466 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 467 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 468 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 469 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 470 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 471 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 472 -1.6892147 -0.84157134 -5.14319984 -0.41857272 -4.04803374
## 473 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 474 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 475 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 476 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 477 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 478 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 479 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 480 -18.7472931 -0.29108495 -40.34367367 -2.57720050 0.04699928
## 481 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 482 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 483 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 484 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 485 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 486 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 487 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 488 8.0316422 -2.37316246 15.85759314 2.68555835 -1.89777855
## 489 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 490 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 491 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 492 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 493 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 494 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 495 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 496 -0.7264733 -3.12860413 15.57264154 1.20878025 -3.86891830
## 497 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 498 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 499 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 500 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 501 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 502 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 503 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 504 3.4144561 -5.74663540 -0.51349231 -2.26798366 32.98784781
## 505 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 506 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 507 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 508 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 509 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 510 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 511 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 512 -10.3096175 -0.73469577 50.64301371 -0.42513055 1.56230485
## 513 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 514 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 515 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 516 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 517 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 518 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 519 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 520 -1.3915600 1.14793894 -7.18176805 -2.72956410 -1.35153799
## 521 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 522 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 523 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 524 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 525 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 526 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 527 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 528 4.3861171 0.86216232 -6.85829670 1.36122118 -0.04237715
## 529 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 530 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 531 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 532 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 533 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 534 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 535 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 536 12.4950943 -1.02438473 -4.79998348 -1.91493171 -3.17885369
## 537 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 538 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 539 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 540 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 541 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 542 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 543 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 544 -4.2650666 -3.19650732 0.85852973 3.57940784 1.91460071
## 545 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 546 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 547 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 548 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 549 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 550 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 551 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 552 4.4804616 25.14922447 -0.30501227 -7.48783179 -11.89289871
## 553 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 554 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 555 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 556 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 557 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 558 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 559 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 560 -6.2629558 -2.98951756 -9.14618707 1.08687646 1.19187946
## 561 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 562 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 563 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 564 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 565 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 566 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 567 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 568 2.8976040 -0.27108069 -0.37316608 2.38944001 -5.60733841
## 569 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 570 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 571 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 572 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 573 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 574 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 575 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 576 -3.4773995 22.99407641 1.58480900 15.95938868 -11.99194402
## 577 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 578 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 579 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 580 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 581 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 582 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 583 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 584 2.3249914 -6.56847610 -1.44841688 -7.96220275 -2.41521071
## 585 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 586 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 587 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 588 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 589 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 590 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 591 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 592 15.7502622 1.14037779 18.71276464 1.37315773 1.75322999
## 593 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 594 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 595 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 596 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 597 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 598 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 599 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 600 3.6919532 -2.49476117 -26.69909986 0.99275803 -1.96033009
## 601 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 602 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 603 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 604 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 605 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 606 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 607 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 608 4.3934400 -7.58291096 2.68956922 -2.55352233 -7.10963658
## 609 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 610 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 611 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 612 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 613 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 614 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 615 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 616 1.8144455 8.72979043 -2.80583642 3.47868651 79.69273511
## 617 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 618 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 619 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 620 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 621 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 622 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 623 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 624 5.3981623 4.38328841 -1.54170964 2.87472821 -2.80430551
## 625 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 626 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 627 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 628 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 629 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 630 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 631 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 632 8.4009465 -4.32136318 7.40642174 7.39712327 -0.01323440
## 633 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 634 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 635 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 636 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 637 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 638 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 639 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 640 1.1335713 -11.56836709 -2.16708457 0.84880532 1.12251106
## 641 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 642 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 643 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 644 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 645 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 646 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 647 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 648 -10.4028011 -2.25998858 24.31783497 1.46616585 -1.46744184
## 649 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 650 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 651 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 652 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 653 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 654 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 655 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 656 -1.8955170 -0.01111234 3.05208220 2.76951052 -0.10860892
## 657 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 658 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 659 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 660 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 661 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 662 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 663 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 664 11.4996974 -1.63150217 7.91102996 -2.17073020 -0.22561511
## 665 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 666 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 667 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 668 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 669 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 670 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 671 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 672 15.9945940 -0.09752376 13.81159021 -0.54724080 -0.56149925
## 673 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 674 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 675 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 676 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 677 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 678 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 679 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 680 1.3970520 56.82774098 -0.23522279 -32.53446353 -8.78971778
## 681 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 682 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 683 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 684 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 685 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 686 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 687 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 688 13.9234345 -3.92262517 -0.91990157 -3.44093261 2.61275212
## 689 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 690 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 691 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 692 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 693 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 694 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 695 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 696 4.0321132 -39.53211910 -4.04050002 -16.62933402 14.56059463
## 697 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 698 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 699 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 700 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 701 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 702 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 703 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 704 20.4960945 -0.89677411 -15.45829850 -0.46444636 -0.97371673
## 705 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 706 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 707 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 708 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 709 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 710 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 711 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 712 5.7009017 12.67445747 1.02004661 26.92160781 4.94406568
## 713 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 714 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 715 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 716 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 717 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 718 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 719 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 720 4.6945058 -2.39826226 0.24184506 -9.97148385 7.41270122
## 721 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 722 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 723 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 724 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 725 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 726 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 727 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 728 3.6309358 -13.95873187 -1.48581185 -4.66285404 -6.82647643
## 729 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 730 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 731 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 732 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 733 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 734 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 735 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 736 40.0354047 2.59406803 11.04894173 -0.66248763 0.41668850
## 737 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 738 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 739 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 740 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 741 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 742 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 743 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 744 6.7730799 11.27258511 0.12247160 -8.36755877 -7.82770649
## 745 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 746 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 747 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 748 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 749 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 750 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 751 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 752 1.6718763 -4.75479986 -2.10793498 -0.05586448 14.08506458
## 753 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 754 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 755 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 756 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 757 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 758 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 759 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 760 8.0844587 -2.55675541 -3.89632557 6.16307718 0.17022179
## 761 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 762 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 763 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 764 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 765 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 766 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 767 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 768 4.7275025 -6.20212693 -9.55836574 -0.09188970 -10.02603143
## 769 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 770 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 771 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 772 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 773 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 774 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 775 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 776 -1.1575943 2.32367472 -2.40209783 -13.04712203 1.48963750
## 777 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 778 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 779 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 780 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 781 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 782 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 783 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 784 8.9265643 -3.76877844 -7.01160620 -1.83175159 1.03487195
## 785 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 786 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 787 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 788 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 789 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 790 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 791 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 792 97.8659352 0.65405746 -21.85357218 -1.57319391 -0.64566218
## 793 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 794 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 795 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 796 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 797 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 798 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 799 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 800 2.4069927 2.38913689 -9.59513850 0.06291525 3.47015517
## 801 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 802 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 803 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 804 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 805 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 806 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 807 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 808 5.7558626 -37.55522033 -5.88047155 -1.91455718 -24.76968949
## 809 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 810 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 811 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 812 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 813 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 814 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 815 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 816 5.5680008 -2.12629004 -8.07168724 -3.43011932 8.65304833
## 817 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 818 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 819 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 820 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 821 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 822 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 823 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 824 3.4893444 2.76374887 -2.18868281 9.11896612 -4.30220518
## 825 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 826 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 827 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 828 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 829 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 830 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 831 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 832 21.3035787 4.16147710 -5.92410182 -2.31965045 -3.59792197
## 833 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 834 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 835 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 836 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 837 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 838 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 839 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 840 -1.0537012 -3.75791913 2.41632461 -10.06785574 -2.10376239
## 841 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 842 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 843 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 844 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 845 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 846 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 847 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 848 3.4697613 0.64731033 -10.62392772 1.05820711 0.29239150
## 849 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 850 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 851 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 852 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 853 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 854 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 855 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 856 5.7082156 -1.80748488 -4.81778028 -0.94232504 1.31465980
## 857 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 858 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 859 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 860 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 861 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 862 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 863 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 864 4.3495660 -0.69166394 0.40275388 -1.02402069 3.45406169
## 865 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 866 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 867 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 868 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 869 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 870 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 871 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 872 0.9833390 0.87215140 -1.12735308 0.65665468 -0.46297329
## 873 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 874 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 875 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 876 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 877 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 878 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 879 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 880 -3.0369824 -0.15975004 -34.82563140 1.70521313 1.15073927
## 881 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 882 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 883 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 884 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 885 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 886 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 887 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 888 4.9309148 48.98044621 -1.35554619 67.73263880 -11.08073074
## 889 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 890 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 891 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 892 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 893 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 894 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 895 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 896 2.4969848 -11.50547112 0.10483949 2.77617856 -3.85816900
## 897 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 898 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 899 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 900 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 901 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 902 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 903 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 904 29.8022269 -0.13012219 35.56641138 -2.17369469 1.06332898
## 905 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 906 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 907 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 908 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 909 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 910 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 911 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 912 3.6902623 0.33696807 -4.82207573 -4.54343169 3.42341929
## 913 15.6004168 0.30284726 -15.64095271 0.30624363 2.81694460
## 914 15.6004168 0.30284726 -15.64095271 0.30624363 2.81694460
## 915 15.6004168 0.30284726 -15.64095271 0.30624363 2.81694460
## 916 15.6004168 0.30284726 -15.64095271 0.30624363 2.81694460
## 917 15.6004168 0.30284726 -15.64095271 0.30624363 2.81694460
## 918 -8.9528814 -115.34019990 6.76231050 -9.02693437 -47.82640305
## 919 -8.9528814 -115.34019990 6.76231050 -9.02693437 -47.82640305
## 920 -8.9528814 -115.34019990 6.76231050 -9.02693437 -47.82640305
## 921 -8.9528814 -115.34019990 6.76231050 -9.02693437 -47.82640305
## 922 -8.9528814 -115.34019990 6.76231050 -9.02693437 -47.82640305
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -10.1967733 22.46851912 7.39229625 -12.01438680 -20.02444412
## 939 -10.1967733 22.46851912 7.39229625 -12.01438680 -20.02444412
## 940 -10.1967733 22.46851912 7.39229625 -12.01438680 -20.02444412
## 941 -10.1967733 22.46851912 7.39229625 -12.01438680 -20.02444412
## 942 -10.1967733 22.46851912 7.39229625 -12.01438680 -20.02444412
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -8.1955100 -0.88732564 2.15948182 0.52995856 -4.12859576
## 954 -8.1955100 -0.88732564 2.15948182 0.52995856 -4.12859576
## 955 -8.1955100 -0.88732564 2.15948182 0.52995856 -4.12859576
## 956 -8.1955100 -0.88732564 2.15948182 0.52995856 -4.12859576
## 957 -8.1955100 -0.88732564 2.15948182 0.52995856 -4.12859576
## 958 -8.3874555 -24.14787005 7.56267645 22.93036870 -3.95736040
## 959 -8.3874555 -24.14787005 7.56267645 22.93036870 -3.95736040
## 960 -8.3874555 -24.14787005 7.56267645 22.93036870 -3.95736040
## 961 -8.3874555 -24.14787005 7.56267645 22.93036870 -3.95736040
## 962 -8.3874555 -24.14787005 7.56267645 22.93036870 -3.95736040
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 -6.1131092 4.09030993 -7.27917255 2.60663826 1.00877924
## 974 -6.1131092 4.09030993 -7.27917255 2.60663826 1.00877924
## 975 -6.1131092 4.09030993 -7.27917255 2.60663826 1.00877924
## 976 -6.1131092 4.09030993 -7.27917255 2.60663826 1.00877924
## 977 -6.1131092 4.09030993 -7.27917255 2.60663826 1.00877924
## 978 -10.3933677 4.61263674 11.44571538 0.87574088 0.60879714
## 979 -10.3933677 4.61263674 11.44571538 0.87574088 0.60879714
## 980 -10.3933677 4.61263674 11.44571538 0.87574088 0.60879714
## 981 -10.3933677 4.61263674 11.44571538 0.87574088 0.60879714
## 982 -10.3933677 4.61263674 11.44571538 0.87574088 0.60879714
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -13.5652047 1.58301865 25.60332088 -0.22836089 2.12582545
## 994 -13.5652047 1.58301865 25.60332088 -0.22836089 2.12582545
## 995 -13.5652047 1.58301865 25.60332088 -0.22836089 2.12582545
## 996 -13.5652047 1.58301865 25.60332088 -0.22836089 2.12582545
## 997 -13.5652047 1.58301865 25.60332088 -0.22836089 2.12582545
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 -16.0634054 -8.66363837 15.17012242 -0.40226533 9.72428358
## 1009 -16.0634054 -8.66363837 15.17012242 -0.40226533 9.72428358
## 1010 -16.0634054 -8.66363837 15.17012242 -0.40226533 9.72428358
## 1011 -16.0634054 -8.66363837 15.17012242 -0.40226533 9.72428358
## 1012 -16.0634054 -8.66363837 15.17012242 -0.40226533 9.72428358
## 1013 -97.6626591 3.73007823 -3.12416023 -0.25265590 3.10850038
## 1014 -97.6626591 3.73007823 -3.12416023 -0.25265590 3.10850038
## 1015 -97.6626591 3.73007823 -3.12416023 -0.25265590 3.10850038
## 1016 -97.6626591 3.73007823 -3.12416023 -0.25265590 3.10850038
## 1017 -97.6626591 3.73007823 -3.12416023 -0.25265590 3.10850038
## 1018 -12.4498228 3.94991066 22.45941275 -0.18131467 -4.89737009
## 1019 -12.4498228 3.94991066 22.45941275 -0.18131467 -4.89737009
## 1020 -12.4498228 3.94991066 22.45941275 -0.18131467 -4.89737009
## 1021 -12.4498228 3.94991066 22.45941275 -0.18131467 -4.89737009
## 1022 -12.4498228 3.94991066 22.45941275 -0.18131467 -4.89737009
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 -9.4903697 5.28161728 6.55564153 -3.06399696 2.94963688
## 1034 -9.4903697 5.28161728 6.55564153 -3.06399696 2.94963688
## 1035 -9.4903697 5.28161728 6.55564153 -3.06399696 2.94963688
## 1036 -9.4903697 5.28161728 6.55564153 -3.06399696 2.94963688
## 1037 -9.4903697 5.28161728 6.55564153 -3.06399696 2.94963688
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -16.4384941 1.27953664 35.09373748 -0.01344175 -0.69142032
## 1069 -16.4384941 1.27953664 35.09373748 -0.01344175 -0.69142032
## 1070 -16.4384941 1.27953664 35.09373748 -0.01344175 -0.69142032
## 1071 -16.4384941 1.27953664 35.09373748 -0.01344175 -0.69142032
## 1072 -16.4384941 1.27953664 35.09373748 -0.01344175 -0.69142032
## 1073 -10.3407688 0.71719236 25.46923216 3.78125632 7.55820351
## 1074 -10.3407688 0.71719236 25.46923216 3.78125632 7.55820351
## 1075 -10.3407688 0.71719236 25.46923216 3.78125632 7.55820351
## 1076 -10.3407688 0.71719236 25.46923216 3.78125632 7.55820351
## 1077 -10.3407688 0.71719236 25.46923216 3.78125632 7.55820351
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 -22.9783629 5.78735036 8.49083505 -1.59604051 -5.29738455
## 1084 -22.9783629 5.78735036 8.49083505 -1.59604051 -5.29738455
## 1085 -22.9783629 5.78735036 8.49083505 -1.59604051 -5.29738455
## 1086 -22.9783629 5.78735036 8.49083505 -1.59604051 -5.29738455
## 1087 -22.9783629 5.78735036 8.49083505 -1.59604051 -5.29738455
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -9.6312923 -4.88934773 5.22831540 -3.32891117 6.19452887
## 1094 -9.6312923 -4.88934773 5.22831540 -3.32891117 6.19452887
## 1095 -9.6312923 -4.88934773 5.22831540 -3.32891117 6.19452887
## 1096 -9.6312923 -4.88934773 5.22831540 -3.32891117 6.19452887
## 1097 -9.6312923 -4.88934773 5.22831540 -3.32891117 6.19452887
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 -0.5779082 27.09418204 0.39910422 -6.42450401 -22.28050907
## 1104 -0.5779082 27.09418204 0.39910422 -6.42450401 -22.28050907
## 1105 -0.5779082 27.09418204 0.39910422 -6.42450401 -22.28050907
## 1106 -0.5779082 27.09418204 0.39910422 -6.42450401 -22.28050907
## 1107 -0.5779082 27.09418204 0.39910422 -6.42450401 -22.28050907
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 -7.2732681 6.87807183 8.47760877 1.53636845 -3.86968124
## 1114 -7.2732681 6.87807183 8.47760877 1.53636845 -3.86968124
## 1115 -7.2732681 6.87807183 8.47760877 1.53636845 -3.86968124
## 1116 -7.2732681 6.87807183 8.47760877 1.53636845 -3.86968124
## 1117 -7.2732681 6.87807183 8.47760877 1.53636845 -3.86968124
## 1118 -7.8976918 -0.98632997 -10.06598958 2.98389130 4.20512701
## 1119 -7.8976918 -0.98632997 -10.06598958 2.98389130 4.20512701
## 1120 -7.8976918 -0.98632997 -10.06598958 2.98389130 4.20512701
## 1121 -7.8976918 -0.98632997 -10.06598958 2.98389130 4.20512701
## 1122 -7.8976918 -0.98632997 -10.06598958 2.98389130 4.20512701
## 1123 -10.6166846 7.00973416 3.26848224 -4.20779451 -7.88765604
## 1124 -10.6166846 7.00973416 3.26848224 -4.20779451 -7.88765604
## 1125 -10.6166846 7.00973416 3.26848224 -4.20779451 -7.88765604
## 1126 -10.6166846 7.00973416 3.26848224 -4.20779451 -7.88765604
## 1127 -10.6166846 7.00973416 3.26848224 -4.20779451 -7.88765604
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 -7.3179535 4.87355755 9.82800259 -1.71309142 0.76118858
## 1134 -7.3179535 4.87355755 9.82800259 -1.71309142 0.76118858
## 1135 -7.3179535 4.87355755 9.82800259 -1.71309142 0.76118858
## 1136 -7.3179535 4.87355755 9.82800259 -1.71309142 0.76118858
## 1137 -7.3179535 4.87355755 9.82800259 -1.71309142 0.76118858
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 -2.4661324 -1.46242366 -55.99431936 -1.56802220 -0.38407191
## 1144 -2.4661324 -1.46242366 -55.99431936 -1.56802220 -0.38407191
## 1145 -2.4661324 -1.46242366 -55.99431936 -1.56802220 -0.38407191
## 1146 -2.4661324 -1.46242366 -55.99431936 -1.56802220 -0.38407191
## 1147 -2.4661324 -1.46242366 -55.99431936 -1.56802220 -0.38407191
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 -10.5397993 0.07106091 8.86595487 -5.09298627 -1.17017136
## 1154 -10.5397993 0.07106091 8.86595487 -5.09298627 -1.17017136
## 1155 -10.5397993 0.07106091 8.86595487 -5.09298627 -1.17017136
## 1156 -10.5397993 0.07106091 8.86595487 -5.09298627 -1.17017136
## 1157 -10.5397993 0.07106091 8.86595487 -5.09298627 -1.17017136
## 1158 -5.3166901 1.82833539 5.79788299 -2.57061593 2.71301839
## 1159 -5.3166901 1.82833539 5.79788299 -2.57061593 2.71301839
## 1160 -5.3166901 1.82833539 5.79788299 -2.57061593 2.71301839
## 1161 -5.3166901 1.82833539 5.79788299 -2.57061593 2.71301839
## 1162 -5.3166901 1.82833539 5.79788299 -2.57061593 2.71301839
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 -6.0231152 5.58271927 -2.12462711 1.36235998 0.30751956
## 1189 -6.0231152 5.58271927 -2.12462711 1.36235998 0.30751956
## 1190 -6.0231152 5.58271927 -2.12462711 1.36235998 0.30751956
## 1191 -6.0231152 5.58271927 -2.12462711 1.36235998 0.30751956
## 1192 -6.0231152 5.58271927 -2.12462711 1.36235998 0.30751956
## 1193 1.0206666 -3.20963427 23.28229628 -3.97268837 1.44839981
## 1194 1.0206666 -3.20963427 23.28229628 -3.97268837 1.44839981
## 1195 1.0206666 -3.20963427 23.28229628 -3.97268837 1.44839981
## 1196 1.0206666 -3.20963427 23.28229628 -3.97268837 1.44839981
## 1197 1.0206666 -3.20963427 23.28229628 -3.97268837 1.44839981
## 1198 -6.0750870 -2.86507818 5.85674587 1.53328095 4.70074934
## 1199 -6.0750870 -2.86507818 5.85674587 1.53328095 4.70074934
## 1200 -6.0750870 -2.86507818 5.85674587 1.53328095 4.70074934
## 1201 -6.0750870 -2.86507818 5.85674587 1.53328095 4.70074934
## 1202 -6.0750870 -2.86507818 5.85674587 1.53328095 4.70074934
## 1203 1.8987443 5.32759161 -3.84171131 4.47445178 -0.15931731
## 1204 1.8987443 5.32759161 -3.84171131 4.47445178 -0.15931731
## 1205 1.8987443 5.32759161 -3.84171131 4.47445178 -0.15931731
## 1206 1.8987443 5.32759161 -3.84171131 4.47445178 -0.15931731
## 1207 1.8987443 5.32759161 -3.84171131 4.47445178 -0.15931731
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -9.4573297 -2.22999373 4.04648781 -4.55133142 6.89925265
## 1214 -9.4573297 -2.22999373 4.04648781 -4.55133142 6.89925265
## 1215 -9.4573297 -2.22999373 4.04648781 -4.55133142 6.89925265
## 1216 -9.4573297 -2.22999373 4.04648781 -4.55133142 6.89925265
## 1217 -9.4573297 -2.22999373 4.04648781 -4.55133142 6.89925265
## 1218 -2.6810808 -6.24605755 0.38244438 -0.36186234 3.81303057
## 1219 -2.6810808 -6.24605755 0.38244438 -0.36186234 3.81303057
## 1220 -2.6810808 -6.24605755 0.38244438 -0.36186234 3.81303057
## 1221 -2.6810808 -6.24605755 0.38244438 -0.36186234 3.81303057
## 1222 -2.6810808 -6.24605755 0.38244438 -0.36186234 3.81303057
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 -0.7639736 1.39554070 14.13780833 -1.05502226 -6.32376744
## 1239 -0.7639736 1.39554070 14.13780833 -1.05502226 -6.32376744
## 1240 -0.7639736 1.39554070 14.13780833 -1.05502226 -6.32376744
## 1241 -0.7639736 1.39554070 14.13780833 -1.05502226 -6.32376744
## 1242 -0.7639736 1.39554070 14.13780833 -1.05502226 -6.32376744
## 1243 -11.5898379 -0.87417478 3.96685631 -0.93903069 -2.56852055
## 1244 -11.5898379 -0.87417478 3.96685631 -0.93903069 -2.56852055
## 1245 -11.5898379 -0.87417478 3.96685631 -0.93903069 -2.56852055
## 1246 -11.5898379 -0.87417478 3.96685631 -0.93903069 -2.56852055
## 1247 -11.5898379 -0.87417478 3.96685631 -0.93903069 -2.56852055
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 1.7399426 5.94693910 -0.20859054 -1.96488335 3.45080603
## 1264 1.7399426 5.94693910 -0.20859054 -1.96488335 3.45080603
## 1265 1.7399426 5.94693910 -0.20859054 -1.96488335 3.45080603
## 1266 1.7399426 5.94693910 -0.20859054 -1.96488335 3.45080603
## 1267 1.7399426 5.94693910 -0.20859054 -1.96488335 3.45080603
## 1268 -4.1684513 13.28622163 2.33409554 69.51535789 -0.80917161
## 1269 -4.1684513 13.28622163 2.33409554 69.51535789 -0.80917161
## 1270 -4.1684513 13.28622163 2.33409554 69.51535789 -0.80917161
## 1271 -4.1684513 13.28622163 2.33409554 69.51535789 -0.80917161
## 1272 -4.1684513 13.28622163 2.33409554 69.51535789 -0.80917161
## 1273 -42.0765310 2.07360671 -63.50056435 1.14369870 0.29759717
## 1274 -42.0765310 2.07360671 -63.50056435 1.14369870 0.29759717
## 1275 -42.0765310 2.07360671 -63.50056435 1.14369870 0.29759717
## 1276 -42.0765310 2.07360671 -63.50056435 1.14369870 0.29759717
## 1277 -42.0765310 2.07360671 -63.50056435 1.14369870 0.29759717
## 1278 -8.6665563 12.98555745 3.49496034 -42.34822053 -2.33180825
## 1279 -8.6665563 12.98555745 3.49496034 -42.34822053 -2.33180825
## 1280 -8.6665563 12.98555745 3.49496034 -42.34822053 -2.33180825
## 1281 -8.6665563 12.98555745 3.49496034 -42.34822053 -2.33180825
## 1282 -8.6665563 12.98555745 3.49496034 -42.34822053 -2.33180825
## 1283 -14.9554746 0.47392572 43.24214700 1.92772492 0.88442628
## 1284 -14.9554746 0.47392572 43.24214700 1.92772492 0.88442628
## 1285 -14.9554746 0.47392572 43.24214700 1.92772492 0.88442628
## 1286 -14.9554746 0.47392572 43.24214700 1.92772492 0.88442628
## 1287 -14.9554746 0.47392572 43.24214700 1.92772492 0.88442628
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 -1.0571842 15.39288053 4.07497053 3.29757775 47.78411396
## 1299 -1.0571842 15.39288053 4.07497053 3.29757775 47.78411396
## 1300 -1.0571842 15.39288053 4.07497053 3.29757775 47.78411396
## 1301 -1.0571842 15.39288053 4.07497053 3.29757775 47.78411396
## 1302 -1.0571842 15.39288053 4.07497053 3.29757775 47.78411396
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 14.3570990 -2.65934097 -119.10093549 -0.45569162 -1.13082490
## 1314 14.3570990 -2.65934097 -119.10093549 -0.45569162 -1.13082490
## 1315 14.3570990 -2.65934097 -119.10093549 -0.45569162 -1.13082490
## 1316 14.3570990 -2.65934097 -119.10093549 -0.45569162 -1.13082490
## 1317 14.3570990 -2.65934097 -119.10093549 -0.45569162 -1.13082490
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 -2.2128331 5.34701461 1.92610151 44.63260491 3.59438391
## 1364 -2.2128331 5.34701461 1.92610151 44.63260491 3.59438391
## 1365 -2.2128331 5.34701461 1.92610151 44.63260491 3.59438391
## 1366 -2.2128331 5.34701461 1.92610151 44.63260491 3.59438391
## 1367 -2.2128331 5.34701461 1.92610151 44.63260491 3.59438391
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 2.7342548 21.40644999 -3.51553927 -16.39683088 8.00144913
## 1379 2.7342548 21.40644999 -3.51553927 -16.39683088 8.00144913
## 1380 2.7342548 21.40644999 -3.51553927 -16.39683088 8.00144913
## 1381 2.7342548 21.40644999 -3.51553927 -16.39683088 8.00144913
## 1382 2.7342548 21.40644999 -3.51553927 -16.39683088 8.00144913
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 0.0757154 -11.82982796 -0.06634243 -0.57168117 40.77527139
## 1389 0.0757154 -11.82982796 -0.06634243 -0.57168117 40.77527139
## 1390 0.0757154 -11.82982796 -0.06634243 -0.57168117 40.77527139
## 1391 0.0757154 -11.82982796 -0.06634243 -0.57168117 40.77527139
## 1392 0.0757154 -11.82982796 -0.06634243 -0.57168117 40.77527139
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 -2.7269427 -4.77566675 1.86616872 3.51567364 0.46905353
## 1414 -2.7269427 -4.77566675 1.86616872 3.51567364 0.46905353
## 1415 -2.7269427 -4.77566675 1.86616872 3.51567364 0.46905353
## 1416 -2.7269427 -4.77566675 1.86616872 3.51567364 0.46905353
## 1417 -2.7269427 -4.77566675 1.86616872 3.51567364 0.46905353
## 1418 -0.7408899 7.61703049 1.12475798 5.37718606 -2.18970788
## 1419 -0.7408899 7.61703049 1.12475798 5.37718606 -2.18970788
## 1420 -0.7408899 7.61703049 1.12475798 5.37718606 -2.18970788
## 1421 -0.7408899 7.61703049 1.12475798 5.37718606 -2.18970788
## 1422 -0.7408899 7.61703049 1.12475798 5.37718606 -2.18970788
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -1.3935094 -21.55832968 3.66567011 -3.49577146 -2.83607007
## 1429 -1.3935094 -21.55832968 3.66567011 -3.49577146 -2.83607007
## 1430 -1.3935094 -21.55832968 3.66567011 -3.49577146 -2.83607007
## 1431 -1.3935094 -21.55832968 3.66567011 -3.49577146 -2.83607007
## 1432 -1.3935094 -21.55832968 3.66567011 -3.49577146 -2.83607007
## 1433 9.3608248 2.75913853 -2.73292823 0.03354658 0.30623489
## 1434 9.3608248 2.75913853 -2.73292823 0.03354658 0.30623489
## 1435 9.3608248 2.75913853 -2.73292823 0.03354658 0.30623489
## 1436 9.3608248 2.75913853 -2.73292823 0.03354658 0.30623489
## 1437 9.3608248 2.75913853 -2.73292823 0.03354658 0.30623489
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 9.6029977 1.75835637 5.12429406 -1.51198122 0.12042732
## 1444 9.6029977 1.75835637 5.12429406 -1.51198122 0.12042732
## 1445 9.6029977 1.75835637 5.12429406 -1.51198122 0.12042732
## 1446 9.6029977 1.75835637 5.12429406 -1.51198122 0.12042732
## 1447 9.6029977 1.75835637 5.12429406 -1.51198122 0.12042732
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 1.5823305 1.76610686 -1.09935461 0.09897567 -30.74368842
## 1464 1.5823305 1.76610686 -1.09935461 0.09897567 -30.74368842
## 1465 1.5823305 1.76610686 -1.09935461 0.09897567 -30.74368842
## 1466 1.5823305 1.76610686 -1.09935461 0.09897567 -30.74368842
## 1467 1.5823305 1.76610686 -1.09935461 0.09897567 -30.74368842
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 1.0568383 -8.27204053 -0.32974120 2.18338493 20.27008034
## 1489 1.0568383 -8.27204053 -0.32974120 2.18338493 20.27008034
## 1490 1.0568383 -8.27204053 -0.32974120 2.18338493 20.27008034
## 1491 1.0568383 -8.27204053 -0.32974120 2.18338493 20.27008034
## 1492 1.0568383 -8.27204053 -0.32974120 2.18338493 20.27008034
## 1493 0.6566887 -4.79437486 -5.30667521 -2.93266911 -15.38714809
## 1494 0.6566887 -4.79437486 -5.30667521 -2.93266911 -15.38714809
## 1495 0.6566887 -4.79437486 -5.30667521 -2.93266911 -15.38714809
## 1496 0.6566887 -4.79437486 -5.30667521 -2.93266911 -15.38714809
## 1497 0.6566887 -4.79437486 -5.30667521 -2.93266911 -15.38714809
## 1498 1.9555706 -0.37044298 1.54347305 -11.87359914 -13.31727992
## 1499 1.9555706 -0.37044298 1.54347305 -11.87359914 -13.31727992
## 1500 1.9555706 -0.37044298 1.54347305 -11.87359914 -13.31727992
## 1501 1.9555706 -0.37044298 1.54347305 -11.87359914 -13.31727992
## 1502 1.9555706 -0.37044298 1.54347305 -11.87359914 -13.31727992
## 1503 -1.4640695 -4.38976597 -0.82087193 -7.97615779 4.55028362
## 1504 -1.4640695 -4.38976597 -0.82087193 -7.97615779 4.55028362
## 1505 -1.4640695 -4.38976597 -0.82087193 -7.97615779 4.55028362
## 1506 -1.4640695 -4.38976597 -0.82087193 -7.97615779 4.55028362
## 1507 -1.4640695 -4.38976597 -0.82087193 -7.97615779 4.55028362
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 -1.1884765 38.54499666 -1.77549981 66.69845857 -14.05178917
## 1529 -1.1884765 38.54499666 -1.77549981 66.69845857 -14.05178917
## 1530 -1.1884765 38.54499666 -1.77549981 66.69845857 -14.05178917
## 1531 -1.1884765 38.54499666 -1.77549981 66.69845857 -14.05178917
## 1532 -1.1884765 38.54499666 -1.77549981 66.69845857 -14.05178917
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC3_score PC28_score PC61_score PC111_score PC55_score
## 1 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 2 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 3 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 4 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 5 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 6 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 7 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 8 4.777410e-01 3.524453334 -11.6726908 3.04032503 3.09216075
## 9 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 10 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 11 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 12 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 13 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 14 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 15 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 16 1.088332e+00 -3.217537414 2.9121341 5.53848786 -1.56603409
## 17 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 18 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 19 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 20 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 21 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 22 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 23 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 24 -4.434061e+00 -34.050393161 -0.5725441 -0.68128599 15.68506709
## 25 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 26 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 27 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 28 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 29 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 30 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 31 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 32 6.910487e+00 11.820214904 -2.9426745 -0.34237872 58.53756838
## 33 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 34 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 35 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 36 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 37 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 38 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 39 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 40 -4.425422e+00 -11.329149130 -61.2396469 -0.67849744 -8.63174971
## 41 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 42 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 43 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 44 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 45 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 46 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 47 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 48 4.690651e+00 -0.408095450 4.0766678 -0.07470161 -2.43091515
## 49 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 50 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 51 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 52 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 53 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 54 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 55 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 56 -4.438168e+00 14.338978479 0.3495808 1.11438907 -5.88511516
## 57 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 58 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 59 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 60 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 61 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 62 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 63 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 64 1.568873e+00 -2.543153102 20.8221432 3.15991575 -11.42803779
## 65 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 66 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 67 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 68 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 69 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 70 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 71 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 72 -4.259035e-01 -9.636012407 4.5316123 3.42011187 -15.19715158
## 73 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 74 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 75 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 76 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 77 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 78 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 79 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 80 1.398710e+00 -8.971864393 37.6131557 -0.90243865 -11.75648829
## 81 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 82 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 83 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 84 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 85 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 86 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 87 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 88 -1.296627e+00 -5.837319462 18.7886143 -1.70033318 -10.87339086
## 89 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 90 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 91 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 92 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 93 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 94 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 95 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 96 -1.472988e+00 -18.039698550 3.0883843 0.74292435 -5.70786479
## 97 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 98 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 99 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 100 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 101 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 102 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 103 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 104 5.294020e+00 6.181767337 -15.6703143 5.23909454 12.24476502
## 105 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 106 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 107 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 108 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 109 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 110 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 111 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 112 -6.718711e-01 0.991275969 -10.0672103 -3.39688090 -1.81263713
## 113 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 114 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 115 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 116 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 117 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 118 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 119 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 120 -5.991573e+00 -3.540254293 4.0674587 0.39892278 -3.50418706
## 121 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 122 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 123 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 124 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 125 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 126 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 127 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 128 4.190812e+00 10.078342557 15.1695877 3.59099313 -3.86907098
## 129 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 130 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 131 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 132 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 133 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 134 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 135 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 136 -1.472359e+00 -2.700931277 0.4902856 0.08381220 5.13737228
## 137 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 138 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 139 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 140 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 141 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 142 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 143 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 144 -1.724515e+01 8.788301265 -2.5668156 -0.23657304 -1.67817053
## 145 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 146 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 147 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 148 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 149 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 150 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 151 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 152 -1.856322e+00 -5.517638251 -34.2282338 -0.19510082 -22.80837706
## 153 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 154 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 155 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 156 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 157 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 158 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 159 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 160 1.630523e+01 3.901491821 4.1371347 0.26808114 -2.76708734
## 161 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 162 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 163 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 164 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 165 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 166 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 167 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 168 5.024137e+00 9.713435833 34.5616395 -2.82091000 5.25558525
## 169 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 170 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 171 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 172 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 173 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 174 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 175 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 176 5.078458e+00 5.055722738 0.4505914 -32.82983974 -2.53909457
## 177 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 178 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 179 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 180 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 181 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 182 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 183 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 184 6.083464e+00 6.157599547 2.9217654 -0.61796018 7.28475384
## 185 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 186 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 187 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 188 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 189 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 190 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 191 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 192 2.467150e+01 -13.081984586 3.0401042 0.28329110 -2.50086980
## 193 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 194 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 195 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 196 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 197 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 198 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 199 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 200 4.878930e-02 -1.423952686 -23.5262671 5.66941224 16.63349875
## 201 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 202 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 203 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 204 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 205 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 206 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 207 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 208 1.843736e-01 5.153899929 -0.7358447 -1.33871842 0.13801727
## 209 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 210 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 211 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 212 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 213 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 214 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 215 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 216 -7.420833e+00 4.230510006 -4.9703356 0.86086854 -1.46951920
## 217 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 218 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 219 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 220 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 221 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 222 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 223 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 224 -2.226773e+01 2.026314616 1.4023914 0.23681208 -0.88977644
## 225 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 226 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 227 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 228 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 229 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 230 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 231 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 232 1.040886e+00 0.751633375 0.2848008 5.61201134 0.35645078
## 233 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 234 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 235 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 236 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 237 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 238 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 239 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 240 -9.879233e-01 -31.128946931 3.6731995 1.24676687 -0.77979626
## 241 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 242 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 243 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 244 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 245 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 246 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 247 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 248 3.940943e+00 5.196264993 37.4537484 -1.71404180 1.35248101
## 249 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 250 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 251 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 252 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 253 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 254 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 255 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 256 -2.954943e+00 -0.868429347 -14.1823946 1.17929119 -6.66669697
## 257 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 258 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 259 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 260 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 261 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 262 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 263 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 264 1.705935e+00 6.577447289 -5.4371523 3.12071556 -6.28138925
## 265 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 266 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 267 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 268 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 269 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 270 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 271 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 272 3.241274e+00 -6.563090752 13.9891612 -1.83698842 37.71796016
## 273 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 274 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 275 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 276 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 277 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 278 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 279 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 280 2.555833e-01 23.413636298 2.1562568 0.90621476 22.20673521
## 281 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 282 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 283 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 284 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 285 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 286 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 287 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 288 4.642632e+00 23.253539210 -3.5110637 -1.62477351 -4.08295361
## 289 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 290 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 291 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 292 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 293 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 294 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 295 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 296 8.726141e+00 19.077804718 -1.3828562 3.22626489 19.75270773
## 297 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 298 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 299 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 300 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 301 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 302 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 303 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 304 5.113080e+00 10.467328917 7.8767186 -4.66328569 0.49216390
## 305 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 306 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 307 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 308 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 309 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 310 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 311 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 312 2.962380e+00 2.195559852 -1.6151380 0.20951377 -4.18193565
## 313 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 314 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 315 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 316 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 317 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 318 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 319 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 320 6.428773e+00 13.347562617 -2.1311178 1.58000747 8.45580305
## 321 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 322 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 323 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 324 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 325 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 326 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 327 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 328 6.864421e+00 36.305301816 -11.6427547 -4.09563770 -10.34182629
## 329 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 330 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 331 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 332 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 333 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 334 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 335 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 336 4.231525e+00 14.734289563 -7.5888886 4.38235220 -7.83049048
## 337 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 338 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 339 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 340 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 341 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 342 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 343 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 344 3.031899e+00 -53.524458194 1.6055585 0.04680508 -13.86139213
## 345 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 346 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 347 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 348 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 349 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 350 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 351 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 352 3.274135e+00 -38.095038495 -4.2879673 0.24396683 13.75338281
## 353 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 354 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 355 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 356 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 357 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 358 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 359 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 360 -2.507627e+00 -6.204394952 16.8327337 3.36011529 15.03169112
## 361 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 362 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 363 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 364 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 365 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 366 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 367 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 368 -1.220834e+00 2.802058975 -2.5359722 -0.49690851 1.37192576
## 369 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 370 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 371 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 372 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 373 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 374 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 375 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 376 3.078770e+00 -0.751495361 -25.1346696 -2.60332306 6.27810843
## 377 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 378 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 379 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 380 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 381 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 382 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 383 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 384 1.431998e+00 0.252754189 25.3762116 -0.90172057 -6.07396520
## 385 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 386 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 387 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 388 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 389 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 390 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 391 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 392 2.507726e+00 2.381885884 0.1576125 13.49978258 -4.86752647
## 393 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 394 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 395 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 396 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 397 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 398 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 399 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 400 6.021204e-03 -1.668246943 0.7509603 -88.15360852 -2.68465303
## 401 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 402 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 403 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 404 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 405 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 406 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 407 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 408 3.207273e+00 25.115244661 -0.1954444 4.24226316 -6.31164531
## 409 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 410 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 411 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 412 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 413 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 414 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 415 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 416 1.670000e-01 -0.098582692 0.2841892 2.07010444 -23.57538843
## 417 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 418 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 419 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 420 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 421 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 422 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 423 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 424 4.728891e+00 -0.785690030 4.7654740 9.64512416 3.82635206
## 425 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 426 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 427 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 428 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 429 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 430 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 431 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 432 -7.207341e+00 -3.397881826 1.6091571 -1.18810463 -2.45284410
## 433 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 434 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 435 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 436 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 437 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 438 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 439 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 440 2.602533e+00 4.673941422 -2.1454388 -0.48440366 15.25001423
## 441 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 442 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 443 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 444 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 445 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 446 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 447 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 448 -9.521527e+00 8.412414820 -4.1441921 1.17660963 -2.47861412
## 449 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 450 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 451 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 452 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 453 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 454 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 455 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 456 3.062852e-01 -5.511876893 -14.8993984 1.23556954 -3.96411902
## 457 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 458 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 459 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 460 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 461 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 462 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 463 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 464 1.797264e+00 6.846445863 32.5261954 1.62600981 -24.59703676
## 465 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 466 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 467 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 468 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 469 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 470 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 471 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 472 1.034344e+00 8.748495611 -2.7692167 3.69451522 -65.58052468
## 473 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 474 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 475 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 476 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 477 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 478 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 479 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 480 -9.173690e+00 -8.634156032 -6.9319327 1.54656361 1.11743854
## 481 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 482 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 483 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 484 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 485 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 486 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 487 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 488 1.202791e+01 -14.601639493 1.8430611 -0.67083884 -5.47329395
## 489 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 490 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 491 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 492 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 493 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 494 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 495 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 496 6.639076e+00 -5.027474079 -6.1392254 -1.52191603 5.41169874
## 497 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 498 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 499 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 500 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 501 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 502 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 503 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 504 3.447169e+00 9.621144264 1.9298873 -2.35253370 -6.87602135
## 505 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 506 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 507 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 508 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 509 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 510 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 511 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 512 1.353293e+01 -10.158214814 -5.8507953 0.48934737 2.31632777
## 513 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 514 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 515 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 516 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 517 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 518 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 519 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 520 4.911139e+00 -61.638483644 -10.7210845 2.89952391 6.26336728
## 521 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 522 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 523 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 524 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 525 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 526 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 527 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 528 -2.068843e+00 -2.046784214 21.9761781 5.25154032 -4.31988528
## 529 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 530 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 531 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 532 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 533 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 534 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 535 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 536 -1.522411e-01 -36.020137901 12.8234137 -1.46354742 -6.22637132
## 537 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 538 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 539 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 540 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 541 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 542 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 543 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 544 2.540960e+00 -4.624183084 2.9245669 4.58684672 -14.55073878
## 545 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 546 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 547 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 548 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 549 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 550 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 551 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 552 8.445529e-01 -1.382892249 -8.0097938 13.67245973 3.27228163
## 553 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 554 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 555 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 556 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 557 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 558 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 559 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 560 1.563106e+00 -4.056176252 -8.5277964 -3.91427535 9.32363365
## 561 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 562 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 563 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 564 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 565 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 566 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 567 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 568 3.918103e+00 2.328936761 -15.2020330 -2.28263530 -6.77783596
## 569 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 570 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 571 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 572 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 573 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 574 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 575 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 576 4.343714e+00 2.112136461 -1.7868237 -29.02820744 -3.57916748
## 577 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 578 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 579 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 580 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 581 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 582 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 583 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 584 2.305074e+00 0.597770433 -9.7216837 3.53317720 -3.93045455
## 585 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 586 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 587 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 588 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 589 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 590 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 591 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 592 -3.275771e-01 3.119197374 -0.4853844 -0.21412841 5.21729077
## 593 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 594 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 595 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 596 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 597 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 598 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 599 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 600 6.470965e+00 -3.719984771 3.3327430 -1.34724758 1.72360707
## 601 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 602 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 603 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 604 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 605 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 606 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 607 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 608 3.139548e+00 0.829649440 5.9781843 -2.43418671 0.53273993
## 609 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 610 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 611 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 612 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 613 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 614 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 615 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 616 5.076352e+00 4.395229246 -12.7067374 2.02467182 -1.85102889
## 617 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 618 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 619 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 620 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 621 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 622 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 623 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 624 5.202360e+00 2.121702142 -3.8263963 2.79616930 -2.64828117
## 625 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 626 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 627 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 628 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 629 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 630 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 631 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 632 2.933321e+00 -6.686514990 3.5678810 -3.56393397 29.65368674
## 633 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 634 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 635 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 636 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 637 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 638 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 639 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 640 -3.876432e-02 -9.600200444 4.7455062 -0.29174783 2.37997417
## 641 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 642 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 643 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 644 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 645 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 646 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 647 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 648 4.917566e+00 -4.121481041 -1.8311532 0.83129970 3.84390586
## 649 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 650 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 651 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 652 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 653 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 654 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 655 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 656 3.917626e+00 11.855415578 0.9380972 4.76236355 -8.00215966
## 657 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 658 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 659 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 660 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 661 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 662 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 663 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 664 7.798113e+00 0.034492209 10.7547663 2.84105278 -15.62356115
## 665 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 666 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 667 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 668 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 669 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 670 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 671 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 672 5.300195e+00 -6.208383590 -2.6832141 0.21959491 -4.25476158
## 673 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 674 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 675 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 676 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 677 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 678 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 679 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 680 2.668958e+00 4.608872998 1.1505380 2.97007337 -3.99485657
## 681 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 682 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 683 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 684 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 685 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 686 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 687 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 688 -4.295570e+00 31.315660096 -3.2255340 -0.51245915 -2.50688288
## 689 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 690 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 691 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 692 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 693 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 694 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 695 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 696 2.452476e+00 0.998797664 0.2482272 3.21354666 -0.50215706
## 697 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 698 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 699 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 700 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 701 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 702 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 703 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 704 -5.150908e+00 -0.786302870 -7.4213071 0.45989170 -14.58673211
## 705 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 706 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 707 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 708 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 709 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 710 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 711 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 712 4.188016e+00 4.022965091 -2.2151198 2.19631902 -1.25466182
## 713 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 714 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 715 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 716 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 717 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 718 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 719 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 720 2.004379e+00 3.872002649 -1.8219682 4.42910113 4.82274745
## 721 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 722 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 723 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 724 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 725 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 726 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 727 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 728 2.636949e+00 12.277368616 7.8979674 -2.84341421 0.21642436
## 729 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 730 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 731 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 732 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 733 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 734 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 735 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 736 1.697736e+00 6.652714960 -1.5693948 -0.82852178 -3.06958489
## 737 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 738 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 739 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 740 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 741 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 742 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 743 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 744 -7.215913e-01 2.754773117 -12.8921085 -8.85156749 -5.71058454
## 745 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 746 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 747 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 748 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 749 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 750 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 751 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 752 -1.102921e+00 -1.886921620 -1.6361484 -8.12640200 -2.96794777
## 753 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 754 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 755 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 756 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 757 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 758 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 759 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 760 -1.570731e+00 -4.994095092 -8.4118138 0.26966700 -6.56066010
## 761 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 762 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 763 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 764 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 765 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 766 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 767 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 768 4.475686e+00 0.002267393 -30.7319544 2.16656623 0.06815494
## 769 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 770 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 771 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 772 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 773 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 774 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 775 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 776 2.372561e+00 0.174826439 -7.0205245 0.86679735 -0.34727448
## 777 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 778 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 779 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 780 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 781 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 782 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 783 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 784 -1.931732e+00 7.266749163 -4.7922987 0.08920055 46.73802451
## 785 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 786 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 787 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 788 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 789 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 790 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 791 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 792 1.960414e+00 -5.481145276 2.4521463 -1.47097066 -4.25070260
## 793 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 794 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 795 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 796 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 797 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 798 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 799 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 800 -1.401672e-01 28.299819265 7.0600082 1.45302932 1.69612159
## 801 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 802 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 803 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 804 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 805 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 806 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 807 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 808 -6.758718e-02 2.203585037 -3.3126457 -2.03898554 2.86920266
## 809 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 810 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 811 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 812 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 813 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 814 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 815 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 816 -2.574254e+00 0.115378191 3.9456609 3.07474170 4.01243713
## 817 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 818 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 819 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 820 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 821 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 822 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 823 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 824 2.254349e+00 0.298941052 0.2823851 38.45246463 -0.91265946
## 825 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 826 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 827 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 828 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 829 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 830 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 831 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 832 3.532693e-01 18.095786825 1.1962868 -1.36919317 1.25246588
## 833 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 834 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 835 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 836 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 837 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 838 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 839 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 840 4.974886e+00 9.711210451 -0.6638247 -4.77401196 -0.18057542
## 841 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 842 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 843 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 844 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 845 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 846 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 847 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 848 -2.330523e+00 -3.646099928 13.5257947 -1.33293366 19.39360431
## 849 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 850 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 851 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 852 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 853 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 854 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 855 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 856 3.890602e+00 -28.466417270 3.1140300 0.28194897 1.91918949
## 857 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 858 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 859 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 860 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 861 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 862 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 863 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 864 6.069366e-01 22.389561259 -7.7779322 -1.57799088 -2.13162688
## 865 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 866 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 867 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 868 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 869 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 870 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 871 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 872 -1.656518e+02 -0.243198348 3.7150890 0.55755432 2.85937818
## 873 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 874 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 875 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 876 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 877 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 878 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 879 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 880 3.115846e+00 -0.978007884 5.5587436 -1.75097752 2.11754643
## 881 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 882 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 883 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 884 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 885 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 886 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 887 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 888 2.552198e+00 3.011703174 5.7886360 39.94212846 2.36508976
## 889 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 890 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 891 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 892 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 893 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 894 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 895 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 896 3.530394e+00 5.147268952 -0.4270505 1.75561025 8.45445575
## 897 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 898 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 899 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 900 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 901 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 902 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 903 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 904 -1.124955e+01 -4.175079738 -1.7536124 -3.31377486 2.37133879
## 905 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 906 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 907 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 908 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 909 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 910 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 911 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 912 4.589566e-01 -8.671753507 27.3785079 -2.12988083 4.95210473
## 913 -7.449446e+01 5.160418302 1.9107921 0.67150275 2.93959779
## 914 -7.449446e+01 5.160418302 1.9107921 0.67150275 2.93959779
## 915 -7.449446e+01 5.160418302 1.9107921 0.67150275 2.93959779
## 916 -7.449446e+01 5.160418302 1.9107921 0.67150275 2.93959779
## 917 -7.449446e+01 5.160418302 1.9107921 0.67150275 2.93959779
## 918 4.686406e+00 0.399567783 0.1777268 13.09308517 -1.35605314
## 919 4.686406e+00 0.399567783 0.1777268 13.09308517 -1.35605314
## 920 4.686406e+00 0.399567783 0.1777268 13.09308517 -1.35605314
## 921 4.686406e+00 0.399567783 0.1777268 13.09308517 -1.35605314
## 922 4.686406e+00 0.399567783 0.1777268 13.09308517 -1.35605314
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 1.107025e+00 2.079798439 7.1772287 0.46747849 10.92990325
## 939 1.107025e+00 2.079798439 7.1772287 0.46747849 10.92990325
## 940 1.107025e+00 2.079798439 7.1772287 0.46747849 10.92990325
## 941 1.107025e+00 2.079798439 7.1772287 0.46747849 10.92990325
## 942 1.107025e+00 2.079798439 7.1772287 0.46747849 10.92990325
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 9.554202e+00 -5.533918994 6.5380428 0.61764400 -10.59605892
## 954 9.554202e+00 -5.533918994 6.5380428 0.61764400 -10.59605892
## 955 9.554202e+00 -5.533918994 6.5380428 0.61764400 -10.59605892
## 956 9.554202e+00 -5.533918994 6.5380428 0.61764400 -10.59605892
## 957 9.554202e+00 -5.533918994 6.5380428 0.61764400 -10.59605892
## 958 2.698285e+00 2.499815735 0.5138341 -97.59618170 -2.01503863
## 959 2.698285e+00 2.499815735 0.5138341 -97.59618170 -2.01503863
## 960 2.698285e+00 2.499815735 0.5138341 -97.59618170 -2.01503863
## 961 2.698285e+00 2.499815735 0.5138341 -97.59618170 -2.01503863
## 962 2.698285e+00 2.499815735 0.5138341 -97.59618170 -2.01503863
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 2.638214e+01 4.979486913 10.3509727 -0.38019304 -4.32785980
## 974 2.638214e+01 4.979486913 10.3509727 -0.38019304 -4.32785980
## 975 2.638214e+01 4.979486913 10.3509727 -0.38019304 -4.32785980
## 976 2.638214e+01 4.979486913 10.3509727 -0.38019304 -4.32785980
## 977 2.638214e+01 4.979486913 10.3509727 -0.38019304 -4.32785980
## 978 8.145007e+00 8.217688975 0.7490669 -1.33575619 -7.05646040
## 979 8.145007e+00 8.217688975 0.7490669 -1.33575619 -7.05646040
## 980 8.145007e+00 8.217688975 0.7490669 -1.33575619 -7.05646040
## 981 8.145007e+00 8.217688975 0.7490669 -1.33575619 -7.05646040
## 982 8.145007e+00 8.217688975 0.7490669 -1.33575619 -7.05646040
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 2.387886e+01 -1.745105794 4.7673608 -1.22647676 2.23492145
## 994 2.387886e+01 -1.745105794 4.7673608 -1.22647676 2.23492145
## 995 2.387886e+01 -1.745105794 4.7673608 -1.22647676 2.23492145
## 996 2.387886e+01 -1.745105794 4.7673608 -1.22647676 2.23492145
## 997 2.387886e+01 -1.745105794 4.7673608 -1.22647676 2.23492145
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 1.112992e+01 17.960728880 6.3295308 7.13558915 -4.38020710
## 1009 1.112992e+01 17.960728880 6.3295308 7.13558915 -4.38020710
## 1010 1.112992e+01 17.960728880 6.3295308 7.13558915 -4.38020710
## 1011 1.112992e+01 17.960728880 6.3295308 7.13558915 -4.38020710
## 1012 1.112992e+01 17.960728880 6.3295308 7.13558915 -4.38020710
## 1013 3.061950e+01 4.738589895 2.9131390 1.05282104 -2.49621843
## 1014 3.061950e+01 4.738589895 2.9131390 1.05282104 -2.49621843
## 1015 3.061950e+01 4.738589895 2.9131390 1.05282104 -2.49621843
## 1016 3.061950e+01 4.738589895 2.9131390 1.05282104 -2.49621843
## 1017 3.061950e+01 4.738589895 2.9131390 1.05282104 -2.49621843
## 1018 9.943656e+00 -6.319282750 7.4759726 -0.43926019 4.62320108
## 1019 9.943656e+00 -6.319282750 7.4759726 -0.43926019 4.62320108
## 1020 9.943656e+00 -6.319282750 7.4759726 -0.43926019 4.62320108
## 1021 9.943656e+00 -6.319282750 7.4759726 -0.43926019 4.62320108
## 1022 9.943656e+00 -6.319282750 7.4759726 -0.43926019 4.62320108
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 8.519275e+00 -1.873142596 -18.4441463 0.90039486 -6.22076552
## 1034 8.519275e+00 -1.873142596 -18.4441463 0.90039486 -6.22076552
## 1035 8.519275e+00 -1.873142596 -18.4441463 0.90039486 -6.22076552
## 1036 8.519275e+00 -1.873142596 -18.4441463 0.90039486 -6.22076552
## 1037 8.519275e+00 -1.873142596 -18.4441463 0.90039486 -6.22076552
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 1.911187e+01 -17.394243989 -1.5639550 2.80843825 -6.10704425
## 1069 1.911187e+01 -17.394243989 -1.5639550 2.80843825 -6.10704425
## 1070 1.911187e+01 -17.394243989 -1.5639550 2.80843825 -6.10704425
## 1071 1.911187e+01 -17.394243989 -1.5639550 2.80843825 -6.10704425
## 1072 1.911187e+01 -17.394243989 -1.5639550 2.80843825 -6.10704425
## 1073 1.177558e+01 23.083429466 3.2095571 1.11927310 24.03571467
## 1074 1.177558e+01 23.083429466 3.2095571 1.11927310 24.03571467
## 1075 1.177558e+01 23.083429466 3.2095571 1.11927310 24.03571467
## 1076 1.177558e+01 23.083429466 3.2095571 1.11927310 24.03571467
## 1077 1.177558e+01 23.083429466 3.2095571 1.11927310 24.03571467
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 5.042677e+00 1.988580155 3.8874185 0.32103125 -80.74828761
## 1084 5.042677e+00 1.988580155 3.8874185 0.32103125 -80.74828761
## 1085 5.042677e+00 1.988580155 3.8874185 0.32103125 -80.74828761
## 1086 5.042677e+00 1.988580155 3.8874185 0.32103125 -80.74828761
## 1087 5.042677e+00 1.988580155 3.8874185 0.32103125 -80.74828761
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 8.913680e+00 2.802373275 -18.2303909 5.62516041 -10.09532711
## 1094 8.913680e+00 2.802373275 -18.2303909 5.62516041 -10.09532711
## 1095 8.913680e+00 2.802373275 -18.2303909 5.62516041 -10.09532711
## 1096 8.913680e+00 2.802373275 -18.2303909 5.62516041 -10.09532711
## 1097 8.913680e+00 2.802373275 -18.2303909 5.62516041 -10.09532711
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 7.539457e+00 0.022097892 1.5245844 0.08972360 -3.82142843
## 1104 7.539457e+00 0.022097892 1.5245844 0.08972360 -3.82142843
## 1105 7.539457e+00 0.022097892 1.5245844 0.08972360 -3.82142843
## 1106 7.539457e+00 0.022097892 1.5245844 0.08972360 -3.82142843
## 1107 7.539457e+00 0.022097892 1.5245844 0.08972360 -3.82142843
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 1.361364e+01 2.333476531 -27.0467364 5.61008146 18.84871066
## 1114 1.361364e+01 2.333476531 -27.0467364 5.61008146 18.84871066
## 1115 1.361364e+01 2.333476531 -27.0467364 5.61008146 18.84871066
## 1116 1.361364e+01 2.333476531 -27.0467364 5.61008146 18.84871066
## 1117 1.361364e+01 2.333476531 -27.0467364 5.61008146 18.84871066
## 1118 1.875244e+01 -5.136617058 -29.1468845 -0.36997139 18.53953803
## 1119 1.875244e+01 -5.136617058 -29.1468845 -0.36997139 18.53953803
## 1120 1.875244e+01 -5.136617058 -29.1468845 -0.36997139 18.53953803
## 1121 1.875244e+01 -5.136617058 -29.1468845 -0.36997139 18.53953803
## 1122 1.875244e+01 -5.136617058 -29.1468845 -0.36997139 18.53953803
## 1123 7.077119e+00 -5.107692981 -82.4183330 1.57822408 -6.41740231
## 1124 7.077119e+00 -5.107692981 -82.4183330 1.57822408 -6.41740231
## 1125 7.077119e+00 -5.107692981 -82.4183330 1.57822408 -6.41740231
## 1126 7.077119e+00 -5.107692981 -82.4183330 1.57822408 -6.41740231
## 1127 7.077119e+00 -5.107692981 -82.4183330 1.57822408 -6.41740231
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 1.898667e+01 -6.796504922 12.0212320 2.63567047 5.01472432
## 1134 1.898667e+01 -6.796504922 12.0212320 2.63567047 5.01472432
## 1135 1.898667e+01 -6.796504922 12.0212320 2.63567047 5.01472432
## 1136 1.898667e+01 -6.796504922 12.0212320 2.63567047 5.01472432
## 1137 1.898667e+01 -6.796504922 12.0212320 2.63567047 5.01472432
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 3.175014e+01 -25.040994528 11.3452216 0.63697597 4.62125081
## 1144 3.175014e+01 -25.040994528 11.3452216 0.63697597 4.62125081
## 1145 3.175014e+01 -25.040994528 11.3452216 0.63697597 4.62125081
## 1146 3.175014e+01 -25.040994528 11.3452216 0.63697597 4.62125081
## 1147 3.175014e+01 -25.040994528 11.3452216 0.63697597 4.62125081
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 7.808578e+00 -3.340598438 15.0364905 0.72743691 9.49309911
## 1154 7.808578e+00 -3.340598438 15.0364905 0.72743691 9.49309911
## 1155 7.808578e+00 -3.340598438 15.0364905 0.72743691 9.49309911
## 1156 7.808578e+00 -3.340598438 15.0364905 0.72743691 9.49309911
## 1157 7.808578e+00 -3.340598438 15.0364905 0.72743691 9.49309911
## 1158 1.019795e+01 8.957761070 22.2010160 2.36109361 -27.33889887
## 1159 1.019795e+01 8.957761070 22.2010160 2.36109361 -27.33889887
## 1160 1.019795e+01 8.957761070 22.2010160 2.36109361 -27.33889887
## 1161 1.019795e+01 8.957761070 22.2010160 2.36109361 -27.33889887
## 1162 1.019795e+01 8.957761070 22.2010160 2.36109361 -27.33889887
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 1.594728e+01 2.126621525 -30.3246226 -4.85105002 24.51604708
## 1189 1.594728e+01 2.126621525 -30.3246226 -4.85105002 24.51604708
## 1190 1.594728e+01 2.126621525 -30.3246226 -4.85105002 24.51604708
## 1191 1.594728e+01 2.126621525 -30.3246226 -4.85105002 24.51604708
## 1192 1.594728e+01 2.126621525 -30.3246226 -4.85105002 24.51604708
## 1193 1.770695e+01 -6.900840483 8.1085740 1.72910052 21.18659472
## 1194 1.770695e+01 -6.900840483 8.1085740 1.72910052 21.18659472
## 1195 1.770695e+01 -6.900840483 8.1085740 1.72910052 21.18659472
## 1196 1.770695e+01 -6.900840483 8.1085740 1.72910052 21.18659472
## 1197 1.770695e+01 -6.900840483 8.1085740 1.72910052 21.18659472
## 1198 1.453863e+01 -0.962017108 10.4375834 4.74390027 53.96518337
## 1199 1.453863e+01 -0.962017108 10.4375834 4.74390027 53.96518337
## 1200 1.453863e+01 -0.962017108 10.4375834 4.74390027 53.96518337
## 1201 1.453863e+01 -0.962017108 10.4375834 4.74390027 53.96518337
## 1202 1.453863e+01 -0.962017108 10.4375834 4.74390027 53.96518337
## 1203 8.061323e+00 -6.122458652 4.1813509 0.10405813 -0.65557250
## 1204 8.061323e+00 -6.122458652 4.1813509 0.10405813 -0.65557250
## 1205 8.061323e+00 -6.122458652 4.1813509 0.10405813 -0.65557250
## 1206 8.061323e+00 -6.122458652 4.1813509 0.10405813 -0.65557250
## 1207 8.061323e+00 -6.122458652 4.1813509 0.10405813 -0.65557250
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 7.060671e+00 -7.179313342 -23.6488506 -0.12583025 -30.32723385
## 1214 7.060671e+00 -7.179313342 -23.6488506 -0.12583025 -30.32723385
## 1215 7.060671e+00 -7.179313342 -23.6488506 -0.12583025 -30.32723385
## 1216 7.060671e+00 -7.179313342 -23.6488506 -0.12583025 -30.32723385
## 1217 7.060671e+00 -7.179313342 -23.6488506 -0.12583025 -30.32723385
## 1218 -1.994351e-01 -3.301608854 -33.2887638 -1.72706577 17.81158678
## 1219 -1.994351e-01 -3.301608854 -33.2887638 -1.72706577 17.81158678
## 1220 -1.994351e-01 -3.301608854 -33.2887638 -1.72706577 17.81158678
## 1221 -1.994351e-01 -3.301608854 -33.2887638 -1.72706577 17.81158678
## 1222 -1.994351e-01 -3.301608854 -33.2887638 -1.72706577 17.81158678
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 1.516139e+01 -30.445741226 -16.9847218 0.28996631 -10.57760705
## 1239 1.516139e+01 -30.445741226 -16.9847218 0.28996631 -10.57760705
## 1240 1.516139e+01 -30.445741226 -16.9847218 0.28996631 -10.57760705
## 1241 1.516139e+01 -30.445741226 -16.9847218 0.28996631 -10.57760705
## 1242 1.516139e+01 -30.445741226 -16.9847218 0.28996631 -10.57760705
## 1243 2.993269e+01 -2.509039195 -4.6869339 1.09777177 -2.10149725
## 1244 2.993269e+01 -2.509039195 -4.6869339 1.09777177 -2.10149725
## 1245 2.993269e+01 -2.509039195 -4.6869339 1.09777177 -2.10149725
## 1246 2.993269e+01 -2.509039195 -4.6869339 1.09777177 -2.10149725
## 1247 2.993269e+01 -2.509039195 -4.6869339 1.09777177 -2.10149725
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 1.425435e+01 3.084376213 12.2133377 0.48287983 2.39208455
## 1264 1.425435e+01 3.084376213 12.2133377 0.48287983 2.39208455
## 1265 1.425435e+01 3.084376213 12.2133377 0.48287983 2.39208455
## 1266 1.425435e+01 3.084376213 12.2133377 0.48287983 2.39208455
## 1267 1.425435e+01 3.084376213 12.2133377 0.48287983 2.39208455
## 1268 1.211245e+00 3.459567575 -3.3784499 3.12181832 0.33995162
## 1269 1.211245e+00 3.459567575 -3.3784499 3.12181832 0.33995162
## 1270 1.211245e+00 3.459567575 -3.3784499 3.12181832 0.33995162
## 1271 1.211245e+00 3.459567575 -3.3784499 3.12181832 0.33995162
## 1272 1.211245e+00 3.459567575 -3.3784499 3.12181832 0.33995162
## 1273 3.068960e+01 5.255389541 1.9429521 -1.68945780 -1.74857786
## 1274 3.068960e+01 5.255389541 1.9429521 -1.68945780 -1.74857786
## 1275 3.068960e+01 5.255389541 1.9429521 -1.68945780 -1.74857786
## 1276 3.068960e+01 5.255389541 1.9429521 -1.68945780 -1.74857786
## 1277 3.068960e+01 5.255389541 1.9429521 -1.68945780 -1.74857786
## 1278 -1.927106e+00 2.864094422 5.8246707 7.05349836 5.53830703
## 1279 -1.927106e+00 2.864094422 5.8246707 7.05349836 5.53830703
## 1280 -1.927106e+00 2.864094422 5.8246707 7.05349836 5.53830703
## 1281 -1.927106e+00 2.864094422 5.8246707 7.05349836 5.53830703
## 1282 -1.927106e+00 2.864094422 5.8246707 7.05349836 5.53830703
## 1283 1.437487e+01 13.709646976 -2.8170134 0.93491604 -10.45924497
## 1284 1.437487e+01 13.709646976 -2.8170134 0.93491604 -10.45924497
## 1285 1.437487e+01 13.709646976 -2.8170134 0.93491604 -10.45924497
## 1286 1.437487e+01 13.709646976 -2.8170134 0.93491604 -10.45924497
## 1287 1.437487e+01 13.709646976 -2.8170134 0.93491604 -10.45924497
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 2.678622e+00 2.579885139 3.7746005 -13.47384770 7.27387803
## 1299 2.678622e+00 2.579885139 3.7746005 -13.47384770 7.27387803
## 1300 2.678622e+00 2.579885139 3.7746005 -13.47384770 7.27387803
## 1301 2.678622e+00 2.579885139 3.7746005 -13.47384770 7.27387803
## 1302 2.678622e+00 2.579885139 3.7746005 -13.47384770 7.27387803
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 1.793111e+01 12.092555656 0.7817143 0.24264245 2.89432605
## 1314 1.793111e+01 12.092555656 0.7817143 0.24264245 2.89432605
## 1315 1.793111e+01 12.092555656 0.7817143 0.24264245 2.89432605
## 1316 1.793111e+01 12.092555656 0.7817143 0.24264245 2.89432605
## 1317 1.793111e+01 12.092555656 0.7817143 0.24264245 2.89432605
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 2.594512e-01 -3.909175180 7.2761725 86.20358242 -3.23919293
## 1364 2.594512e-01 -3.909175180 7.2761725 86.20358242 -3.23919293
## 1365 2.594512e-01 -3.909175180 7.2761725 86.20358242 -3.23919293
## 1366 2.594512e-01 -3.909175180 7.2761725 86.20358242 -3.23919293
## 1367 2.594512e-01 -3.909175180 7.2761725 86.20358242 -3.23919293
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 3.323804e+00 -1.034959436 7.4386963 2.53370648 -3.71062325
## 1379 3.323804e+00 -1.034959436 7.4386963 2.53370648 -3.71062325
## 1380 3.323804e+00 -1.034959436 7.4386963 2.53370648 -3.71062325
## 1381 3.323804e+00 -1.034959436 7.4386963 2.53370648 -3.71062325
## 1382 3.323804e+00 -1.034959436 7.4386963 2.53370648 -3.71062325
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 4.404516e+00 -2.055650195 -5.0040847 -0.01571494 4.01755062
## 1389 4.404516e+00 -2.055650195 -5.0040847 -0.01571494 4.01755062
## 1390 4.404516e+00 -2.055650195 -5.0040847 -0.01571494 4.01755062
## 1391 4.404516e+00 -2.055650195 -5.0040847 -0.01571494 4.01755062
## 1392 4.404516e+00 -2.055650195 -5.0040847 -0.01571494 4.01755062
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 1.443004e+01 -6.810750489 38.5814181 1.01978299 8.70555125
## 1414 1.443004e+01 -6.810750489 38.5814181 1.01978299 8.70555125
## 1415 1.443004e+01 -6.810750489 38.5814181 1.01978299 8.70555125
## 1416 1.443004e+01 -6.810750489 38.5814181 1.01978299 8.70555125
## 1417 1.443004e+01 -6.810750489 38.5814181 1.01978299 8.70555125
## 1418 -2.389673e+00 0.561165057 2.6834355 7.12056664 -1.74125634
## 1419 -2.389673e+00 0.561165057 2.6834355 7.12056664 -1.74125634
## 1420 -2.389673e+00 0.561165057 2.6834355 7.12056664 -1.74125634
## 1421 -2.389673e+00 0.561165057 2.6834355 7.12056664 -1.74125634
## 1422 -2.389673e+00 0.561165057 2.6834355 7.12056664 -1.74125634
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -5.274973e-01 -0.429856664 15.2357653 -5.97347810 -7.86669633
## 1429 -5.274973e-01 -0.429856664 15.2357653 -5.97347810 -7.86669633
## 1430 -5.274973e-01 -0.429856664 15.2357653 -5.97347810 -7.86669633
## 1431 -5.274973e-01 -0.429856664 15.2357653 -5.97347810 -7.86669633
## 1432 -5.274973e-01 -0.429856664 15.2357653 -5.97347810 -7.86669633
## 1433 9.722233e+00 1.199808370 -16.5328636 0.95064481 -14.09393945
## 1434 9.722233e+00 1.199808370 -16.5328636 0.95064481 -14.09393945
## 1435 9.722233e+00 1.199808370 -16.5328636 0.95064481 -14.09393945
## 1436 9.722233e+00 1.199808370 -16.5328636 0.95064481 -14.09393945
## 1437 9.722233e+00 1.199808370 -16.5328636 0.95064481 -14.09393945
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 9.939070e+00 10.963516257 6.9872256 0.20518568 -21.90417203
## 1444 9.939070e+00 10.963516257 6.9872256 0.20518568 -21.90417203
## 1445 9.939070e+00 10.963516257 6.9872256 0.20518568 -21.90417203
## 1446 9.939070e+00 10.963516257 6.9872256 0.20518568 -21.90417203
## 1447 9.939070e+00 10.963516257 6.9872256 0.20518568 -21.90417203
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 3.971436e+00 -5.054261037 1.0489242 6.60561914 6.61301736
## 1464 3.971436e+00 -5.054261037 1.0489242 6.60561914 6.61301736
## 1465 3.971436e+00 -5.054261037 1.0489242 6.60561914 6.61301736
## 1466 3.971436e+00 -5.054261037 1.0489242 6.60561914 6.61301736
## 1467 3.971436e+00 -5.054261037 1.0489242 6.60561914 6.61301736
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 8.372624e+00 -2.495961311 9.1492364 -13.11970322 -2.24384269
## 1489 8.372624e+00 -2.495961311 9.1492364 -13.11970322 -2.24384269
## 1490 8.372624e+00 -2.495961311 9.1492364 -13.11970322 -2.24384269
## 1491 8.372624e+00 -2.495961311 9.1492364 -13.11970322 -2.24384269
## 1492 8.372624e+00 -2.495961311 9.1492364 -13.11970322 -2.24384269
## 1493 6.051062e+00 4.047731189 38.5453518 -1.06723694 -10.28523015
## 1494 6.051062e+00 4.047731189 38.5453518 -1.06723694 -10.28523015
## 1495 6.051062e+00 4.047731189 38.5453518 -1.06723694 -10.28523015
## 1496 6.051062e+00 4.047731189 38.5453518 -1.06723694 -10.28523015
## 1497 6.051062e+00 4.047731189 38.5453518 -1.06723694 -10.28523015
## 1498 3.146990e-01 5.087182448 4.9472556 -6.46966543 -7.41003999
## 1499 3.146990e-01 5.087182448 4.9472556 -6.46966543 -7.41003999
## 1500 3.146990e-01 5.087182448 4.9472556 -6.46966543 -7.41003999
## 1501 3.146990e-01 5.087182448 4.9472556 -6.46966543 -7.41003999
## 1502 3.146990e-01 5.087182448 4.9472556 -6.46966543 -7.41003999
## 1503 -2.015579e+00 -3.219247319 8.0242361 -2.12062029 -3.66880736
## 1504 -2.015579e+00 -3.219247319 8.0242361 -2.12062029 -3.66880736
## 1505 -2.015579e+00 -3.219247319 8.0242361 -2.12062029 -3.66880736
## 1506 -2.015579e+00 -3.219247319 8.0242361 -2.12062029 -3.66880736
## 1507 -2.015579e+00 -3.219247319 8.0242361 -2.12062029 -3.66880736
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 -2.295762e+00 -3.296965317 2.6419435 -27.49373356 0.05811418
## 1529 -2.295762e+00 -3.296965317 2.6419435 -27.49373356 0.05811418
## 1530 -2.295762e+00 -3.296965317 2.6419435 -27.49373356 0.05811418
## 1531 -2.295762e+00 -3.296965317 2.6419435 -27.49373356 0.05811418
## 1532 -2.295762e+00 -3.296965317 2.6419435 -27.49373356 0.05811418
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC50_score PC38_score PC72_score PC78_score PC48_score
## 1 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 2 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 3 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 4 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 5 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 6 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 7 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 8 -0.20387192 -2.91296701 -7.433586253 2.81489116 -7.40795133
## 9 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 10 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 11 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 12 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 13 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 14 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 15 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 16 -0.52747119 1.30927915 -0.690228342 4.03942978 -5.78605659
## 17 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 18 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 19 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 20 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 21 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 22 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 23 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 24 10.78712789 -3.12001230 -2.950412726 3.09083949 14.67304311
## 25 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 26 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 27 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 28 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 29 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 30 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 31 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 32 -39.99286769 6.19216214 0.063776555 2.00982653 -10.23329114
## 33 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 34 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 35 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 36 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 37 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 38 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 39 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 40 -12.45064234 -12.05110738 17.084628226 -20.88890118 14.10470894
## 41 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 42 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 43 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 44 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 45 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 46 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 47 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 48 -5.77061565 -0.30190418 -11.925581064 -11.50821175 -1.94144247
## 49 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 50 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 51 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 52 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 53 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 54 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 55 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 56 11.75612497 14.80212864 2.348289882 6.09287605 12.08911127
## 57 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 58 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 59 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 60 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 61 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 62 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 63 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 64 -3.08081007 -27.99152721 0.951558475 1.91399623 -2.95831855
## 65 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 66 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 67 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 68 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 69 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 70 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 71 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 72 23.49916457 -5.88588262 6.649155013 9.33007829 -31.46813866
## 73 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 74 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 75 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 76 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 77 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 78 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 79 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 80 -18.07272729 -17.60207507 -6.110241508 -16.37871102 -26.12112043
## 81 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 82 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 83 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 84 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 85 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 86 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 87 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 88 -5.20058311 -5.62256905 36.650981862 -8.40723297 -3.69726284
## 89 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 90 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 91 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 92 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 93 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 94 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 95 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 96 11.11042989 -15.12227496 0.220694279 8.05491071 5.19510095
## 97 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 98 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 99 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 100 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 101 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 102 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 103 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 104 24.58656078 -17.56825813 2.018074276 2.06260684 3.63093740
## 105 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 106 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 107 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 108 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 109 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 110 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 111 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 112 -8.20492979 -0.02335653 -8.705776063 9.73149413 -0.05743760
## 113 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 114 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 115 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 116 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 117 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 118 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 119 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 120 2.56293480 2.94857372 -2.045995720 -0.76128048 -2.40877503
## 121 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 122 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 123 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 124 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 125 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 126 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 127 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 128 9.30657972 -20.31894811 -6.711625616 -7.33381511 28.93278302
## 129 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 130 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 131 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 132 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 133 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 134 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 135 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 136 1.56164657 -21.84861607 -4.150454930 9.93673629 2.76716481
## 137 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 138 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 139 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 140 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 141 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 142 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 143 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 144 1.05717165 6.37160035 0.177641727 -0.71562721 2.76198842
## 145 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 146 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 147 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 148 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 149 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 150 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 151 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 152 -21.21291300 7.27514272 9.556229286 -8.86503399 -7.28968322
## 153 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 154 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 155 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 156 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 157 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 158 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 159 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 160 -1.77738053 0.40165678 -1.874172704 -2.63767115 0.20886520
## 161 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 162 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 163 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 164 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 165 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 166 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 167 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 168 1.25055283 0.27680587 25.963655027 11.23460914 -16.45017015
## 169 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 170 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 171 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 172 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 173 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 174 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 175 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 176 2.34361906 0.61360573 -2.505083442 3.74003855 -6.44645629
## 177 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 178 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 179 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 180 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 181 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 182 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 183 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 184 2.08745327 5.03638983 3.743992252 7.41433994 1.46918952
## 185 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 186 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 187 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 188 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 189 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 190 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 191 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 192 5.05358690 -2.53470134 3.396752750 0.65547413 1.84125628
## 193 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 194 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 195 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 196 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 197 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 198 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 199 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 200 16.07069809 -4.67332303 -6.449671252 -20.60107731 -49.98811418
## 201 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 202 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 203 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 204 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 205 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 206 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 207 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 208 -18.63353709 16.26184763 -0.173001003 3.83124263 -5.05228617
## 209 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 210 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 211 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 212 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 213 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 214 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 215 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 216 -1.68319114 2.43817405 -2.776464107 -2.43800896 3.37668143
## 217 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 218 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 219 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 220 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 221 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 222 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 223 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 224 1.10066289 0.06677064 3.126881275 -0.22877663 -0.05562216
## 225 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 226 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 227 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 228 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 229 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 230 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 231 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 232 -3.63705224 1.48212127 -8.538156488 -5.06469957 3.95477205
## 233 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 234 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 235 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 236 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 237 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 238 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 239 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 240 -16.74394775 -12.26041203 -4.610327435 -5.23307537 1.12398437
## 241 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 242 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 243 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 244 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 245 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 246 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 247 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 248 -8.17220494 1.48025857 -2.094297629 -18.93533658 7.75646720
## 249 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 250 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 251 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 252 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 253 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 254 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 255 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 256 -19.74636801 -10.66569656 -34.231083922 3.71789980 7.72733597
## 257 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 258 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 259 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 260 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 261 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 262 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 263 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 264 -1.78490614 -3.53036943 -10.048657118 -1.97285478 -3.85369833
## 265 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 266 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 267 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 268 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 269 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 270 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 271 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 272 18.47759762 0.40530442 -7.687125946 -2.24074168 55.81195151
## 273 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 274 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 275 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 276 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 277 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 278 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 279 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 280 -17.60892386 4.24298877 -0.052938811 -4.07336043 3.30109266
## 281 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 282 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 283 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 284 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 285 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 286 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 287 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 288 24.08091420 8.16308287 7.860086919 -0.82076764 -27.92301620
## 289 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 290 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 291 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 292 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 293 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 294 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 295 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 296 1.40841152 -1.17878561 22.152381312 -14.39507125 1.83385360
## 297 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 298 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 299 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 300 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 301 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 302 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 303 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 304 -0.22526766 4.17071795 6.473757385 -13.51852644 -0.95676431
## 305 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 306 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 307 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 308 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 309 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 310 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 311 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 312 -6.47062137 6.33793809 -6.429875399 -0.52756026 -1.23249175
## 313 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 314 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 315 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 316 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 317 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 318 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 319 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 320 34.92590135 -7.99839772 0.217990774 -0.73419457 -41.37970437
## 321 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 322 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 323 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 324 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 325 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 326 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 327 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 328 3.46305793 1.88059422 -5.624490129 3.59454647 -11.19286991
## 329 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 330 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 331 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 332 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 333 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 334 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 335 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 336 7.47059002 0.41337138 2.781431727 -8.94162025 -12.18942105
## 337 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 338 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 339 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 340 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 341 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 342 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 343 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 344 -6.85371735 -19.09356480 -5.471416805 -0.66195181 -12.20896820
## 345 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 346 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 347 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 348 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 349 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 350 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 351 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 352 23.40334291 -12.66849479 1.205911259 -3.06344812 11.05028272
## 353 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 354 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 355 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 356 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 357 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 358 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 359 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 360 13.95347014 2.24734167 -15.412737346 26.95472976 3.25431353
## 361 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 362 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 363 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 364 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 365 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 366 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 367 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 368 1.16383902 -4.28783735 -3.262639156 1.85860136 1.03643004
## 369 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 370 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 371 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 372 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 373 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 374 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 375 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 376 9.51665141 7.72447057 11.201509199 -14.58888613 14.77814832
## 377 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 378 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 379 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 380 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 381 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 382 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 383 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 384 -6.52531342 1.54690194 -10.466491941 -36.66563042 -2.07997333
## 385 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 386 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 387 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 388 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 389 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 390 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 391 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 392 -1.39544686 5.46183537 -6.439568950 11.03249832 -0.57746699
## 393 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 394 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 395 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 396 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 397 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 398 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 399 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 400 3.02541199 2.07317577 7.972273951 8.91647814 -0.39507768
## 401 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 402 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 403 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 404 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 405 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 406 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 407 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 408 -17.67430317 -3.14092363 8.042378342 6.39562762 33.07933695
## 409 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 410 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 411 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 412 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 413 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 414 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 415 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 416 -58.77905718 12.36508490 -9.339522579 9.37463661 3.02416213
## 417 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 418 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 419 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 420 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 421 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 422 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 423 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 424 -9.51809766 4.13554406 9.024978864 18.79362998 -3.74619426
## 425 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 426 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 427 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 428 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 429 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 430 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 431 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 432 1.10874623 19.52593383 -12.251350792 -3.27302215 9.35307067
## 433 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 434 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 435 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 436 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 437 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 438 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 439 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 440 7.65153368 8.64389089 5.247302048 -18.00464513 -2.31043533
## 441 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 442 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 443 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 444 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 445 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 446 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 447 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 448 -1.98479874 -3.99137800 -2.070042746 -1.25816721 -5.65446189
## 449 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 450 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 451 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 452 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 453 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 454 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 455 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 456 2.40921667 8.11580002 3.126849694 -12.00770532 -1.45884277
## 457 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 458 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 459 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 460 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 461 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 462 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 463 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 464 -15.34930450 11.53620923 -8.384318774 -9.13967897 -16.06337239
## 465 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 466 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 467 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 468 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 469 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 470 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 471 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 472 33.95078856 -0.77003531 5.747604828 -1.41052513 44.46505481
## 473 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 474 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 475 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 476 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 477 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 478 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 479 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 480 -7.15151010 -17.86835734 -0.376008540 -6.16743382 -0.23994422
## 481 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 482 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 483 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 484 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 485 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 486 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 487 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 488 -1.34418795 13.20779630 -2.071307113 -2.69558595 4.63445725
## 489 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 490 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 491 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 492 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 493 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 494 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 495 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 496 -2.95168077 -3.77705283 3.937452476 0.34888347 5.48627604
## 497 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 498 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 499 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 500 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 501 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 502 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 503 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 504 8.85273696 -1.23846374 0.481389874 -12.50118874 2.69411075
## 505 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 506 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 507 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 508 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 509 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 510 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 511 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 512 -4.02346974 -5.30683892 0.195705133 0.54787390 6.96437252
## 513 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 514 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 515 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 516 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 517 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 518 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 519 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 520 10.48081610 0.44864596 1.831579696 -3.88018121 -22.83678157
## 521 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 522 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 523 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 524 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 525 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 526 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 527 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 528 32.62671050 -5.39095525 9.170075241 3.26621040 9.90750997
## 529 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 530 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 531 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 532 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 533 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 534 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 535 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 536 -10.00206035 -10.64702403 -5.106308208 -1.07800396 2.13433044
## 537 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 538 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 539 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 540 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 541 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 542 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 543 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 544 -13.58544030 10.57993795 16.874375165 5.45246949 32.15759708
## 545 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 546 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 547 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 548 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 549 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 550 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 551 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 552 -6.63029283 2.66472521 8.264274568 2.48814692 3.81742861
## 553 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 554 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 555 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 556 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 557 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 558 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 559 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 560 1.97878567 -9.06444768 -3.810943986 2.23178320 1.89269324
## 561 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 562 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 563 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 564 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 565 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 566 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 567 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 568 1.10318545 6.07021445 -52.150247466 11.36429893 -6.10147296
## 569 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 570 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 571 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 572 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 573 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 574 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 575 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 576 -1.17476408 6.42873515 3.579499066 4.06528505 -4.91826038
## 577 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 578 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 579 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 580 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 581 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 582 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 583 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 584 8.08393639 0.05598154 51.736178962 44.86726025 -4.41994544
## 585 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 586 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 587 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 588 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 589 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 590 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 591 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 592 0.57973596 -7.60253147 0.468201417 1.63807108 2.57034307
## 593 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 594 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 595 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 596 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 597 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 598 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 599 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 600 -1.42711799 -4.78414633 0.424306765 -2.56226357 -1.83639472
## 601 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 602 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 603 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 604 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 605 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 606 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 607 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 608 2.98473053 6.09944525 6.104087695 28.34269059 -3.30060094
## 609 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 610 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 611 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 612 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 613 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 614 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 615 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 616 -4.63248142 6.14228760 -1.274955022 3.16878482 1.44418158
## 617 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 618 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 619 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 620 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 621 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 622 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 623 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 624 2.05328076 6.29201516 14.451994437 -13.80773988 22.19518848
## 625 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 626 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 627 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 628 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 629 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 630 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 631 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 632 -1.96010817 10.75470073 9.238595823 3.67939501 16.66383238
## 633 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 634 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 635 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 636 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 637 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 638 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 639 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 640 -0.40605844 3.59323430 -0.525687860 17.36226958 -0.35508870
## 641 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 642 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 643 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 644 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 645 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 646 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 647 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 648 0.26749967 -10.96379648 0.120613646 0.36655631 -1.71127460
## 649 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 650 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 651 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 652 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 653 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 654 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 655 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 656 19.08249438 15.76645465 -35.179004748 -5.83429971 0.66727675
## 657 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 658 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 659 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 660 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 661 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 662 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 663 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 664 13.38566206 26.48810685 -7.848984695 3.53524253 -18.45431269
## 665 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 666 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 667 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 668 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 669 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 670 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 671 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 672 -5.63754512 -4.13382349 -1.867938732 3.56814662 3.95589008
## 673 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 674 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 675 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 676 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 677 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 678 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 679 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 680 -4.12715659 7.93469159 -4.907375126 5.84980610 -6.98608445
## 681 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 682 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 683 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 684 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 685 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 686 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 687 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 688 -3.31205956 -11.76399082 -1.267467751 0.24268403 5.53129566
## 689 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 690 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 691 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 692 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 693 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 694 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 695 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 696 -6.35058051 2.96176509 0.522014327 11.47208337 -1.13671800
## 697 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 698 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 699 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 700 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 701 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 702 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 703 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 704 15.04224376 28.92623098 -0.763108506 -15.01210296 5.61252275
## 705 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 706 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 707 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 708 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 709 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 710 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 711 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 712 -0.72540655 3.99549615 6.954306624 1.51268542 -0.55761806
## 713 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 714 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 715 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 716 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 717 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 718 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 719 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 720 5.00701276 4.17946203 16.389379944 -1.94519508 -0.84546757
## 721 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 722 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 723 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 724 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 725 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 726 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 727 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 728 1.14911766 3.06367154 17.509672185 -3.79646987 -2.06142067
## 729 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 730 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 731 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 732 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 733 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 734 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 735 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 736 1.44259783 -0.31656471 0.685705854 3.92237784 -2.87243617
## 737 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 738 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 739 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 740 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 741 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 742 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 743 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 744 -4.30996361 9.44557083 -26.639566906 14.66170245 0.78712882
## 745 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 746 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 747 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 748 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 749 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 750 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 751 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 752 5.65695374 3.34267863 -30.582658769 12.79986830 4.21271241
## 753 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 754 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 755 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 756 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 757 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 758 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 759 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 760 -2.68101782 6.90945684 25.893702279 -34.48639372 -10.37819147
## 761 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 762 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 763 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 764 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 765 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 766 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 767 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 768 -10.92240288 11.14366763 8.892804609 6.11223694 -2.05791219
## 769 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 770 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 771 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 772 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 773 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 774 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 775 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 776 4.10668210 4.84592926 -11.480775148 2.88647212 4.43495572
## 777 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 778 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 779 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 780 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 781 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 782 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 783 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 784 27.44093329 8.34675720 -17.806291721 -13.33071813 12.34144227
## 785 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 786 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 787 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 788 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 789 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 790 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 791 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 792 -0.85559543 4.87776753 -0.514353329 -1.17087789 -4.44385407
## 793 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 794 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 795 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 796 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 797 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 798 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 799 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 800 16.55992593 2.13001687 -5.925273003 -4.13983456 -3.62694789
## 801 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 802 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 803 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 804 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 805 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 806 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 807 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 808 0.03190206 5.60862723 -5.245408331 -0.80774664 3.05244564
## 809 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 810 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 811 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 812 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 813 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 814 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 815 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 816 -4.13002110 6.75623183 4.760202971 64.26899155 -5.81058456
## 817 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 818 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 819 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 820 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 821 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 822 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 823 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 824 -0.56596423 7.42839197 0.528822640 -1.67107781 -0.15734920
## 825 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 826 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 827 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 828 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 829 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 830 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 831 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 832 -15.53572663 -84.76238032 -7.271452059 -0.22980504 9.21485746
## 833 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 834 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 835 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 836 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 837 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 838 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 839 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 840 -9.06592810 11.35146782 -12.472534891 -8.25301848 -8.51293202
## 841 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 842 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 843 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 844 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 845 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 846 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 847 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 848 -22.20473436 7.99062526 0.100201031 1.45985369 1.30987089
## 849 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 850 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 851 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 852 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 853 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 854 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 855 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 856 7.80737888 20.69821138 6.739241072 3.22589242 2.62805416
## 857 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 858 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 859 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 860 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 861 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 862 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 863 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 864 4.42001426 -61.20209936 5.609070142 1.47676264 -10.98352681
## 865 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 866 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 867 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 868 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 869 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 870 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 871 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 872 1.19885538 2.04009071 3.055004165 -0.52288054 -3.21668329
## 873 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 874 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 875 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 876 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 877 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 878 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 879 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 880 1.92357206 -4.34100709 -0.940533489 -6.55416866 -2.74877279
## 881 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 882 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 883 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 884 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 885 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 886 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 887 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 888 -1.23803000 0.77739220 -1.393332276 13.11704470 -7.35633806
## 889 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 890 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 891 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 892 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 893 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 894 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 895 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 896 -28.24113570 11.88398196 23.203833430 -12.25217648 -4.88393103
## 897 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 898 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 899 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 900 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 901 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 902 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 903 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 904 0.86126799 -1.69066568 -0.597317754 -2.94084049 -0.69272294
## 905 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 906 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 907 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 908 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 909 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 910 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 911 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 912 0.20149272 14.84039709 4.207113700 -22.95804750 5.17659207
## 913 1.08806895 -2.68139130 0.469857125 -0.08945028 -2.99056990
## 914 1.08806895 -2.68139130 0.469857125 -0.08945028 -2.99056990
## 915 1.08806895 -2.68139130 0.469857125 -0.08945028 -2.99056990
## 916 1.08806895 -2.68139130 0.469857125 -0.08945028 -2.99056990
## 917 1.08806895 -2.68139130 0.469857125 -0.08945028 -2.99056990
## 918 2.99487467 -0.20208912 2.078508307 3.23956825 4.08704489
## 919 2.99487467 -0.20208912 2.078508307 3.23956825 4.08704489
## 920 2.99487467 -0.20208912 2.078508307 3.23956825 4.08704489
## 921 2.99487467 -0.20208912 2.078508307 3.23956825 4.08704489
## 922 2.99487467 -0.20208912 2.078508307 3.23956825 4.08704489
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -8.64936185 -2.92318752 -5.305739186 -3.17905583 -5.96100438
## 939 -8.64936185 -2.92318752 -5.305739186 -3.17905583 -5.96100438
## 940 -8.64936185 -2.92318752 -5.305739186 -3.17905583 -5.96100438
## 941 -8.64936185 -2.92318752 -5.305739186 -3.17905583 -5.96100438
## 942 -8.64936185 -2.92318752 -5.305739186 -3.17905583 -5.96100438
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -8.05456198 -10.16019259 -2.037459997 12.17501420 -4.42552512
## 954 -8.05456198 -10.16019259 -2.037459997 12.17501420 -4.42552512
## 955 -8.05456198 -10.16019259 -2.037459997 12.17501420 -4.42552512
## 956 -8.05456198 -10.16019259 -2.037459997 12.17501420 -4.42552512
## 957 -8.05456198 -10.16019259 -2.037459997 12.17501420 -4.42552512
## 958 0.32222027 -2.46240739 -1.162430545 4.05550155 5.61364401
## 959 0.32222027 -2.46240739 -1.162430545 4.05550155 5.61364401
## 960 0.32222027 -2.46240739 -1.162430545 4.05550155 5.61364401
## 961 0.32222027 -2.46240739 -1.162430545 4.05550155 5.61364401
## 962 0.32222027 -2.46240739 -1.162430545 4.05550155 5.61364401
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 1.81744463 -6.81845235 -12.884162224 -1.35194965 7.22168384
## 974 1.81744463 -6.81845235 -12.884162224 -1.35194965 7.22168384
## 975 1.81744463 -6.81845235 -12.884162224 -1.35194965 7.22168384
## 976 1.81744463 -6.81845235 -12.884162224 -1.35194965 7.22168384
## 977 1.81744463 -6.81845235 -12.884162224 -1.35194965 7.22168384
## 978 -11.42546035 -20.90234796 2.116903669 -1.14114758 43.16061772
## 979 -11.42546035 -20.90234796 2.116903669 -1.14114758 43.16061772
## 980 -11.42546035 -20.90234796 2.116903669 -1.14114758 43.16061772
## 981 -11.42546035 -20.90234796 2.116903669 -1.14114758 43.16061772
## 982 -11.42546035 -20.90234796 2.116903669 -1.14114758 43.16061772
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -2.83369392 -1.26203867 1.838335037 -1.10850295 2.72069572
## 994 -2.83369392 -1.26203867 1.838335037 -1.10850295 2.72069572
## 995 -2.83369392 -1.26203867 1.838335037 -1.10850295 2.72069572
## 996 -2.83369392 -1.26203867 1.838335037 -1.10850295 2.72069572
## 997 -2.83369392 -1.26203867 1.838335037 -1.10850295 2.72069572
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 -1.14515620 -9.72187573 4.055545657 10.82299569 -29.58064983
## 1009 -1.14515620 -9.72187573 4.055545657 10.82299569 -29.58064983
## 1010 -1.14515620 -9.72187573 4.055545657 10.82299569 -29.58064983
## 1011 -1.14515620 -9.72187573 4.055545657 10.82299569 -29.58064983
## 1012 -1.14515620 -9.72187573 4.055545657 10.82299569 -29.58064983
## 1013 4.03133695 -4.24145924 -1.750964837 0.37159968 -1.62546062
## 1014 4.03133695 -4.24145924 -1.750964837 0.37159968 -1.62546062
## 1015 4.03133695 -4.24145924 -1.750964837 0.37159968 -1.62546062
## 1016 4.03133695 -4.24145924 -1.750964837 0.37159968 -1.62546062
## 1017 4.03133695 -4.24145924 -1.750964837 0.37159968 -1.62546062
## 1018 11.91856234 9.02888309 5.347687097 8.53383710 -58.07626499
## 1019 11.91856234 9.02888309 5.347687097 8.53383710 -58.07626499
## 1020 11.91856234 9.02888309 5.347687097 8.53383710 -58.07626499
## 1021 11.91856234 9.02888309 5.347687097 8.53383710 -58.07626499
## 1022 11.91856234 9.02888309 5.347687097 8.53383710 -58.07626499
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 7.20841820 0.18107290 -9.855596034 -0.10738757 6.99432823
## 1034 7.20841820 0.18107290 -9.855596034 -0.10738757 6.99432823
## 1035 7.20841820 0.18107290 -9.855596034 -0.10738757 6.99432823
## 1036 7.20841820 0.18107290 -9.855596034 -0.10738757 6.99432823
## 1037 7.20841820 0.18107290 -9.855596034 -0.10738757 6.99432823
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 13.96159172 22.59931106 -10.001004543 -2.97298026 4.18962755
## 1069 13.96159172 22.59931106 -10.001004543 -2.97298026 4.18962755
## 1070 13.96159172 22.59931106 -10.001004543 -2.97298026 4.18962755
## 1071 13.96159172 22.59931106 -10.001004543 -2.97298026 4.18962755
## 1072 13.96159172 22.59931106 -10.001004543 -2.97298026 4.18962755
## 1073 -2.25763556 43.69571921 -3.439502961 -6.93959670 -23.44720770
## 1074 -2.25763556 43.69571921 -3.439502961 -6.93959670 -23.44720770
## 1075 -2.25763556 43.69571921 -3.439502961 -6.93959670 -23.44720770
## 1076 -2.25763556 43.69571921 -3.439502961 -6.93959670 -23.44720770
## 1077 -2.25763556 43.69571921 -3.439502961 -6.93959670 -23.44720770
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 -5.07944919 -4.84679586 17.034833951 -7.15050059 22.97713763
## 1084 -5.07944919 -4.84679586 17.034833951 -7.15050059 22.97713763
## 1085 -5.07944919 -4.84679586 17.034833951 -7.15050059 22.97713763
## 1086 -5.07944919 -4.84679586 17.034833951 -7.15050059 22.97713763
## 1087 -5.07944919 -4.84679586 17.034833951 -7.15050059 22.97713763
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -11.58508550 -0.37355158 -1.628897934 46.24031058 10.15642250
## 1094 -11.58508550 -0.37355158 -1.628897934 46.24031058 10.15642250
## 1095 -11.58508550 -0.37355158 -1.628897934 46.24031058 10.15642250
## 1096 -11.58508550 -0.37355158 -1.628897934 46.24031058 10.15642250
## 1097 -11.58508550 -0.37355158 -1.628897934 46.24031058 10.15642250
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 -0.59695273 -8.78292134 1.231105167 6.49062188 4.82969192
## 1104 -0.59695273 -8.78292134 1.231105167 6.49062188 4.82969192
## 1105 -0.59695273 -8.78292134 1.231105167 6.49062188 4.82969192
## 1106 -0.59695273 -8.78292134 1.231105167 6.49062188 4.82969192
## 1107 -0.59695273 -8.78292134 1.231105167 6.49062188 4.82969192
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 26.77306898 -28.42499430 3.176303360 -18.47452943 -3.31050148
## 1114 26.77306898 -28.42499430 3.176303360 -18.47452943 -3.31050148
## 1115 26.77306898 -28.42499430 3.176303360 -18.47452943 -3.31050148
## 1116 26.77306898 -28.42499430 3.176303360 -18.47452943 -3.31050148
## 1117 26.77306898 -28.42499430 3.176303360 -18.47452943 -3.31050148
## 1118 26.90240024 -1.57927784 -23.992816697 5.75495547 15.23115182
## 1119 26.90240024 -1.57927784 -23.992816697 5.75495547 15.23115182
## 1120 26.90240024 -1.57927784 -23.992816697 5.75495547 15.23115182
## 1121 26.90240024 -1.57927784 -23.992816697 5.75495547 15.23115182
## 1122 26.90240024 -1.57927784 -23.992816697 5.75495547 15.23115182
## 1123 -29.11473601 8.89671169 -16.923591823 2.81499704 -19.43746712
## 1124 -29.11473601 8.89671169 -16.923591823 2.81499704 -19.43746712
## 1125 -29.11473601 8.89671169 -16.923591823 2.81499704 -19.43746712
## 1126 -29.11473601 8.89671169 -16.923591823 2.81499704 -19.43746712
## 1127 -29.11473601 8.89671169 -16.923591823 2.81499704 -19.43746712
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 -2.83199831 5.56401646 17.167981976 -31.31372416 23.10691282
## 1134 -2.83199831 5.56401646 17.167981976 -31.31372416 23.10691282
## 1135 -2.83199831 5.56401646 17.167981976 -31.31372416 23.10691282
## 1136 -2.83199831 5.56401646 17.167981976 -31.31372416 23.10691282
## 1137 -2.83199831 5.56401646 17.167981976 -31.31372416 23.10691282
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 -12.49789654 6.40251976 3.629271927 1.47070309 -7.53758864
## 1144 -12.49789654 6.40251976 3.629271927 1.47070309 -7.53758864
## 1145 -12.49789654 6.40251976 3.629271927 1.47070309 -7.53758864
## 1146 -12.49789654 6.40251976 3.629271927 1.47070309 -7.53758864
## 1147 -12.49789654 6.40251976 3.629271927 1.47070309 -7.53758864
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 2.43838876 -9.19317260 -2.536755042 0.01744992 -7.61387210
## 1154 2.43838876 -9.19317260 -2.536755042 0.01744992 -7.61387210
## 1155 2.43838876 -9.19317260 -2.536755042 0.01744992 -7.61387210
## 1156 2.43838876 -9.19317260 -2.536755042 0.01744992 -7.61387210
## 1157 2.43838876 -9.19317260 -2.536755042 0.01744992 -7.61387210
## 1158 1.14150814 -4.37145286 54.457672218 9.89024343 -5.63983033
## 1159 1.14150814 -4.37145286 54.457672218 9.89024343 -5.63983033
## 1160 1.14150814 -4.37145286 54.457672218 9.89024343 -5.63983033
## 1161 1.14150814 -4.37145286 54.457672218 9.89024343 -5.63983033
## 1162 1.14150814 -4.37145286 54.457672218 9.89024343 -5.63983033
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 15.57863445 -4.01248533 30.466473450 -11.90687691 -10.14135113
## 1189 15.57863445 -4.01248533 30.466473450 -11.90687691 -10.14135113
## 1190 15.57863445 -4.01248533 30.466473450 -11.90687691 -10.14135113
## 1191 15.57863445 -4.01248533 30.466473450 -11.90687691 -10.14135113
## 1192 15.57863445 -4.01248533 30.466473450 -11.90687691 -10.14135113
## 1193 -32.11848419 -22.52158419 1.427982836 -1.40022987 23.84386382
## 1194 -32.11848419 -22.52158419 1.427982836 -1.40022987 23.84386382
## 1195 -32.11848419 -22.52158419 1.427982836 -1.40022987 23.84386382
## 1196 -32.11848419 -22.52158419 1.427982836 -1.40022987 23.84386382
## 1197 -32.11848419 -22.52158419 1.427982836 -1.40022987 23.84386382
## 1198 -13.47186700 -11.53065274 -13.808564378 1.74225653 -0.17005014
## 1199 -13.47186700 -11.53065274 -13.808564378 1.74225653 -0.17005014
## 1200 -13.47186700 -11.53065274 -13.808564378 1.74225653 -0.17005014
## 1201 -13.47186700 -11.53065274 -13.808564378 1.74225653 -0.17005014
## 1202 -13.47186700 -11.53065274 -13.808564378 1.74225653 -0.17005014
## 1203 13.68682860 14.30767414 9.827135716 0.12462862 49.06401513
## 1204 13.68682860 14.30767414 9.827135716 0.12462862 49.06401513
## 1205 13.68682860 14.30767414 9.827135716 0.12462862 49.06401513
## 1206 13.68682860 14.30767414 9.827135716 0.12462862 49.06401513
## 1207 13.68682860 14.30767414 9.827135716 0.12462862 49.06401513
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -87.22915884 19.78997938 -2.687168693 10.60988048 8.03960961
## 1214 -87.22915884 19.78997938 -2.687168693 10.60988048 8.03960961
## 1215 -87.22915884 19.78997938 -2.687168693 10.60988048 8.03960961
## 1216 -87.22915884 19.78997938 -2.687168693 10.60988048 8.03960961
## 1217 -87.22915884 19.78997938 -2.687168693 10.60988048 8.03960961
## 1218 29.52388435 10.01280887 28.689545897 11.62241162 10.73132907
## 1219 29.52388435 10.01280887 28.689545897 11.62241162 10.73132907
## 1220 29.52388435 10.01280887 28.689545897 11.62241162 10.73132907
## 1221 29.52388435 10.01280887 28.689545897 11.62241162 10.73132907
## 1222 29.52388435 10.01280887 28.689545897 11.62241162 10.73132907
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 38.70191775 -18.64588906 0.789015661 0.90089543 -3.11210130
## 1239 38.70191775 -18.64588906 0.789015661 0.90089543 -3.11210130
## 1240 38.70191775 -18.64588906 0.789015661 0.90089543 -3.11210130
## 1241 38.70191775 -18.64588906 0.789015661 0.90089543 -3.11210130
## 1242 38.70191775 -18.64588906 0.789015661 0.90089543 -3.11210130
## 1243 -5.42569608 -14.47901495 -4.099023523 3.05302116 1.40553217
## 1244 -5.42569608 -14.47901495 -4.099023523 3.05302116 1.40553217
## 1245 -5.42569608 -14.47901495 -4.099023523 3.05302116 1.40553217
## 1246 -5.42569608 -14.47901495 -4.099023523 3.05302116 1.40553217
## 1247 -5.42569608 -14.47901495 -4.099023523 3.05302116 1.40553217
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 8.66317699 4.85490500 2.367101564 51.08215480 1.58649298
## 1264 8.66317699 4.85490500 2.367101564 51.08215480 1.58649298
## 1265 8.66317699 4.85490500 2.367101564 51.08215480 1.58649298
## 1266 8.66317699 4.85490500 2.367101564 51.08215480 1.58649298
## 1267 8.66317699 4.85490500 2.367101564 51.08215480 1.58649298
## 1268 -7.45425343 0.57954627 -3.953669930 -0.95873010 3.09764226
## 1269 -7.45425343 0.57954627 -3.953669930 -0.95873010 3.09764226
## 1270 -7.45425343 0.57954627 -3.953669930 -0.95873010 3.09764226
## 1271 -7.45425343 0.57954627 -3.953669930 -0.95873010 3.09764226
## 1272 -7.45425343 0.57954627 -3.953669930 -0.95873010 3.09764226
## 1273 6.92106077 12.48138387 1.451447112 0.12425917 1.48652695
## 1274 6.92106077 12.48138387 1.451447112 0.12425917 1.48652695
## 1275 6.92106077 12.48138387 1.451447112 0.12425917 1.48652695
## 1276 6.92106077 12.48138387 1.451447112 0.12425917 1.48652695
## 1277 6.92106077 12.48138387 1.451447112 0.12425917 1.48652695
## 1278 -2.38726438 -0.16519430 -0.003387966 2.57124113 3.30014556
## 1279 -2.38726438 -0.16519430 -0.003387966 2.57124113 3.30014556
## 1280 -2.38726438 -0.16519430 -0.003387966 2.57124113 3.30014556
## 1281 -2.38726438 -0.16519430 -0.003387966 2.57124113 3.30014556
## 1282 -2.38726438 -0.16519430 -0.003387966 2.57124113 3.30014556
## 1283 0.40839705 0.95731454 -0.767476448 6.19715628 -4.88716630
## 1284 0.40839705 0.95731454 -0.767476448 6.19715628 -4.88716630
## 1285 0.40839705 0.95731454 -0.767476448 6.19715628 -4.88716630
## 1286 0.40839705 0.95731454 -0.767476448 6.19715628 -4.88716630
## 1287 0.40839705 0.95731454 -0.767476448 6.19715628 -4.88716630
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 -2.75418549 -2.04236645 12.643421980 -3.36762477 -3.88229926
## 1299 -2.75418549 -2.04236645 12.643421980 -3.36762477 -3.88229926
## 1300 -2.75418549 -2.04236645 12.643421980 -3.36762477 -3.88229926
## 1301 -2.75418549 -2.04236645 12.643421980 -3.36762477 -3.88229926
## 1302 -2.75418549 -2.04236645 12.643421980 -3.36762477 -3.88229926
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 -0.66840961 -9.41170729 5.677969888 1.72014341 1.04878768
## 1314 -0.66840961 -9.41170729 5.677969888 1.72014341 1.04878768
## 1315 -0.66840961 -9.41170729 5.677969888 1.72014341 1.04878768
## 1316 -0.66840961 -9.41170729 5.677969888 1.72014341 1.04878768
## 1317 -0.66840961 -9.41170729 5.677969888 1.72014341 1.04878768
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 0.37780758 -1.95413187 -2.152134722 -6.95285372 -1.75304321
## 1364 0.37780758 -1.95413187 -2.152134722 -6.95285372 -1.75304321
## 1365 0.37780758 -1.95413187 -2.152134722 -6.95285372 -1.75304321
## 1366 0.37780758 -1.95413187 -2.152134722 -6.95285372 -1.75304321
## 1367 0.37780758 -1.95413187 -2.152134722 -6.95285372 -1.75304321
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 1.55038331 -1.16489962 -1.889332009 -5.49278599 -2.57573681
## 1379 1.55038331 -1.16489962 -1.889332009 -5.49278599 -2.57573681
## 1380 1.55038331 -1.16489962 -1.889332009 -5.49278599 -2.57573681
## 1381 1.55038331 -1.16489962 -1.889332009 -5.49278599 -2.57573681
## 1382 1.55038331 -1.16489962 -1.889332009 -5.49278599 -2.57573681
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 3.05886230 -1.67608159 -5.506964631 -20.27260445 -3.64241520
## 1389 3.05886230 -1.67608159 -5.506964631 -20.27260445 -3.64241520
## 1390 3.05886230 -1.67608159 -5.506964631 -20.27260445 -3.64241520
## 1391 3.05886230 -1.67608159 -5.506964631 -20.27260445 -3.64241520
## 1392 3.05886230 -1.67608159 -5.506964631 -20.27260445 -3.64241520
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 27.23975554 1.53380678 -5.699505848 9.09098747 -14.16320718
## 1414 27.23975554 1.53380678 -5.699505848 9.09098747 -14.16320718
## 1415 27.23975554 1.53380678 -5.699505848 9.09098747 -14.16320718
## 1416 27.23975554 1.53380678 -5.699505848 9.09098747 -14.16320718
## 1417 27.23975554 1.53380678 -5.699505848 9.09098747 -14.16320718
## 1418 -1.68173468 0.74514375 -0.979351486 -4.81000516 -1.53250139
## 1419 -1.68173468 0.74514375 -0.979351486 -4.81000516 -1.53250139
## 1420 -1.68173468 0.74514375 -0.979351486 -4.81000516 -1.53250139
## 1421 -1.68173468 0.74514375 -0.979351486 -4.81000516 -1.53250139
## 1422 -1.68173468 0.74514375 -0.979351486 -4.81000516 -1.53250139
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -7.78934599 5.01600773 1.243585285 -19.10862639 0.61244660
## 1429 -7.78934599 5.01600773 1.243585285 -19.10862639 0.61244660
## 1430 -7.78934599 5.01600773 1.243585285 -19.10862639 0.61244660
## 1431 -7.78934599 5.01600773 1.243585285 -19.10862639 0.61244660
## 1432 -7.78934599 5.01600773 1.243585285 -19.10862639 0.61244660
## 1433 22.97655471 13.86558320 36.608954023 -0.29350337 -38.36843229
## 1434 22.97655471 13.86558320 36.608954023 -0.29350337 -38.36843229
## 1435 22.97655471 13.86558320 36.608954023 -0.29350337 -38.36843229
## 1436 22.97655471 13.86558320 36.608954023 -0.29350337 -38.36843229
## 1437 22.97655471 13.86558320 36.608954023 -0.29350337 -38.36843229
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 16.80130405 0.64519981 3.716787626 2.81877306 15.00666368
## 1444 16.80130405 0.64519981 3.716787626 2.81877306 15.00666368
## 1445 16.80130405 0.64519981 3.716787626 2.81877306 15.00666368
## 1446 16.80130405 0.64519981 3.716787626 2.81877306 15.00666368
## 1447 16.80130405 0.64519981 3.716787626 2.81877306 15.00666368
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -8.84715330 8.58581426 -1.380859625 -6.64347154 2.71487289
## 1464 -8.84715330 8.58581426 -1.380859625 -6.64347154 2.71487289
## 1465 -8.84715330 8.58581426 -1.380859625 -6.64347154 2.71487289
## 1466 -8.84715330 8.58581426 -1.380859625 -6.64347154 2.71487289
## 1467 -8.84715330 8.58581426 -1.380859625 -6.64347154 2.71487289
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 1.89173850 -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1489 1.89173850 -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1490 1.89173850 -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1491 1.89173850 -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1492 1.89173850 -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1493 -0.83218886 -1.58177014 -31.232988274 -1.74141532 -44.09468750
## 1494 -0.83218886 -1.58177014 -31.232988274 -1.74141532 -44.09468750
## 1495 -0.83218886 -1.58177014 -31.232988274 -1.74141532 -44.09468750
## 1496 -0.83218886 -1.58177014 -31.232988274 -1.74141532 -44.09468750
## 1497 -0.83218886 -1.58177014 -31.232988274 -1.74141532 -44.09468750
## 1498 -16.24941064 1.47873677 -18.410826417 -48.17010289 -7.84926425
## 1499 -16.24941064 1.47873677 -18.410826417 -48.17010289 -7.84926425
## 1500 -16.24941064 1.47873677 -18.410826417 -48.17010289 -7.84926425
## 1501 -16.24941064 1.47873677 -18.410826417 -48.17010289 -7.84926425
## 1502 -16.24941064 1.47873677 -18.410826417 -48.17010289 -7.84926425
## 1503 -1.56693789 -2.12228639 3.678429166 -22.14322898 -0.16425725
## 1504 -1.56693789 -2.12228639 3.678429166 -22.14322898 -0.16425725
## 1505 -1.56693789 -2.12228639 3.678429166 -22.14322898 -0.16425725
## 1506 -1.56693789 -2.12228639 3.678429166 -22.14322898 -0.16425725
## 1507 -1.56693789 -2.12228639 3.678429166 -22.14322898 -0.16425725
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 -7.68843141 4.75001780 -7.115123079 -4.18321367 2.04706066
## 1529 -7.68843141 4.75001780 -7.115123079 -4.18321367 2.04706066
## 1530 -7.68843141 4.75001780 -7.115123079 -4.18321367 2.04706066
## 1531 -7.68843141 4.75001780 -7.115123079 -4.18321367 2.04706066
## 1532 -7.68843141 4.75001780 -7.115123079 -4.18321367 2.04706066
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC67_score PC65_score PC49_score PC22_score PC100_score
## 1 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 2 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 3 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 4 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 5 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 6 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 7 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 8 38.56026414 20.55423462 1.12673709 -2.3618082 1.909229621
## 9 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 10 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 11 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 12 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 13 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 14 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 15 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 16 -4.68614024 2.03296079 -5.58908714 -1.1566844 -8.168698639
## 17 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 18 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 19 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 20 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 21 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 22 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 23 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 24 -5.72819302 2.21728505 -21.57732887 -12.1507679 -1.352171619
## 25 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 26 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 27 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 28 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 29 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 30 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 31 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 32 -0.66513834 -20.52880380 -40.44242749 15.0748475 0.545481662
## 33 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 34 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 35 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 36 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 37 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 38 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 39 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 40 -19.39840601 -0.27373357 1.47855556 -9.8857469 0.733252635
## 41 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 42 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 43 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 44 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 45 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 46 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 47 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 48 -16.62855610 -0.86496680 -3.23490791 -3.6507281 14.626446197
## 49 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 50 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 51 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 52 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 53 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 54 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 55 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 56 3.02327333 6.33323817 -4.88410236 7.2601444 -0.165232819
## 57 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 58 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 59 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 60 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 61 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 62 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 63 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 64 -16.14857025 -11.96104356 -3.89783002 -6.1875828 5.593274652
## 65 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 66 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 67 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 68 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 69 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 70 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 71 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 72 7.49824561 9.06367401 -32.08752919 -3.3027298 -0.191966989
## 73 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 74 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 75 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 76 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 77 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 78 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 79 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 80 2.74748591 -25.32803702 4.71912036 -7.7994027 -0.645974753
## 81 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 82 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 83 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 84 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 85 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 86 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 87 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 88 5.69759074 -3.14271200 -0.37539311 -2.1959972 -3.810582893
## 89 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 90 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 91 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 92 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 93 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 94 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 95 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 96 3.60453736 -0.92773104 8.68051369 2.2269879 1.007859039
## 97 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 98 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 99 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 100 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 101 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 102 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 103 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 104 1.28282891 -7.12831511 47.90694942 0.3089100 4.547004306
## 105 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 106 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 107 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 108 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 109 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 110 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 111 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 112 4.09884638 -1.26600826 -2.25771602 -1.1731439 11.926964204
## 113 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 114 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 115 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 116 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 117 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 118 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 119 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 120 0.25912866 -0.93891933 -0.84484779 -14.0908797 0.756327442
## 121 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 122 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 123 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 124 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 125 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 126 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 127 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 128 1.27578240 -24.31751479 10.25373671 7.2399835 0.155417036
## 129 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 130 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 131 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 132 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 133 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 134 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 135 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 136 40.89177530 1.38190482 43.76601737 -4.3458718 0.009469931
## 137 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 138 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 139 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 140 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 141 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 142 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 143 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 144 1.53938512 3.86203601 1.43249005 3.4695323 -0.356080271
## 145 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 146 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 147 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 148 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 149 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 150 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 151 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 152 -3.89602154 -33.44621448 5.65117941 -4.0927249 -0.039262964
## 153 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 154 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 155 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 156 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 157 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 158 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 159 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 160 3.14791312 -4.70868051 0.56813083 5.5105905 -2.089081802
## 161 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 162 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 163 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 164 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 165 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 166 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 167 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 168 8.69776419 -37.56722454 4.72810251 -1.8951975 1.700106767
## 169 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 170 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 171 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 172 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 173 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 174 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 175 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 176 2.71451394 1.98554833 -0.84316421 -0.5780641 -2.994887887
## 177 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 178 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 179 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 180 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 181 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 182 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 183 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 184 -5.06902705 13.44956565 -0.60186765 1.5790055 13.898219424
## 185 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 186 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 187 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 188 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 189 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 190 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 191 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 192 -0.19523613 -0.94332462 -1.18797788 7.2255881 0.836408284
## 193 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 194 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 195 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 196 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 197 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 198 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 199 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 200 0.90900562 -2.30163800 18.02123880 3.1946853 0.777953952
## 201 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 202 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 203 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 204 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 205 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 206 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 207 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 208 0.63436402 0.58232686 -0.78368001 -41.4595829 -1.666293354
## 209 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 210 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 211 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 212 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 213 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 214 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 215 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 216 -1.75133150 1.56450752 -0.75046845 -48.6843174 -2.080735535
## 217 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 218 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 219 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 220 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 221 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 222 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 223 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 224 0.49857921 -0.53083458 -0.15766711 3.9239079 -1.366401136
## 225 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 226 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 227 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 228 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 229 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 230 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 231 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 232 5.17230254 3.82213129 3.81599734 1.1621889 -12.573475221
## 233 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 234 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 235 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 236 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 237 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 238 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 239 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 240 -3.33742769 3.27786186 -7.79284252 37.8051213 -0.735798957
## 241 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 242 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 243 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 244 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 245 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 246 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 247 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 248 -45.81960835 26.06890101 15.42137955 -1.2625736 7.300993035
## 249 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 250 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 251 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 252 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 253 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 254 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 255 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 256 -3.22419769 22.47448633 11.48563715 -4.0235531 1.597557497
## 257 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 258 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 259 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 260 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 261 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 262 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 263 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 264 -1.53184827 4.88185624 1.09076457 2.0008496 -33.280625229
## 265 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 266 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 267 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 268 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 269 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 270 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 271 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 272 23.05116262 -23.87450653 -27.88023605 -2.8773738 3.035425807
## 273 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 274 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 275 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 276 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 277 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 278 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 279 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 280 9.87101074 -6.98017885 44.35037588 0.9482794 -2.078737339
## 281 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 282 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 283 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 284 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 285 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 286 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 287 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 288 -0.40505256 -6.39639270 10.75885985 0.5752017 -0.660134343
## 289 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 290 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 291 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 292 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 293 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 294 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 295 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 296 -10.09517857 35.67013328 0.17992308 6.3688595 -0.200419119
## 297 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 298 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 299 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 300 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 301 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 302 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 303 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 304 -1.01813477 6.94771877 1.17192666 9.8812591 -36.837913857
## 305 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 306 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 307 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 308 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 309 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 310 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 311 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 312 -5.40267102 5.10475919 3.52006164 -2.2812384 -14.353615744
## 313 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 314 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 315 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 316 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 317 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 318 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 319 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 320 9.20265013 0.73515890 -22.90671448 -6.2731366 1.685534238
## 321 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 322 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 323 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 324 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 325 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 326 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 327 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 328 -7.65647396 -0.13448586 -45.37766361 15.9222573 4.474845394
## 329 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 330 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 331 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 332 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 333 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 334 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 335 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 336 23.54567105 23.53147869 -1.01641520 6.4806320 -1.404729252
## 337 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 338 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 339 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 340 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 341 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 342 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 343 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 344 0.24315599 5.81198595 18.37607579 10.6422959 0.138669787
## 345 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 346 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 347 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 348 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 349 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 350 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 351 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 352 -0.53654028 3.77230157 7.03721678 -19.6341700 -0.098711676
## 353 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 354 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 355 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 356 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 357 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 358 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 359 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 360 -23.63284064 23.84034902 -1.13711750 12.1684758 2.199435668
## 361 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 362 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 363 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 364 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 365 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 366 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 367 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 368 1.46330610 4.82009041 6.35742382 15.2371489 2.026959888
## 369 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 370 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 371 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 372 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 373 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 374 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 375 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 376 -36.82049911 6.89508631 1.32005670 -3.6089627 -10.026254786
## 377 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 378 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 379 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 380 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 381 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 382 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 383 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 384 -25.25617461 -3.29292942 6.02783789 2.1888720 -3.862391970
## 385 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 386 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 387 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 388 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 389 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 390 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 391 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 392 0.54078291 10.24853239 -2.23796933 0.5320607 57.904924315
## 393 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 394 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 395 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 396 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 397 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 398 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 399 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 400 0.66729811 4.71684127 1.51935072 4.3669131 20.143463307
## 401 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 402 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 403 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 404 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 405 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 406 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 407 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 408 2.32039091 -4.61252688 -9.72806095 -5.4608443 -2.425089630
## 409 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 410 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 411 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 412 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 413 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 414 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 415 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 416 15.04638455 8.95839996 -11.86790359 -3.9568640 -3.274012041
## 417 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 418 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 419 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 420 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 421 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 422 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 423 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 424 8.93542501 -0.98498236 2.51026595 5.0883172 -3.050946696
## 425 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 426 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 427 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 428 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 429 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 430 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 431 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 432 3.04505287 -6.37705258 -17.33387150 -4.5723655 2.162005279
## 433 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 434 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 435 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 436 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 437 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 438 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 439 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 440 -0.02445028 44.89728565 -1.50560851 5.1879331 -3.160769206
## 441 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 442 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 443 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 444 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 445 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 446 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 447 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 448 -1.45216054 -1.97530945 -1.51211938 -17.6297186 1.269752749
## 449 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 450 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 451 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 452 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 453 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 454 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 455 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 456 4.10115049 -7.80515553 -5.78317508 -1.2628217 -1.277285187
## 457 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 458 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 459 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 460 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 461 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 462 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 463 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 464 -16.47104077 -9.97792178 -13.95367074 4.2385016 10.595037163
## 465 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 466 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 467 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 468 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 469 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 470 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 471 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 472 6.56991333 -11.09093425 -9.83278954 7.4376199 1.026398999
## 473 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 474 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 475 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 476 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 477 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 478 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 479 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 480 -1.78820120 -0.37270009 -12.75757040 48.3414456 -0.352409743
## 481 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 482 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 483 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 484 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 485 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 486 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 487 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 488 3.49296439 -3.40222101 7.65460364 -28.4520109 -2.124963235
## 489 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 490 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 491 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 492 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 493 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 494 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 495 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 496 2.74124523 1.19159476 4.63482762 2.8990059 0.869400550
## 497 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 498 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 499 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 500 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 501 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 502 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 503 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 504 6.62384058 11.72502384 -2.39396346 2.7892988 -6.323165981
## 505 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 506 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 507 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 508 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 509 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 510 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 511 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 512 3.46718994 -3.27369214 -0.32483725 -0.0742946 -0.909313106
## 513 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 514 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 515 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 516 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 517 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 518 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 519 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 520 2.94909116 4.11541244 -20.86921868 7.8161911 -2.238913866
## 521 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 522 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 523 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 524 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 525 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 526 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 527 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 528 -7.84805827 9.44220107 20.79879876 5.9579965 1.431566865
## 529 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 530 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 531 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 532 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 533 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 534 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 535 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 536 -1.55811398 -10.57349526 1.18641660 33.3429540 1.318744943
## 537 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 538 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 539 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 540 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 541 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 542 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 543 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 544 -3.81399428 38.71559649 -12.14029215 -0.2415626 -5.676855983
## 545 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 546 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 547 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 548 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 549 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 550 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 551 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 552 -4.24883167 -3.15363798 -3.91312281 1.3592173 10.344103112
## 553 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 554 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 555 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 556 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 557 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 558 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 559 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 560 0.90069086 6.79054327 -1.38786595 12.5088497 1.130974760
## 561 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 562 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 563 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 564 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 565 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 566 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 567 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 568 8.54483196 9.96215221 0.21464211 3.7346548 -0.943625444
## 569 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 570 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 571 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 572 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 573 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 574 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 575 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 576 0.05475242 -2.85083897 5.73287997 -0.1145718 -8.347207208
## 577 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 578 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 579 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 580 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 581 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 582 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 583 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 584 -33.25987446 -13.14138104 -6.55368814 5.9749365 -4.045963025
## 585 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 586 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 587 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 588 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 589 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 590 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 591 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 592 4.11554780 -2.25511263 1.12285251 -2.4494043 1.935182737
## 593 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 594 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 595 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 596 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 597 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 598 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 599 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 600 2.96389168 0.91104849 3.42748325 -0.8878617 1.139388722
## 601 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 602 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 603 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 604 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 605 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 606 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 607 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 608 -2.53718755 -0.07231114 1.01583140 6.4920173 -11.282780486
## 609 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 610 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 611 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 612 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 613 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 614 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 615 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 616 -7.80803933 -7.04630976 -1.03289228 5.3272809 -7.061407686
## 617 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 618 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 619 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 620 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 621 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 622 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 623 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 624 39.19207372 -7.70911548 -6.93621500 1.9258201 -1.501718284
## 625 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 626 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 627 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 628 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 629 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 630 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 631 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 632 -4.66485278 -2.14428687 15.67512950 3.0712608 -0.856103026
## 633 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 634 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 635 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 636 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 637 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 638 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 639 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 640 -21.33805481 -7.50128611 -1.35733580 -2.6172485 -7.467626256
## 641 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 642 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 643 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 644 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 645 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 646 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 647 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 648 3.14555061 1.20301182 2.95604654 28.3788439 2.246490442
## 649 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 650 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 651 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 652 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 653 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 654 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 655 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 656 -15.85990057 -27.63007049 7.48731294 -0.7682393 5.656151671
## 657 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 658 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 659 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 660 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 661 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 662 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 663 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 664 10.09541526 -7.83320895 -12.79157186 -6.6592833 -3.554421277
## 665 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 666 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 667 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 668 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 669 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 670 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 671 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 672 1.68592968 4.66906210 -7.08445229 -57.3432551 0.643150901
## 673 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 674 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 675 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 676 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 677 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 678 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 679 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 680 1.09525963 -1.96753516 2.01061253 2.6286558 -0.145963315
## 681 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 682 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 683 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 684 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 685 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 686 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 687 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 688 9.10896163 -2.80025792 8.79947930 48.5684986 -0.396087606
## 689 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 690 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 691 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 692 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 693 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 694 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 695 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 696 -0.48520404 -0.46244760 4.40977274 -2.2638722 -39.536674935
## 697 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 698 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 699 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 700 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 701 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 702 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 703 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 704 7.58316600 -5.08058741 -9.62146904 30.3064663 -2.924561143
## 705 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 706 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 707 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 708 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 709 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 710 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 711 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 712 -8.20299361 1.19934648 3.53738412 3.4493909 4.584896609
## 713 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 714 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 715 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 716 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 717 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 718 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 719 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 720 -3.46250081 7.23583214 0.27705529 0.6818432 17.375730525
## 721 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 722 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 723 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 724 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 725 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 726 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 727 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 728 -10.99666230 6.76325142 10.88689465 -3.0333295 -3.832930300
## 729 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 730 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 731 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 732 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 733 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 734 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 735 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 736 2.77505772 3.82505723 -2.06135464 -11.7446531 -0.669229848
## 737 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 738 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 739 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 740 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 741 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 742 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 743 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 744 2.29355599 -11.72280279 -2.73959074 2.7260667 6.088290482
## 745 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 746 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 747 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 748 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 749 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 750 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 751 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 752 -12.44090565 2.40484745 7.86546529 3.4574216 -33.881285115
## 753 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 754 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 755 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 756 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 757 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 758 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 759 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 760 16.94425132 -6.41620268 2.16853068 3.6719108 -2.355397440
## 761 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 762 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 763 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 764 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 765 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 766 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 767 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 768 -12.53729384 -44.76099809 22.41375648 2.9350288 4.499059325
## 769 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 770 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 771 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 772 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 773 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 774 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 775 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 776 -7.65407245 -2.66078549 4.01033381 1.7810155 17.976891919
## 777 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 778 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 779 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 780 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 781 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 782 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 783 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 784 -7.08636965 -22.00903719 -22.55826552 -2.2863602 -8.566504929
## 785 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 786 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 787 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 788 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 789 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 790 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 791 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 792 2.53588991 1.43834480 1.41919943 5.4732597 -0.329038362
## 793 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 794 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 795 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 796 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 797 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 798 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 799 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 800 -3.53134924 -0.57569020 12.07752525 -12.7708727 -1.110977656
## 801 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 802 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 803 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 804 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 805 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 806 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 807 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 808 -0.30223188 3.57678341 8.99439830 0.1376328 58.954140147
## 809 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 810 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 811 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 812 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 813 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 814 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 815 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 816 17.99189638 9.50170264 10.21370431 1.4736162 -7.705136968
## 817 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 818 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 819 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 820 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 821 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 822 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 823 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 824 -3.32405830 2.34101598 1.64926550 0.9798457 7.350894600
## 825 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 826 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 827 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 828 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 829 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 830 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 831 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 832 -0.15834259 -4.21888154 -15.45486247 -15.8362794 -1.733794173
## 833 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 834 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 835 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 836 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 837 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 838 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 839 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 840 -5.97161911 7.99272809 10.00062389 -1.3304544 -7.710101926
## 841 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 842 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 843 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 844 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 845 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 846 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 847 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 848 -8.43492894 -6.22506605 12.58469164 -4.0561397 -1.896659903
## 849 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 850 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 851 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 852 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 853 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 854 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 855 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 856 3.44908054 -0.09961165 -2.77745345 -27.0754699 0.148736239
## 857 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 858 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 859 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 860 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 861 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 862 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 863 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 864 0.09074857 6.12892942 -25.77505896 -17.5250876 -0.414206306
## 865 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 866 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 867 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 868 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 869 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 870 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 871 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 872 0.09707716 -0.79685363 -0.52209389 -1.6117977 -0.048732390
## 873 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 874 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 875 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 876 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 877 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 878 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 879 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 880 -0.02987394 2.26800596 -6.29696452 -35.8619262 0.262609269
## 881 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 882 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 883 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 884 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 885 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 886 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 887 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 888 -0.79886867 -0.93595436 0.07389761 1.2151258 4.091639829
## 889 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 890 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 891 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 892 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 893 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 894 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 895 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 896 15.88458137 16.25561760 1.68770630 0.8719925 11.284689898
## 897 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 898 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 899 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 900 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 901 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 902 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 903 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 904 -4.27465913 -0.07440255 -1.06173218 -10.2118387 -1.395786613
## 905 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 906 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 907 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 908 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 909 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 910 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 911 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 912 40.58847950 0.28511135 -2.46902247 -2.4538485 -2.349327377
## 913 -0.80766089 -4.93926699 -3.92489099 8.9216501 1.020878817
## 914 -0.80766089 -4.93926699 -3.92489099 8.9216501 1.020878817
## 915 -0.80766089 -4.93926699 -3.92489099 8.9216501 1.020878817
## 916 -0.80766089 -4.93926699 -3.92489099 8.9216501 1.020878817
## 917 -0.80766089 -4.93926699 -3.92489099 8.9216501 1.020878817
## 918 7.67348661 0.13367470 7.12834662 -6.1765633 25.585973488
## 919 7.67348661 0.13367470 7.12834662 -6.1765633 25.585973488
## 920 7.67348661 0.13367470 7.12834662 -6.1765633 25.585973488
## 921 7.67348661 0.13367470 7.12834662 -6.1765633 25.585973488
## 922 7.67348661 0.13367470 7.12834662 -6.1765633 25.585973488
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 3.69509584 12.92043349 -3.45597034 -5.7582490 -25.832322314
## 939 3.69509584 12.92043349 -3.45597034 -5.7582490 -25.832322314
## 940 3.69509584 12.92043349 -3.45597034 -5.7582490 -25.832322314
## 941 3.69509584 12.92043349 -3.45597034 -5.7582490 -25.832322314
## 942 3.69509584 12.92043349 -3.45597034 -5.7582490 -25.832322314
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 42.78777396 -14.53680576 2.51998568 2.2001380 -2.758875747
## 954 42.78777396 -14.53680576 2.51998568 2.2001380 -2.758875747
## 955 42.78777396 -14.53680576 2.51998568 2.2001380 -2.758875747
## 956 42.78777396 -14.53680576 2.51998568 2.2001380 -2.758875747
## 957 42.78777396 -14.53680576 2.51998568 2.2001380 -2.758875747
## 958 7.99886548 3.51580056 -3.49145214 -3.4867870 13.190147253
## 959 7.99886548 3.51580056 -3.49145214 -3.4867870 13.190147253
## 960 7.99886548 3.51580056 -3.49145214 -3.4867870 13.190147253
## 961 7.99886548 3.51580056 -3.49145214 -3.4867870 13.190147253
## 962 7.99886548 3.51580056 -3.49145214 -3.4867870 13.190147253
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 1.01469526 5.46977955 -2.26880911 -35.5031841 2.497949632
## 974 1.01469526 5.46977955 -2.26880911 -35.5031841 2.497949632
## 975 1.01469526 5.46977955 -2.26880911 -35.5031841 2.497949632
## 976 1.01469526 5.46977955 -2.26880911 -35.5031841 2.497949632
## 977 1.01469526 5.46977955 -2.26880911 -35.5031841 2.497949632
## 978 -5.18567449 -0.65850162 66.78948543 -11.9587409 -5.332595862
## 979 -5.18567449 -0.65850162 66.78948543 -11.9587409 -5.332595862
## 980 -5.18567449 -0.65850162 66.78948543 -11.9587409 -5.332595862
## 981 -5.18567449 -0.65850162 66.78948543 -11.9587409 -5.332595862
## 982 -5.18567449 -0.65850162 66.78948543 -11.9587409 -5.332595862
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 3.66786181 -4.55159506 -7.42476323 36.0979161 2.934312395
## 994 3.66786181 -4.55159506 -7.42476323 36.0979161 2.934312395
## 995 3.66786181 -4.55159506 -7.42476323 36.0979161 2.934312395
## 996 3.66786181 -4.55159506 -7.42476323 36.0979161 2.934312395
## 997 3.66786181 -4.55159506 -7.42476323 36.0979161 2.934312395
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 -45.91117216 12.48217288 -16.16714145 -5.6298927 1.878225606
## 1009 -45.91117216 12.48217288 -16.16714145 -5.6298927 1.878225606
## 1010 -45.91117216 12.48217288 -16.16714145 -5.6298927 1.878225606
## 1011 -45.91117216 12.48217288 -16.16714145 -5.6298927 1.878225606
## 1012 -45.91117216 12.48217288 -16.16714145 -5.6298927 1.878225606
## 1013 0.01758310 -3.90356063 -0.39115715 -4.3824498 -1.786608205
## 1014 0.01758310 -3.90356063 -0.39115715 -4.3824498 -1.786608205
## 1015 0.01758310 -3.90356063 -0.39115715 -4.3824498 -1.786608205
## 1016 0.01758310 -3.90356063 -0.39115715 -4.3824498 -1.786608205
## 1017 0.01758310 -3.90356063 -0.39115715 -4.3824498 -1.786608205
## 1018 -6.12601629 16.32809428 57.72361732 -31.9245842 -4.973832673
## 1019 -6.12601629 16.32809428 57.72361732 -31.9245842 -4.973832673
## 1020 -6.12601629 16.32809428 57.72361732 -31.9245842 -4.973832673
## 1021 -6.12601629 16.32809428 57.72361732 -31.9245842 -4.973832673
## 1022 -6.12601629 16.32809428 57.72361732 -31.9245842 -4.973832673
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 17.74542167 6.54688952 20.08442351 -4.9886766 -3.541070954
## 1034 17.74542167 6.54688952 20.08442351 -4.9886766 -3.541070954
## 1035 17.74542167 6.54688952 20.08442351 -4.9886766 -3.541070954
## 1036 17.74542167 6.54688952 20.08442351 -4.9886766 -3.541070954
## 1037 17.74542167 6.54688952 20.08442351 -4.9886766 -3.541070954
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -5.92399532 -1.05583183 -6.77166622 -69.3448863 -2.654231808
## 1069 -5.92399532 -1.05583183 -6.77166622 -69.3448863 -2.654231808
## 1070 -5.92399532 -1.05583183 -6.77166622 -69.3448863 -2.654231808
## 1071 -5.92399532 -1.05583183 -6.77166622 -69.3448863 -2.654231808
## 1072 -5.92399532 -1.05583183 -6.77166622 -69.3448863 -2.654231808
## 1073 -7.43765323 -6.70646936 -26.03538600 -28.9170884 2.646058821
## 1074 -7.43765323 -6.70646936 -26.03538600 -28.9170884 2.646058821
## 1075 -7.43765323 -6.70646936 -26.03538600 -28.9170884 2.646058821
## 1076 -7.43765323 -6.70646936 -26.03538600 -28.9170884 2.646058821
## 1077 -7.43765323 -6.70646936 -26.03538600 -28.9170884 2.646058821
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 -30.06798731 15.28775280 16.02151802 -7.0676125 1.679893406
## 1084 -30.06798731 15.28775280 16.02151802 -7.0676125 1.679893406
## 1085 -30.06798731 15.28775280 16.02151802 -7.0676125 1.679893406
## 1086 -30.06798731 15.28775280 16.02151802 -7.0676125 1.679893406
## 1087 -30.06798731 15.28775280 16.02151802 -7.0676125 1.679893406
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 8.13238329 -13.94561135 -3.23049053 -6.7470551 -1.798153607
## 1094 8.13238329 -13.94561135 -3.23049053 -6.7470551 -1.798153607
## 1095 8.13238329 -13.94561135 -3.23049053 -6.7470551 -1.798153607
## 1096 8.13238329 -13.94561135 -3.23049053 -6.7470551 -1.798153607
## 1097 8.13238329 -13.94561135 -3.23049053 -6.7470551 -1.798153607
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 2.60223804 -16.48703634 3.45706698 -4.4873537 -3.754181408
## 1104 2.60223804 -16.48703634 3.45706698 -4.4873537 -3.754181408
## 1105 2.60223804 -16.48703634 3.45706698 -4.4873537 -3.754181408
## 1106 2.60223804 -16.48703634 3.45706698 -4.4873537 -3.754181408
## 1107 2.60223804 -16.48703634 3.45706698 -4.4873537 -3.754181408
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 9.36619074 -29.23535613 -9.59620325 14.2570475 -2.889853386
## 1114 9.36619074 -29.23535613 -9.59620325 14.2570475 -2.889853386
## 1115 9.36619074 -29.23535613 -9.59620325 14.2570475 -2.889853386
## 1116 9.36619074 -29.23535613 -9.59620325 14.2570475 -2.889853386
## 1117 9.36619074 -29.23535613 -9.59620325 14.2570475 -2.889853386
## 1118 -10.28128967 27.98096917 22.41295128 -8.0225501 -0.526326331
## 1119 -10.28128967 27.98096917 22.41295128 -8.0225501 -0.526326331
## 1120 -10.28128967 27.98096917 22.41295128 -8.0225501 -0.526326331
## 1121 -10.28128967 27.98096917 22.41295128 -8.0225501 -0.526326331
## 1122 -10.28128967 27.98096917 22.41295128 -8.0225501 -0.526326331
## 1123 22.30590021 -14.97531341 4.93586803 8.8811081 -0.685465038
## 1124 22.30590021 -14.97531341 4.93586803 8.8811081 -0.685465038
## 1125 22.30590021 -14.97531341 4.93586803 8.8811081 -0.685465038
## 1126 22.30590021 -14.97531341 4.93586803 8.8811081 -0.685465038
## 1127 22.30590021 -14.97531341 4.93586803 8.8811081 -0.685465038
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 24.97109749 -33.63415430 -4.89110879 -8.6884658 -4.229261088
## 1134 24.97109749 -33.63415430 -4.89110879 -8.6884658 -4.229261088
## 1135 24.97109749 -33.63415430 -4.89110879 -8.6884658 -4.229261088
## 1136 24.97109749 -33.63415430 -4.89110879 -8.6884658 -4.229261088
## 1137 24.97109749 -33.63415430 -4.89110879 -8.6884658 -4.229261088
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 1.48773910 2.46723442 10.97206234 2.1000024 -0.153232389
## 1144 1.48773910 2.46723442 10.97206234 2.1000024 -0.153232389
## 1145 1.48773910 2.46723442 10.97206234 2.1000024 -0.153232389
## 1146 1.48773910 2.46723442 10.97206234 2.1000024 -0.153232389
## 1147 1.48773910 2.46723442 10.97206234 2.1000024 -0.153232389
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 1.09791526 -6.22457275 -19.19485865 -0.7595241 2.205889642
## 1154 1.09791526 -6.22457275 -19.19485865 -0.7595241 2.205889642
## 1155 1.09791526 -6.22457275 -19.19485865 -0.7595241 2.205889642
## 1156 1.09791526 -6.22457275 -19.19485865 -0.7595241 2.205889642
## 1157 1.09791526 -6.22457275 -19.19485865 -0.7595241 2.205889642
## 1158 68.66467109 33.81646565 -19.19328056 -3.9899418 -9.212533287
## 1159 68.66467109 33.81646565 -19.19328056 -3.9899418 -9.212533287
## 1160 68.66467109 33.81646565 -19.19328056 -3.9899418 -9.212533287
## 1161 68.66467109 33.81646565 -19.19328056 -3.9899418 -9.212533287
## 1162 68.66467109 33.81646565 -19.19328056 -3.9899418 -9.212533287
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 -26.16894724 -13.64693535 -19.68593252 0.7751988 13.659701384
## 1189 -26.16894724 -13.64693535 -19.68593252 0.7751988 13.659701384
## 1190 -26.16894724 -13.64693535 -19.68593252 0.7751988 13.659701384
## 1191 -26.16894724 -13.64693535 -19.68593252 0.7751988 13.659701384
## 1192 -26.16894724 -13.64693535 -19.68593252 0.7751988 13.659701384
## 1193 -20.34644261 9.51782530 -47.16550685 5.4479762 2.727478020
## 1194 -20.34644261 9.51782530 -47.16550685 5.4479762 2.727478020
## 1195 -20.34644261 9.51782530 -47.16550685 5.4479762 2.727478020
## 1196 -20.34644261 9.51782530 -47.16550685 5.4479762 2.727478020
## 1197 -20.34644261 9.51782530 -47.16550685 5.4479762 2.727478020
## 1198 6.42226204 26.77781491 -28.35946782 -1.8096695 4.675327032
## 1199 6.42226204 26.77781491 -28.35946782 -1.8096695 4.675327032
## 1200 6.42226204 26.77781491 -28.35946782 -1.8096695 4.675327032
## 1201 6.42226204 26.77781491 -28.35946782 -1.8096695 4.675327032
## 1202 6.42226204 26.77781491 -28.35946782 -1.8096695 4.675327032
## 1203 -12.62954705 14.23259694 42.86525822 17.5562240 4.680246211
## 1204 -12.62954705 14.23259694 42.86525822 17.5562240 4.680246211
## 1205 -12.62954705 14.23259694 42.86525822 17.5562240 4.680246211
## 1206 -12.62954705 14.23259694 42.86525822 17.5562240 4.680246211
## 1207 -12.62954705 14.23259694 42.86525822 17.5562240 4.680246211
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -3.16446420 24.91254499 -22.16036056 -6.1290900 0.670791315
## 1214 -3.16446420 24.91254499 -22.16036056 -6.1290900 0.670791315
## 1215 -3.16446420 24.91254499 -22.16036056 -6.1290900 0.670791315
## 1216 -3.16446420 24.91254499 -22.16036056 -6.1290900 0.670791315
## 1217 -3.16446420 24.91254499 -22.16036056 -6.1290900 0.670791315
## 1218 -3.73143598 22.96674910 -6.97187412 0.9228551 7.233869076
## 1219 -3.73143598 22.96674910 -6.97187412 0.9228551 7.233869076
## 1220 -3.73143598 22.96674910 -6.97187412 0.9228551 7.233869076
## 1221 -3.73143598 22.96674910 -6.97187412 0.9228551 7.233869076
## 1222 -3.73143598 22.96674910 -6.97187412 0.9228551 7.233869076
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 -8.13129088 14.11492599 4.93961818 15.1082950 -4.710164295
## 1239 -8.13129088 14.11492599 4.93961818 15.1082950 -4.710164295
## 1240 -8.13129088 14.11492599 4.93961818 15.1082950 -4.710164295
## 1241 -8.13129088 14.11492599 4.93961818 15.1082950 -4.710164295
## 1242 -8.13129088 14.11492599 4.93961818 15.1082950 -4.710164295
## 1243 -13.14936589 -9.02173631 5.35469978 34.7153082 -0.144989044
## 1244 -13.14936589 -9.02173631 5.35469978 34.7153082 -0.144989044
## 1245 -13.14936589 -9.02173631 5.35469978 34.7153082 -0.144989044
## 1246 -13.14936589 -9.02173631 5.35469978 34.7153082 -0.144989044
## 1247 -13.14936589 -9.02173631 5.35469978 34.7153082 -0.144989044
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 -19.93325136 -26.78393543 -4.91872057 4.3848328 1.067447245
## 1264 -19.93325136 -26.78393543 -4.91872057 4.3848328 1.067447245
## 1265 -19.93325136 -26.78393543 -4.91872057 4.3848328 1.067447245
## 1266 -19.93325136 -26.78393543 -4.91872057 4.3848328 1.067447245
## 1267 -19.93325136 -26.78393543 -4.91872057 4.3848328 1.067447245
## 1268 2.69567911 1.42583506 -3.43266537 5.2569104 2.927637161
## 1269 2.69567911 1.42583506 -3.43266537 5.2569104 2.927637161
## 1270 2.69567911 1.42583506 -3.43266537 5.2569104 2.927637161
## 1271 2.69567911 1.42583506 -3.43266537 5.2569104 2.927637161
## 1272 2.69567911 1.42583506 -3.43266537 5.2569104 2.927637161
## 1273 2.48290233 -0.49319178 -3.21074274 4.7992826 1.514265018
## 1274 2.48290233 -0.49319178 -3.21074274 4.7992826 1.514265018
## 1275 2.48290233 -0.49319178 -3.21074274 4.7992826 1.514265018
## 1276 2.48290233 -0.49319178 -3.21074274 4.7992826 1.514265018
## 1277 2.48290233 -0.49319178 -3.21074274 4.7992826 1.514265018
## 1278 2.77015303 6.85511876 0.28327360 0.1573464 -1.193742902
## 1279 2.77015303 6.85511876 0.28327360 0.1573464 -1.193742902
## 1280 2.77015303 6.85511876 0.28327360 0.1573464 -1.193742902
## 1281 2.77015303 6.85511876 0.28327360 0.1573464 -1.193742902
## 1282 2.77015303 6.85511876 0.28327360 0.1573464 -1.193742902
## 1283 1.13944773 5.36407527 3.81280594 70.6540246 0.181794719
## 1284 1.13944773 5.36407527 3.81280594 70.6540246 0.181794719
## 1285 1.13944773 5.36407527 3.81280594 70.6540246 0.181794719
## 1286 1.13944773 5.36407527 3.81280594 70.6540246 0.181794719
## 1287 1.13944773 5.36407527 3.81280594 70.6540246 0.181794719
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 2.26136197 8.50157393 -7.62405521 2.4467886 -30.513756912
## 1299 2.26136197 8.50157393 -7.62405521 2.4467886 -30.513756912
## 1300 2.26136197 8.50157393 -7.62405521 2.4467886 -30.513756912
## 1301 2.26136197 8.50157393 -7.62405521 2.4467886 -30.513756912
## 1302 2.26136197 8.50157393 -7.62405521 2.4467886 -30.513756912
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 -2.44119238 -0.36314288 -6.44402378 -10.8581566 1.197651688
## 1314 -2.44119238 -0.36314288 -6.44402378 -10.8581566 1.197651688
## 1315 -2.44119238 -0.36314288 -6.44402378 -10.8581566 1.197651688
## 1316 -2.44119238 -0.36314288 -6.44402378 -10.8581566 1.197651688
## 1317 -2.44119238 -0.36314288 -6.44402378 -10.8581566 1.197651688
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 1.87768141 -3.53679188 -0.41521637 0.6818437 11.126468632
## 1364 1.87768141 -3.53679188 -0.41521637 0.6818437 11.126468632
## 1365 1.87768141 -3.53679188 -0.41521637 0.6818437 11.126468632
## 1366 1.87768141 -3.53679188 -0.41521637 0.6818437 11.126468632
## 1367 1.87768141 -3.53679188 -0.41521637 0.6818437 11.126468632
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 6.90646001 3.38752300 4.99622560 0.6560585 31.711547137
## 1379 6.90646001 3.38752300 4.99622560 0.6560585 31.711547137
## 1380 6.90646001 3.38752300 4.99622560 0.6560585 31.711547137
## 1381 6.90646001 3.38752300 4.99622560 0.6560585 31.711547137
## 1382 6.90646001 3.38752300 4.99622560 0.6560585 31.711547137
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 4.12644764 0.56604842 7.78849634 4.4472264 -13.907289631
## 1389 4.12644764 0.56604842 7.78849634 4.4472264 -13.907289631
## 1390 4.12644764 0.56604842 7.78849634 4.4472264 -13.907289631
## 1391 4.12644764 0.56604842 7.78849634 4.4472264 -13.907289631
## 1392 4.12644764 0.56604842 7.78849634 4.4472264 -13.907289631
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 40.27810533 -56.90650294 4.98267814 0.4222261 -3.263796143
## 1414 40.27810533 -56.90650294 4.98267814 0.4222261 -3.263796143
## 1415 40.27810533 -56.90650294 4.98267814 0.4222261 -3.263796143
## 1416 40.27810533 -56.90650294 4.98267814 0.4222261 -3.263796143
## 1417 40.27810533 -56.90650294 4.98267814 0.4222261 -3.263796143
## 1418 4.27229422 -8.82169047 0.77137598 -1.3223892 3.798186182
## 1419 4.27229422 -8.82169047 0.77137598 -1.3223892 3.798186182
## 1420 4.27229422 -8.82169047 0.77137598 -1.3223892 3.798186182
## 1421 4.27229422 -8.82169047 0.77137598 -1.3223892 3.798186182
## 1422 4.27229422 -8.82169047 0.77137598 -1.3223892 3.798186182
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 9.69452234 -21.32648933 -4.37882028 5.7332189 -23.151192269
## 1429 9.69452234 -21.32648933 -4.37882028 5.7332189 -23.151192269
## 1430 9.69452234 -21.32648933 -4.37882028 5.7332189 -23.151192269
## 1431 9.69452234 -21.32648933 -4.37882028 5.7332189 -23.151192269
## 1432 9.69452234 -21.32648933 -4.37882028 5.7332189 -23.151192269
## 1433 3.14352846 17.71974618 17.34378292 7.0796778 1.167253594
## 1434 3.14352846 17.71974618 17.34378292 7.0796778 1.167253594
## 1435 3.14352846 17.71974618 17.34378292 7.0796778 1.167253594
## 1436 3.14352846 17.71974618 17.34378292 7.0796778 1.167253594
## 1437 3.14352846 17.71974618 17.34378292 7.0796778 1.167253594
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 2.76245901 5.35641961 17.50752217 16.7350441 -4.339959322
## 1444 2.76245901 5.35641961 17.50752217 16.7350441 -4.339959322
## 1445 2.76245901 5.35641961 17.50752217 16.7350441 -4.339959322
## 1446 2.76245901 5.35641961 17.50752217 16.7350441 -4.339959322
## 1447 2.76245901 5.35641961 17.50752217 16.7350441 -4.339959322
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -3.82522495 5.98772640 -1.34475980 7.1533620 -54.537183700
## 1464 -3.82522495 5.98772640 -1.34475980 7.1533620 -54.537183700
## 1465 -3.82522495 5.98772640 -1.34475980 7.1533620 -54.537183700
## 1466 -3.82522495 5.98772640 -1.34475980 7.1533620 -54.537183700
## 1467 -3.82522495 5.98772640 -1.34475980 7.1533620 -54.537183700
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 -4.48686599 -10.44738768 -3.22017001 1.6970061 -25.703936651
## 1489 -4.48686599 -10.44738768 -3.22017001 1.6970061 -25.703936651
## 1490 -4.48686599 -10.44738768 -3.22017001 1.6970061 -25.703936651
## 1491 -4.48686599 -10.44738768 -3.22017001 1.6970061 -25.703936651
## 1492 -4.48686599 -10.44738768 -3.22017001 1.6970061 -25.703936651
## 1493 -0.13048823 8.41326762 -17.28419478 9.1348744 5.644599292
## 1494 -0.13048823 8.41326762 -17.28419478 9.1348744 5.644599292
## 1495 -0.13048823 8.41326762 -17.28419478 9.1348744 5.644599292
## 1496 -0.13048823 8.41326762 -17.28419478 9.1348744 5.644599292
## 1497 -0.13048823 8.41326762 -17.28419478 9.1348744 5.644599292
## 1498 5.48250733 -22.05521966 -10.66118346 4.4002170 6.454105913
## 1499 5.48250733 -22.05521966 -10.66118346 4.4002170 6.454105913
## 1500 5.48250733 -22.05521966 -10.66118346 4.4002170 6.454105913
## 1501 5.48250733 -22.05521966 -10.66118346 4.4002170 6.454105913
## 1502 5.48250733 -22.05521966 -10.66118346 4.4002170 6.454105913
## 1503 7.95691042 -19.04913666 0.82552509 4.6590045 4.025288938
## 1504 7.95691042 -19.04913666 0.82552509 4.6590045 4.025288938
## 1505 7.95691042 -19.04913666 0.82552509 4.6590045 4.025288938
## 1506 7.95691042 -19.04913666 0.82552509 4.6590045 4.025288938
## 1507 7.95691042 -19.04913666 0.82552509 4.6590045 4.025288938
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 0.25938516 -9.24057332 -0.10063666 -0.9455082 15.529163155
## 1529 0.25938516 -9.24057332 -0.10063666 -0.9455082 15.529163155
## 1530 0.25938516 -9.24057332 -0.10063666 -0.9455082 15.529163155
## 1531 0.25938516 -9.24057332 -0.10063666 -0.9455082 15.529163155
## 1532 0.25938516 -9.24057332 -0.10063666 -0.9455082 15.529163155
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC30_score PC64_score PC59_score PC34_score PC57_score
## 1 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 2 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 3 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 4 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 5 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 6 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 7 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 8 7.60099827 -16.68235043 14.84506111 -10.1663986 21.37131185
## 9 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 10 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 11 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 12 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 13 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 14 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 15 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 16 -1.67762151 10.00705078 3.74121019 -4.9311189 1.17137076
## 17 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 18 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 19 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 20 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 21 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 22 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 23 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 24 26.38077382 -1.22570995 6.89815238 -19.9496865 -17.96827639
## 25 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 26 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 27 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 28 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 29 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 30 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 31 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 32 3.26052866 15.43692167 -17.41444905 -19.0077680 5.99217227
## 33 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 34 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 35 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 36 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 37 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 38 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 39 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 40 1.77626680 13.73176508 -31.01145326 -13.1205057 -15.00913033
## 41 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 42 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 43 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 44 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 45 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 46 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 47 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 48 1.28039791 -16.93016206 -1.77289942 -6.2006345 -0.87062588
## 49 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 50 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 51 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 52 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 53 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 54 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 55 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 56 1.36808093 -0.19898030 1.25716761 0.9183232 -5.54931946
## 57 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 58 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 59 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 60 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 61 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 62 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 63 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 64 0.05666564 1.12438224 -6.55125146 -5.5113879 -14.04661434
## 65 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 66 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 67 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 68 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 69 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 70 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 71 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 72 13.87266970 -10.37630039 -20.98196238 8.5959023 -26.21044172
## 73 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 74 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 75 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 76 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 77 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 78 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 79 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 80 18.63111845 18.94555109 -2.16024871 8.3258859 65.70464145
## 81 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 82 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 83 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 84 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 85 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 86 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 87 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 88 4.17529860 9.87040261 -13.71804208 1.1579420 -4.43443653
## 89 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 90 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 91 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 92 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 93 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 94 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 95 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 96 10.99263888 -6.13699077 5.60583255 -30.0228853 -13.08609373
## 97 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 98 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 99 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 100 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 101 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 102 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 103 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 104 2.86664791 2.18690508 27.45085583 -20.5430781 36.72812483
## 105 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 106 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 107 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 108 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 109 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 110 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 111 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 112 7.56268247 6.46427783 3.62593653 2.1122121 13.81871113
## 113 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 114 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 115 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 116 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 117 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 118 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 119 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 120 -4.65550050 -5.31428278 3.66397897 -3.5506251 4.40418944
## 121 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 122 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 123 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 124 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 125 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 126 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 127 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 128 3.99434274 4.58364851 7.03055527 -4.0690565 -8.24297368
## 129 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 130 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 131 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 132 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 133 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 134 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 135 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 136 0.98420396 -27.64288392 -19.90529254 -7.7931313 -25.83785469
## 137 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 138 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 139 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 140 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 141 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 142 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 143 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 144 0.34935745 5.85226251 2.48277775 0.2871137 -2.94441032
## 145 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 146 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 147 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 148 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 149 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 150 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 151 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 152 2.66662511 -49.40071850 7.45212426 2.8907992 28.24968433
## 153 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 154 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 155 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 156 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 157 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 158 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 159 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 160 -0.43538340 3.77664424 -1.92063381 8.8040757 -1.77623274
## 161 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 162 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 163 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 164 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 165 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 166 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 167 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 168 -3.85437340 -9.21733317 6.52666964 6.1899071 -10.48260279
## 169 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 170 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 171 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 172 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 173 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 174 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 175 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 176 1.08264428 -2.92277346 -1.07843406 -5.8907443 0.91670749
## 177 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 178 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 179 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 180 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 181 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 182 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 183 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 184 0.36022947 -0.07989053 -2.25345720 -3.8561446 0.04942206
## 185 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 186 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 187 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 188 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 189 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 190 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 191 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 192 4.58393471 -2.76381881 -0.18388625 4.0725814 -4.76128393
## 193 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 194 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 195 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 196 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 197 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 198 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 199 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 200 -5.87264713 37.92037816 2.69179371 6.7277218 -14.46790284
## 201 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 202 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 203 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 204 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 205 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 206 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 207 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 208 -81.34049679 1.78959451 -2.85049128 0.9313960 -4.10346253
## 209 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 210 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 211 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 212 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 213 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 214 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 215 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 216 3.32848948 -1.24222128 0.31249062 7.0408444 -1.14802546
## 217 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 218 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 219 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 220 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 221 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 222 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 223 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 224 3.39347702 0.52901519 -0.41011539 -2.9276008 -0.20540833
## 225 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 226 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 227 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 228 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 229 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 230 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 231 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 232 1.33396261 2.78248653 -0.51866569 2.2187668 1.72871837
## 233 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 234 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 235 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 236 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 237 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 238 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 239 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 240 -10.18092244 -5.25261897 -4.38949309 5.8738030 -6.11037955
## 241 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 242 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 243 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 244 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 245 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 246 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 247 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 248 7.79860306 30.07240014 16.48120843 6.6227403 -35.60360271
## 249 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 250 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 251 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 252 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 253 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 254 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 255 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 256 4.10329155 8.24540765 6.15107271 3.2804483 6.07800189
## 257 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 258 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 259 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 260 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 261 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 262 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 263 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 264 -1.90016258 -8.84403285 -0.45612165 1.4928851 -0.71068039
## 265 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 266 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 267 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 268 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 269 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 270 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 271 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 272 -25.40586133 10.59753042 9.99141484 1.3692873 13.30670487
## 273 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 274 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 275 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 276 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 277 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 278 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 279 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 280 33.38980236 18.17247080 -15.11967727 -5.9661506 -30.46054713
## 281 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 282 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 283 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 284 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 285 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 286 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 287 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 288 11.87041487 -0.32817706 -16.56485743 -1.9464970 20.28287271
## 289 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 290 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 291 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 292 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 293 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 294 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 295 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 296 -2.91618946 6.75603608 3.82170837 -7.7056240 10.95395453
## 297 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 298 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 299 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 300 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 301 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 302 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 303 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 304 9.19894163 -3.57498470 6.55137836 -4.3533539 7.89535828
## 305 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 306 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 307 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 308 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 309 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 310 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 311 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 312 0.79489017 2.12517755 1.84630000 0.6317756 6.64635224
## 313 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 314 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 315 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 316 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 317 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 318 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 319 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 320 -14.41716418 -2.48559883 -1.16605358 -0.2805042 -7.40381137
## 321 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 322 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 323 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 324 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 325 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 326 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 327 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 328 13.63827422 5.04222648 -1.73336906 -2.4205965 -4.68359721
## 329 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 330 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 331 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 332 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 333 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 334 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 335 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 336 7.68986766 -13.01209295 0.99990529 -5.1079940 -1.08022509
## 337 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 338 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 339 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 340 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 341 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 342 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 343 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 344 -49.35149586 9.35559538 8.38668972 -26.8293439 -8.38732558
## 345 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 346 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 347 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 348 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 349 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 350 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 351 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 352 39.25330103 2.97300203 -1.47634115 80.5533141 7.29333275
## 353 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 354 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 355 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 356 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 357 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 358 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 359 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 360 1.29943160 -44.86421121 -1.22520313 -4.9079139 1.19632426
## 361 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 362 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 363 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 364 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 365 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 366 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 367 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 368 4.73902858 1.65890108 -0.54318256 -11.4308911 0.37285497
## 369 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 370 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 371 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 372 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 373 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 374 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 375 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 376 -7.09570599 -21.42559083 8.02123085 3.9483010 -6.46153015
## 377 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 378 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 379 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 380 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 381 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 382 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 383 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 384 6.69783216 -23.28747877 2.13541015 0.4242431 -19.14069980
## 385 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 386 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 387 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 388 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 389 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 390 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 391 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 392 -0.51691171 -7.53086231 4.97013088 -0.2526233 -2.76562877
## 393 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 394 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 395 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 396 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 397 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 398 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 399 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 400 0.55051587 -0.21696991 3.59369403 -1.0416293 0.36303999
## 401 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 402 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 403 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 404 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 405 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 406 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 407 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 408 -1.07932100 -2.22775600 16.58860211 22.5913156 0.99628752
## 409 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 410 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 411 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 412 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 413 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 414 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 415 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 416 7.99030325 3.04868690 -19.67196727 18.5385098 -23.33678899
## 417 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 418 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 419 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 420 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 421 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 422 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 423 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 424 0.63128422 -10.13000647 3.88298854 0.8804562 -7.37966690
## 425 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 426 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 427 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 428 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 429 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 430 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 431 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 432 -6.60208315 1.95336356 16.46942901 17.8569450 -14.20066902
## 433 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 434 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 435 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 436 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 437 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 438 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 439 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 440 1.50828570 -5.29381632 15.96673545 -4.7967328 12.57717411
## 441 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 442 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 443 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 444 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 445 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 446 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 447 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 448 -4.22320645 -3.40891330 0.50552674 4.5217571 -5.51414005
## 449 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 450 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 451 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 452 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 453 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 454 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 455 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 456 1.66984485 -4.35724775 -0.07282245 -0.2479463 5.42381977
## 457 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 458 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 459 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 460 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 461 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 462 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 463 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 464 0.19298306 -7.03398137 7.95692573 -10.5655869 10.79924353
## 465 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 466 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 467 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 468 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 469 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 470 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 471 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 472 -4.43165863 13.66532749 -25.86823450 -8.9069828 -9.28575191
## 473 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 474 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 475 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 476 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 477 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 478 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 479 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 480 -23.96012703 0.94298517 2.00009700 -5.0096152 -2.53261057
## 481 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 482 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 483 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 484 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 485 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 486 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 487 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 488 9.79201788 -0.13789337 -5.25251085 9.5127303 -4.15728238
## 489 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 490 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 491 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 492 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 493 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 494 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 495 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 496 -5.32333114 6.19972582 2.90807419 3.7234446 2.39789496
## 497 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 498 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 499 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 500 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 501 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 502 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 503 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 504 -1.46483031 -15.18021659 2.64692900 -4.9967913 -0.94527540
## 505 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 506 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 507 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 508 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 509 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 510 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 511 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 512 0.96133485 5.03393246 -2.95236788 -14.5665216 1.33542238
## 513 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 514 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 515 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 516 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 517 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 518 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 519 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 520 -3.79292730 0.76533447 -0.20642354 4.4195776 2.34652187
## 521 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 522 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 523 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 524 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 525 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 526 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 527 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 528 -14.38301622 19.48791443 -9.42650261 1.3783103 6.70795216
## 529 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 530 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 531 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 532 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 533 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 534 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 535 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 536 8.83288564 -7.21277836 2.65774208 21.8633646 11.24298684
## 537 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 538 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 539 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 540 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 541 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 542 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 543 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 544 4.36748341 28.30009071 -7.68211628 -3.9658929 49.75892913
## 545 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 546 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 547 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 548 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 549 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 550 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 551 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 552 1.06261024 1.83841445 -8.11707398 3.2461201 1.56467690
## 553 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 554 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 555 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 556 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 557 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 558 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 559 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 560 -38.67017843 10.08318617 -8.63997438 29.1310384 10.42907097
## 561 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 562 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 563 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 564 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 565 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 566 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 567 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 568 5.11834404 8.50854005 14.23582536 2.2966405 -3.52923263
## 569 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 570 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 571 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 572 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 573 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 574 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 575 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 576 3.61827399 2.48714246 7.25404534 -2.5334822 2.39858077
## 577 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 578 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 579 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 580 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 581 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 582 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 583 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 584 -0.10870739 4.70528711 22.37296123 -1.6503320 1.43888397
## 585 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 586 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 587 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 588 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 589 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 590 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 591 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 592 -7.60142226 0.51773600 -0.74505021 -4.1956019 0.17234644
## 593 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 594 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 595 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 596 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 597 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 598 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 599 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 600 2.09935918 3.89574240 3.66303940 0.7136729 -4.07369914
## 601 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 602 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 603 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 604 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 605 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 606 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 607 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 608 1.26483112 0.66517088 -4.57569011 3.7491786 5.42739448
## 609 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 610 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 611 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 612 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 613 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 614 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 615 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 616 2.23103258 1.30228301 1.50366654 0.1079149 5.46950767
## 617 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 618 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 619 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 620 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 621 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 622 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 623 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 624 -7.37500021 -24.60756680 54.04226069 8.4232050 -19.49062451
## 625 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 626 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 627 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 628 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 629 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 630 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 631 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 632 -15.31615580 -29.13455174 -67.61214427 5.5141795 4.91394189
## 633 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 634 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 635 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 636 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 637 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 638 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 639 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 640 -0.05350021 -9.97076608 5.59691645 2.9660962 7.90223882
## 641 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 642 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 643 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 644 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 645 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 646 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 647 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 648 -9.22534910 -1.49478696 -3.02914282 10.4935553 -3.20362079
## 649 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 650 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 651 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 652 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 653 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 654 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 655 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 656 -2.22426074 -19.83120324 -35.94384489 0.6771519 18.57232990
## 657 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 658 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 659 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 660 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 661 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 662 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 663 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 664 -7.10079270 13.79435081 16.02620378 -15.9839894 -11.88406906
## 665 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 666 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 667 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 668 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 669 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 670 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 671 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 672 9.85316493 0.33290950 0.48556750 -5.3707453 4.68881792
## 673 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 674 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 675 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 676 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 677 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 678 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 679 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 680 3.47834945 -2.53438973 -4.47816131 3.5755996 3.75452826
## 681 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 682 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 683 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 684 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 685 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 686 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 687 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 688 11.59265426 5.71877655 -1.36942568 17.3650547 -5.09979377
## 689 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 690 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 691 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 692 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 693 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 694 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 695 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 696 2.29974595 3.00829297 5.49121090 -2.1290968 -4.47720042
## 697 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 698 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 699 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 700 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 701 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 702 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 703 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 704 15.29941313 -2.07310351 -1.60998476 -23.9535871 2.39645807
## 705 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 706 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 707 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 708 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 709 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 710 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 711 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 712 1.69706070 -2.88458865 0.12545461 -0.4657393 -0.56028503
## 713 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 714 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 715 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 716 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 717 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 718 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 719 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 720 2.90061544 6.96269739 1.23875434 -2.4484759 7.08470576
## 721 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 722 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 723 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 724 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 725 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 726 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 727 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 728 -11.69042630 -12.95702608 -16.69681757 -3.3503523 -5.44546937
## 729 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 730 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 731 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 732 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 733 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 734 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 735 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 736 -8.13903628 0.64239652 1.09021779 0.9757445 -2.60440552
## 737 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 738 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 739 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 740 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 741 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 742 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 743 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 744 -2.28255288 21.66475946 -2.90893543 6.6646034 1.18102045
## 745 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 746 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 747 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 748 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 749 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 750 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 751 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 752 0.99401613 9.61002785 0.86101052 6.9405961 -4.53767573
## 753 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 754 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 755 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 756 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 757 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 758 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 759 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 760 -4.31109313 5.98765395 -1.77462985 6.7449550 -0.16358555
## 761 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 762 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 763 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 764 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 765 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 766 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 767 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 768 3.88353347 27.16852646 22.13624875 3.6318935 -14.28180987
## 769 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 770 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 771 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 772 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 773 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 774 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 775 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 776 -3.20020671 2.77388870 4.68858816 1.0707755 8.36080051
## 777 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 778 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 779 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 780 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 781 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 782 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 783 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 784 10.98706529 -0.15987221 -7.03199341 -7.9609431 -6.72011189
## 785 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 786 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 787 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 788 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 789 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 790 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 791 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 792 -2.02767656 -2.39112743 -1.41553405 2.8249534 1.64058319
## 793 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 794 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 795 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 796 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 797 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 798 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 799 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 800 -42.26820201 6.08515121 -1.46012599 22.1362733 8.61653231
## 801 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 802 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 803 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 804 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 805 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 806 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 807 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 808 7.39332581 2.85493192 0.44277753 1.3401825 -3.18020192
## 809 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 810 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 811 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 812 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 813 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 814 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 815 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 816 4.61215167 11.11354759 -11.15495552 -1.2520652 -2.76474115
## 817 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 818 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 819 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 820 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 821 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 822 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 823 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 824 -1.13825357 -2.87248086 -0.78582591 -1.9294717 1.33995816
## 825 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 826 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 827 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 828 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 829 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 830 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 831 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 832 1.45526018 -1.54021487 -3.10498425 -45.3963364 6.30046703
## 833 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 834 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 835 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 836 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 837 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 838 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 839 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 840 2.39311616 -9.13041969 3.72768936 -6.5099214 3.50850987
## 841 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 842 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 843 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 844 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 845 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 846 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 847 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 848 3.95396774 -20.17018357 29.79429276 -3.3757996 -6.19445448
## 849 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 850 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 851 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 852 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 853 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 854 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 855 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 856 33.18190418 10.98799664 -6.23070290 -41.0604703 2.36365639
## 857 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 858 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 859 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 860 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 861 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 862 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 863 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 864 8.58068864 -4.51655521 2.10353198 41.9871453 -5.95098630
## 865 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 866 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 867 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 868 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 869 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 870 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 871 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 872 1.73288719 1.19567530 1.98598012 -0.4040781 3.52193064
## 873 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 874 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 875 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 876 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 877 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 878 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 879 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 880 -1.16887040 -0.26270672 2.23717100 -11.0906933 -2.49785275
## 881 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 882 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 883 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 884 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 885 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 886 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 887 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 888 1.54002325 2.33464531 4.60735299 0.5991684 -1.09188129
## 889 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 890 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 891 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 892 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 893 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 894 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 895 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 896 5.61787612 -11.35173388 -3.45204447 8.4861036 3.22845504
## 897 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 898 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 899 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 900 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 901 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 902 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 903 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 904 -5.83351498 -2.91765007 1.09776740 4.5683311 -3.14003008
## 905 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 906 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 907 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 908 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 909 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 910 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 911 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 912 -3.09778611 21.10344629 -16.25076571 -2.0856750 -2.18843824
## 913 2.31142985 -1.92503589 0.77593936 -0.5789853 1.37880360
## 914 2.31142985 -1.92503589 0.77593936 -0.5789853 1.37880360
## 915 2.31142985 -1.92503589 0.77593936 -0.5789853 1.37880360
## 916 2.31142985 -1.92503589 0.77593936 -0.5789853 1.37880360
## 917 2.31142985 -1.92503589 0.77593936 -0.5789853 1.37880360
## 918 6.79883997 -6.16739774 0.07407594 -2.8785800 1.40638525
## 919 6.79883997 -6.16739774 0.07407594 -2.8785800 1.40638525
## 920 6.79883997 -6.16739774 0.07407594 -2.8785800 1.40638525
## 921 6.79883997 -6.16739774 0.07407594 -2.8785800 1.40638525
## 922 6.79883997 -6.16739774 0.07407594 -2.8785800 1.40638525
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 13.68414931 1.00895697 0.91665835 6.8452417 3.37462917
## 939 13.68414931 1.00895697 0.91665835 6.8452417 3.37462917
## 940 13.68414931 1.00895697 0.91665835 6.8452417 3.37462917
## 941 13.68414931 1.00895697 0.91665835 6.8452417 3.37462917
## 942 13.68414931 1.00895697 0.91665835 6.8452417 3.37462917
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 9.08974328 12.35603719 -5.59808065 15.6502359 -38.97689595
## 954 9.08974328 12.35603719 -5.59808065 15.6502359 -38.97689595
## 955 9.08974328 12.35603719 -5.59808065 15.6502359 -38.97689595
## 956 9.08974328 12.35603719 -5.59808065 15.6502359 -38.97689595
## 957 9.08974328 12.35603719 -5.59808065 15.6502359 -38.97689595
## 958 0.37882069 0.23277122 -1.86815831 3.8939352 2.73359499
## 959 0.37882069 0.23277122 -1.86815831 3.8939352 2.73359499
## 960 0.37882069 0.23277122 -1.86815831 3.8939352 2.73359499
## 961 0.37882069 0.23277122 -1.86815831 3.8939352 2.73359499
## 962 0.37882069 0.23277122 -1.86815831 3.8939352 2.73359499
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 -38.85126456 0.18801720 -2.13181450 56.9841976 8.88242633
## 974 -38.85126456 0.18801720 -2.13181450 56.9841976 8.88242633
## 975 -38.85126456 0.18801720 -2.13181450 56.9841976 8.88242633
## 976 -38.85126456 0.18801720 -2.13181450 56.9841976 8.88242633
## 977 -38.85126456 0.18801720 -2.13181450 56.9841976 8.88242633
## 978 7.41375402 3.98274563 -31.81202891 -2.0805547 -19.31710317
## 979 7.41375402 3.98274563 -31.81202891 -2.0805547 -19.31710317
## 980 7.41375402 3.98274563 -31.81202891 -2.0805547 -19.31710317
## 981 7.41375402 3.98274563 -31.81202891 -2.0805547 -19.31710317
## 982 7.41375402 3.98274563 -31.81202891 -2.0805547 -19.31710317
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -3.65357294 2.25987728 0.88862244 -13.2186338 -2.50523069
## 994 -3.65357294 2.25987728 0.88862244 -13.2186338 -2.50523069
## 995 -3.65357294 2.25987728 0.88862244 -13.2186338 -2.50523069
## 996 -3.65357294 2.25987728 0.88862244 -13.2186338 -2.50523069
## 997 -3.65357294 2.25987728 0.88862244 -13.2186338 -2.50523069
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 21.75241887 22.78086614 31.70402318 19.6881209 29.32293192
## 1009 21.75241887 22.78086614 31.70402318 19.6881209 29.32293192
## 1010 21.75241887 22.78086614 31.70402318 19.6881209 29.32293192
## 1011 21.75241887 22.78086614 31.70402318 19.6881209 29.32293192
## 1012 21.75241887 22.78086614 31.70402318 19.6881209 29.32293192
## 1013 -11.26979823 4.46754927 0.08795355 -23.3987623 0.98145356
## 1014 -11.26979823 4.46754927 0.08795355 -23.3987623 0.98145356
## 1015 -11.26979823 4.46754927 0.08795355 -23.3987623 0.98145356
## 1016 -11.26979823 4.46754927 0.08795355 -23.3987623 0.98145356
## 1017 -11.26979823 4.46754927 0.08795355 -23.3987623 0.98145356
## 1018 -21.87167601 -1.36540939 -9.69110569 -6.0893022 -21.72393732
## 1019 -21.87167601 -1.36540939 -9.69110569 -6.0893022 -21.72393732
## 1020 -21.87167601 -1.36540939 -9.69110569 -6.0893022 -21.72393732
## 1021 -21.87167601 -1.36540939 -9.69110569 -6.0893022 -21.72393732
## 1022 -21.87167601 -1.36540939 -9.69110569 -6.0893022 -21.72393732
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 6.22088451 2.74783379 -1.13412857 5.1397878 -2.99081890
## 1034 6.22088451 2.74783379 -1.13412857 5.1397878 -2.99081890
## 1035 6.22088451 2.74783379 -1.13412857 5.1397878 -2.99081890
## 1036 6.22088451 2.74783379 -1.13412857 5.1397878 -2.99081890
## 1037 6.22088451 2.74783379 -1.13412857 5.1397878 -2.99081890
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -62.88892285 2.27913892 -1.58633608 32.4333006 -1.84134922
## 1069 -62.88892285 2.27913892 -1.58633608 32.4333006 -1.84134922
## 1070 -62.88892285 2.27913892 -1.58633608 32.4333006 -1.84134922
## 1071 -62.88892285 2.27913892 -1.58633608 32.4333006 -1.84134922
## 1072 -62.88892285 2.27913892 -1.58633608 32.4333006 -1.84134922
## 1073 72.03392503 9.41347371 -14.43904249 12.5251011 12.66726461
## 1074 72.03392503 9.41347371 -14.43904249 12.5251011 12.66726461
## 1075 72.03392503 9.41347371 -14.43904249 12.5251011 12.66726461
## 1076 72.03392503 9.41347371 -14.43904249 12.5251011 12.66726461
## 1077 72.03392503 9.41347371 -14.43904249 12.5251011 12.66726461
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 25.90633166 -27.90818779 27.30049368 13.1847054 -36.20874989
## 1084 25.90633166 -27.90818779 27.30049368 13.1847054 -36.20874989
## 1085 25.90633166 -27.90818779 27.30049368 13.1847054 -36.20874989
## 1086 25.90633166 -27.90818779 27.30049368 13.1847054 -36.20874989
## 1087 25.90633166 -27.90818779 27.30049368 13.1847054 -36.20874989
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -6.68481376 20.89959797 3.54977817 7.3935337 0.50174384
## 1094 -6.68481376 20.89959797 3.54977817 7.3935337 0.50174384
## 1095 -6.68481376 20.89959797 3.54977817 7.3935337 0.50174384
## 1096 -6.68481376 20.89959797 3.54977817 7.3935337 0.50174384
## 1097 -6.68481376 20.89959797 3.54977817 7.3935337 0.50174384
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 3.48739611 -6.52012439 0.79680154 2.8876731 -4.23229669
## 1104 3.48739611 -6.52012439 0.79680154 2.8876731 -4.23229669
## 1105 3.48739611 -6.52012439 0.79680154 2.8876731 -4.23229669
## 1106 3.48739611 -6.52012439 0.79680154 2.8876731 -4.23229669
## 1107 3.48739611 -6.52012439 0.79680154 2.8876731 -4.23229669
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 18.15988474 -29.12757553 2.03935506 8.8952564 -38.83000001
## 1114 18.15988474 -29.12757553 2.03935506 8.8952564 -38.83000001
## 1115 18.15988474 -29.12757553 2.03935506 8.8952564 -38.83000001
## 1116 18.15988474 -29.12757553 2.03935506 8.8952564 -38.83000001
## 1117 18.15988474 -29.12757553 2.03935506 8.8952564 -38.83000001
## 1118 2.17217119 1.47636613 -5.79191655 -34.8298645 45.55167074
## 1119 2.17217119 1.47636613 -5.79191655 -34.8298645 45.55167074
## 1120 2.17217119 1.47636613 -5.79191655 -34.8298645 45.55167074
## 1121 2.17217119 1.47636613 -5.79191655 -34.8298645 45.55167074
## 1122 2.17217119 1.47636613 -5.79191655 -34.8298645 45.55167074
## 1123 16.11311698 43.48893266 -9.84453420 8.4149898 33.12228941
## 1124 16.11311698 43.48893266 -9.84453420 8.4149898 33.12228941
## 1125 16.11311698 43.48893266 -9.84453420 8.4149898 33.12228941
## 1126 16.11311698 43.48893266 -9.84453420 8.4149898 33.12228941
## 1127 16.11311698 43.48893266 -9.84453420 8.4149898 33.12228941
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 -8.77634151 8.33375843 -24.16834593 -17.1683617 15.67858618
## 1134 -8.77634151 8.33375843 -24.16834593 -17.1683617 15.67858618
## 1135 -8.77634151 8.33375843 -24.16834593 -17.1683617 15.67858618
## 1136 -8.77634151 8.33375843 -24.16834593 -17.1683617 15.67858618
## 1137 -8.77634151 8.33375843 -24.16834593 -17.1683617 15.67858618
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 30.85610311 -2.69071954 -12.62215052 -20.6987657 -0.07073885
## 1144 30.85610311 -2.69071954 -12.62215052 -20.6987657 -0.07073885
## 1145 30.85610311 -2.69071954 -12.62215052 -20.6987657 -0.07073885
## 1146 30.85610311 -2.69071954 -12.62215052 -20.6987657 -0.07073885
## 1147 30.85610311 -2.69071954 -12.62215052 -20.6987657 -0.07073885
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 8.10317823 -20.32870180 -10.76424101 15.6817850 35.92056067
## 1154 8.10317823 -20.32870180 -10.76424101 15.6817850 35.92056067
## 1155 8.10317823 -20.32870180 -10.76424101 15.6817850 35.92056067
## 1156 8.10317823 -20.32870180 -10.76424101 15.6817850 35.92056067
## 1157 8.10317823 -20.32870180 -10.76424101 15.6817850 35.92056067
## 1158 3.85974344 -37.58095472 -8.55969068 -1.5713603 27.33350612
## 1159 3.85974344 -37.58095472 -8.55969068 -1.5713603 27.33350612
## 1160 3.85974344 -37.58095472 -8.55969068 -1.5713603 27.33350612
## 1161 3.85974344 -37.58095472 -8.55969068 -1.5713603 27.33350612
## 1162 3.85974344 -37.58095472 -8.55969068 -1.5713603 27.33350612
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 12.58103081 -6.92116776 69.15138416 -11.9091345 -23.40430569
## 1189 12.58103081 -6.92116776 69.15138416 -11.9091345 -23.40430569
## 1190 12.58103081 -6.92116776 69.15138416 -11.9091345 -23.40430569
## 1191 12.58103081 -6.92116776 69.15138416 -11.9091345 -23.40430569
## 1192 12.58103081 -6.92116776 69.15138416 -11.9091345 -23.40430569
## 1193 -38.32232832 -2.49463981 13.06399873 -30.9613450 1.15254988
## 1194 -38.32232832 -2.49463981 13.06399873 -30.9613450 1.15254988
## 1195 -38.32232832 -2.49463981 13.06399873 -30.9613450 1.15254988
## 1196 -38.32232832 -2.49463981 13.06399873 -30.9613450 1.15254988
## 1197 -38.32232832 -2.49463981 13.06399873 -30.9613450 1.15254988
## 1198 -1.97598963 -19.20198722 -13.45267477 22.4224489 10.57066215
## 1199 -1.97598963 -19.20198722 -13.45267477 22.4224489 10.57066215
## 1200 -1.97598963 -19.20198722 -13.45267477 22.4224489 10.57066215
## 1201 -1.97598963 -19.20198722 -13.45267477 22.4224489 10.57066215
## 1202 -1.97598963 -19.20198722 -13.45267477 22.4224489 10.57066215
## 1203 16.57396445 13.50491527 -19.04736106 -16.3492131 12.27376776
## 1204 16.57396445 13.50491527 -19.04736106 -16.3492131 12.27376776
## 1205 16.57396445 13.50491527 -19.04736106 -16.3492131 12.27376776
## 1206 16.57396445 13.50491527 -19.04736106 -16.3492131 12.27376776
## 1207 16.57396445 13.50491527 -19.04736106 -16.3492131 12.27376776
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 6.94779298 -9.53607851 0.97561325 -22.6613985 -31.70721883
## 1214 6.94779298 -9.53607851 0.97561325 -22.6613985 -31.70721883
## 1215 6.94779298 -9.53607851 0.97561325 -22.6613985 -31.70721883
## 1216 6.94779298 -9.53607851 0.97561325 -22.6613985 -31.70721883
## 1217 6.94779298 -9.53607851 0.97561325 -22.6613985 -31.70721883
## 1218 5.49970227 36.34490963 19.78721361 4.2084627 6.19572920
## 1219 5.49970227 36.34490963 19.78721361 4.2084627 6.19572920
## 1220 5.49970227 36.34490963 19.78721361 4.2084627 6.19572920
## 1221 5.49970227 36.34490963 19.78721361 4.2084627 6.19572920
## 1222 5.49970227 36.34490963 19.78721361 4.2084627 6.19572920
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 2.12273808 17.41312798 -5.84005087 -24.6384494 5.89978560
## 1239 2.12273808 17.41312798 -5.84005087 -24.6384494 5.89978560
## 1240 2.12273808 17.41312798 -5.84005087 -24.6384494 5.89978560
## 1241 2.12273808 17.41312798 -5.84005087 -24.6384494 5.89978560
## 1242 2.12273808 17.41312798 -5.84005087 -24.6384494 5.89978560
## 1243 -10.21658570 8.74366992 -4.74305352 2.2321977 7.52040979
## 1244 -10.21658570 8.74366992 -4.74305352 2.2321977 7.52040979
## 1245 -10.21658570 8.74366992 -4.74305352 2.2321977 7.52040979
## 1246 -10.21658570 8.74366992 -4.74305352 2.2321977 7.52040979
## 1247 -10.21658570 8.74366992 -4.74305352 2.2321977 7.52040979
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 0.49852355 -47.07408655 5.74326605 -7.3336100 -16.40581604
## 1264 0.49852355 -47.07408655 5.74326605 -7.3336100 -16.40581604
## 1265 0.49852355 -47.07408655 5.74326605 -7.3336100 -16.40581604
## 1266 0.49852355 -47.07408655 5.74326605 -7.3336100 -16.40581604
## 1267 0.49852355 -47.07408655 5.74326605 -7.3336100 -16.40581604
## 1268 2.60477100 -4.47496930 -1.37487006 3.9165176 0.01056726
## 1269 2.60477100 -4.47496930 -1.37487006 3.9165176 0.01056726
## 1270 2.60477100 -4.47496930 -1.37487006 3.9165176 0.01056726
## 1271 2.60477100 -4.47496930 -1.37487006 3.9165176 0.01056726
## 1272 2.60477100 -4.47496930 -1.37487006 3.9165176 0.01056726
## 1273 0.48333363 -1.56555013 -13.47088684 0.9788912 2.57778782
## 1274 0.48333363 -1.56555013 -13.47088684 0.9788912 2.57778782
## 1275 0.48333363 -1.56555013 -13.47088684 0.9788912 2.57778782
## 1276 0.48333363 -1.56555013 -13.47088684 0.9788912 2.57778782
## 1277 0.48333363 -1.56555013 -13.47088684 0.9788912 2.57778782
## 1278 7.57001693 -7.70716279 -2.13590267 1.8015507 4.48504062
## 1279 7.57001693 -7.70716279 -2.13590267 1.8015507 4.48504062
## 1280 7.57001693 -7.70716279 -2.13590267 1.8015507 4.48504062
## 1281 7.57001693 -7.70716279 -2.13590267 1.8015507 4.48504062
## 1282 7.57001693 -7.70716279 -2.13590267 1.8015507 4.48504062
## 1283 5.72280255 -1.38235045 6.49423831 38.7820990 0.77005145
## 1284 5.72280255 -1.38235045 6.49423831 38.7820990 0.77005145
## 1285 5.72280255 -1.38235045 6.49423831 38.7820990 0.77005145
## 1286 5.72280255 -1.38235045 6.49423831 38.7820990 0.77005145
## 1287 5.72280255 -1.38235045 6.49423831 38.7820990 0.77005145
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 -0.82227445 3.93585638 -0.11782664 1.3566092 -4.02672450
## 1299 -0.82227445 3.93585638 -0.11782664 1.3566092 -4.02672450
## 1300 -0.82227445 3.93585638 -0.11782664 1.3566092 -4.02672450
## 1301 -0.82227445 3.93585638 -0.11782664 1.3566092 -4.02672450
## 1302 -0.82227445 3.93585638 -0.11782664 1.3566092 -4.02672450
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 1.65137999 3.92534977 5.06607585 7.9112698 1.01563240
## 1314 1.65137999 3.92534977 5.06607585 7.9112698 1.01563240
## 1315 1.65137999 3.92534977 5.06607585 7.9112698 1.01563240
## 1316 1.65137999 3.92534977 5.06607585 7.9112698 1.01563240
## 1317 1.65137999 3.92534977 5.06607585 7.9112698 1.01563240
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 2.91080130 5.61636272 0.36207674 -1.3290071 -0.72973293
## 1364 2.91080130 5.61636272 0.36207674 -1.3290071 -0.72973293
## 1365 2.91080130 5.61636272 0.36207674 -1.3290071 -0.72973293
## 1366 2.91080130 5.61636272 0.36207674 -1.3290071 -0.72973293
## 1367 2.91080130 5.61636272 0.36207674 -1.3290071 -0.72973293
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 1.67157521 2.96838430 3.01844267 -3.0041014 -0.86491417
## 1379 1.67157521 2.96838430 3.01844267 -3.0041014 -0.86491417
## 1380 1.67157521 2.96838430 3.01844267 -3.0041014 -0.86491417
## 1381 1.67157521 2.96838430 3.01844267 -3.0041014 -0.86491417
## 1382 1.67157521 2.96838430 3.01844267 -3.0041014 -0.86491417
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 4.50105396 -1.04634876 15.35306049 6.3047784 3.70852091
## 1389 4.50105396 -1.04634876 15.35306049 6.3047784 3.70852091
## 1390 4.50105396 -1.04634876 15.35306049 6.3047784 3.70852091
## 1391 4.50105396 -1.04634876 15.35306049 6.3047784 3.70852091
## 1392 4.50105396 -1.04634876 15.35306049 6.3047784 3.70852091
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 0.96381626 -8.84235603 23.81398808 -27.7126232 -4.80326547
## 1414 0.96381626 -8.84235603 23.81398808 -27.7126232 -4.80326547
## 1415 0.96381626 -8.84235603 23.81398808 -27.7126232 -4.80326547
## 1416 0.96381626 -8.84235603 23.81398808 -27.7126232 -4.80326547
## 1417 0.96381626 -8.84235603 23.81398808 -27.7126232 -4.80326547
## 1418 -1.49826725 0.73368139 -0.43737626 -2.4968506 1.92916445
## 1419 -1.49826725 0.73368139 -0.43737626 -2.4968506 1.92916445
## 1420 -1.49826725 0.73368139 -0.43737626 -2.4968506 1.92916445
## 1421 -1.49826725 0.73368139 -0.43737626 -2.4968506 1.92916445
## 1422 -1.49826725 0.73368139 -0.43737626 -2.4968506 1.92916445
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 1.98723488 -2.32920937 6.20682452 -13.3244318 2.00957566
## 1429 1.98723488 -2.32920937 6.20682452 -13.3244318 2.00957566
## 1430 1.98723488 -2.32920937 6.20682452 -13.3244318 2.00957566
## 1431 1.98723488 -2.32920937 6.20682452 -13.3244318 2.00957566
## 1432 1.98723488 -2.32920937 6.20682452 -13.3244318 2.00957566
## 1433 -16.43254714 -41.29005386 -20.63430041 -10.6673468 11.68144815
## 1434 -16.43254714 -41.29005386 -20.63430041 -10.6673468 11.68144815
## 1435 -16.43254714 -41.29005386 -20.63430041 -10.6673468 11.68144815
## 1436 -16.43254714 -41.29005386 -20.63430041 -10.6673468 11.68144815
## 1437 -16.43254714 -41.29005386 -20.63430041 -10.6673468 11.68144815
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 22.23375150 10.21461977 0.92979548 -7.5077764 -16.08156060
## 1444 22.23375150 10.21461977 0.92979548 -7.5077764 -16.08156060
## 1445 22.23375150 10.21461977 0.92979548 -7.5077764 -16.08156060
## 1446 22.23375150 10.21461977 0.92979548 -7.5077764 -16.08156060
## 1447 22.23375150 10.21461977 0.92979548 -7.5077764 -16.08156060
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 -1.94821371 -10.48044038 3.36686632 -8.5509952 -1.25874582
## 1464 -1.94821371 -10.48044038 3.36686632 -8.5509952 -1.25874582
## 1465 -1.94821371 -10.48044038 3.36686632 -8.5509952 -1.25874582
## 1466 -1.94821371 -10.48044038 3.36686632 -8.5509952 -1.25874582
## 1467 -1.94821371 -10.48044038 3.36686632 -8.5509952 -1.25874582
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 0.76549905 8.39363679 1.63123256 -12.1401361 5.99800141
## 1489 0.76549905 8.39363679 1.63123256 -12.1401361 5.99800141
## 1490 0.76549905 8.39363679 1.63123256 -12.1401361 5.99800141
## 1491 0.76549905 8.39363679 1.63123256 -12.1401361 5.99800141
## 1492 0.76549905 8.39363679 1.63123256 -12.1401361 5.99800141
## 1493 -0.32073949 7.80943543 -14.57376003 -2.2037800 -5.69369700
## 1494 -0.32073949 7.80943543 -14.57376003 -2.2037800 -5.69369700
## 1495 -0.32073949 7.80943543 -14.57376003 -2.2037800 -5.69369700
## 1496 -0.32073949 7.80943543 -14.57376003 -2.2037800 -5.69369700
## 1497 -0.32073949 7.80943543 -14.57376003 -2.2037800 -5.69369700
## 1498 9.42995342 11.59494595 6.88393462 6.9829217 -2.35599419
## 1499 9.42995342 11.59494595 6.88393462 6.9829217 -2.35599419
## 1500 9.42995342 11.59494595 6.88393462 6.9829217 -2.35599419
## 1501 9.42995342 11.59494595 6.88393462 6.9829217 -2.35599419
## 1502 9.42995342 11.59494595 6.88393462 6.9829217 -2.35599419
## 1503 1.50156316 -6.20254034 -2.02363389 -0.3174137 14.20644812
## 1504 1.50156316 -6.20254034 -2.02363389 -0.3174137 14.20644812
## 1505 1.50156316 -6.20254034 -2.02363389 -0.3174137 14.20644812
## 1506 1.50156316 -6.20254034 -2.02363389 -0.3174137 14.20644812
## 1507 1.50156316 -6.20254034 -2.02363389 -0.3174137 14.20644812
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 -0.97090912 -4.41405006 0.65972649 -0.9128927 3.52099853
## 1529 -0.97090912 -4.41405006 0.65972649 -0.9128927 3.52099853
## 1530 -0.97090912 -4.41405006 0.65972649 -0.9128927 3.52099853
## 1531 -0.97090912 -4.41405006 0.65972649 -0.9128927 3.52099853
## 1532 -0.97090912 -4.41405006 0.65972649 -0.9128927 3.52099853
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC58_score PC36_score PC70_score PC77_score PC14_score
## 1 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 2 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 3 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 4 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 5 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 6 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 7 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 8 12.16166299 -12.51860302 -18.67989166 24.97100778 3.0682764
## 9 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 10 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 11 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 12 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 13 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 14 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 15 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 16 4.63925607 -7.73909989 -6.98400998 4.61998232 0.5108574
## 17 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 18 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 19 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 20 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 21 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 22 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 23 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 24 -9.41974742 -13.42430048 0.76669073 -1.31671656 -10.3843723
## 25 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 26 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 27 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 28 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 29 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 30 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 31 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 32 -31.37247935 6.55147875 12.28430647 -3.12954334 -3.4959815
## 33 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 34 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 35 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 36 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 37 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 38 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 39 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 40 37.61865931 -11.00684509 -8.93785001 -6.68631953 -3.5976003
## 41 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 42 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 43 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 44 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 45 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 46 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 47 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 48 -2.23709982 -0.86391533 -0.50637705 -1.39518563 -2.6004752
## 49 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 50 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 51 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 52 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 53 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 54 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 55 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 56 4.48050426 13.74452089 -2.16324518 0.13967191 -35.8307222
## 57 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 58 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 59 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 60 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 61 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 62 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 63 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 64 -35.51935981 -19.63064913 3.26020890 -8.15136935 4.5676847
## 65 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 66 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 67 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 68 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 69 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 70 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 71 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 72 11.45397096 -18.96713084 7.69001521 1.81957958 -5.2076366
## 73 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 74 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 75 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 76 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 77 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 78 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 79 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 80 29.82408071 2.45592318 5.02414119 -9.01248315 -7.0863522
## 81 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 82 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 83 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 84 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 85 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 86 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 87 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 88 -3.85402052 -5.91464905 -20.48264653 3.05100147 2.0553760
## 89 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 90 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 91 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 92 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 93 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 94 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 95 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 96 6.76828736 33.67861397 3.80798201 0.45440311 -6.6132322
## 97 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 98 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 99 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 100 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 101 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 102 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 103 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 104 -22.39005558 -8.67074746 -2.34908269 -0.11977896 0.5709071
## 105 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 106 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 107 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 108 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 109 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 110 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 111 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 112 -5.98160538 -1.81163473 12.40681106 8.41684059 1.2805164
## 113 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 114 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 115 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 116 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 117 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 118 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 119 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 120 -3.27966580 15.89079764 -2.58902095 -0.43729267 0.7214889
## 121 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 122 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 123 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 124 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 125 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 126 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 127 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 128 11.26531422 -36.58059878 12.75185192 12.67527926 -4.8065773
## 129 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 130 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 131 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 132 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 133 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 134 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 135 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 136 -7.96543873 -9.59010487 -24.88288332 -6.87207570 -0.6856724
## 137 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 138 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 139 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 140 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 141 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 142 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 143 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 144 3.42861156 8.36330699 2.14315581 3.71138555 -24.0401294
## 145 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 146 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 147 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 148 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 149 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 150 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 151 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 152 -29.33813476 3.92802197 12.70957408 5.61569990 -1.4856773
## 153 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 154 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 155 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 156 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 157 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 158 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 159 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 160 4.70136320 0.18181626 -0.51177105 3.98201127 26.1655956
## 161 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 162 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 163 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 164 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 165 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 166 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 167 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 168 -2.94029483 0.18537480 12.60897425 -16.88008069 -2.3635903
## 169 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 170 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 171 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 172 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 173 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 174 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 175 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 176 3.42896430 -2.47349435 1.28126160 -0.87019349 -0.2324671
## 177 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 178 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 179 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 180 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 181 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 182 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 183 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 184 -4.57309934 -4.34269305 -0.07670882 5.89758186 3.0623233
## 185 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 186 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 187 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 188 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 189 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 190 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 191 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 192 -0.43504623 2.57156813 -2.55433577 -0.83401009 17.6320774
## 193 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 194 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 195 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 196 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 197 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 198 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 199 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 200 -43.83442112 -10.16046328 -2.30322936 1.41674758 -0.4885114
## 201 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 202 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 203 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 204 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 205 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 206 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 207 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 208 -3.93227578 -21.52108386 -0.36865465 5.79695539 -17.4174450
## 209 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 210 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 211 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 212 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 213 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 214 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 215 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 216 0.50534452 1.53648786 4.26034960 1.31508209 -31.7695227
## 217 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 218 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 219 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 220 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 221 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 222 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 223 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 224 2.83642586 3.42841011 -0.23292005 -1.12167376 6.7775470
## 225 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 226 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 227 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 228 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 229 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 230 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 231 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 232 -0.07122256 2.36120797 -1.78339431 1.56724987 -0.8146427
## 233 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 234 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 235 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 236 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 237 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 238 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 239 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 240 -0.73969717 -44.17889080 0.89569002 -6.74534126 17.7535756
## 241 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 242 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 243 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 244 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 245 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 246 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 247 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 248 -9.31446327 18.20438853 3.03262320 1.91487175 -0.9557318
## 249 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 250 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 251 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 252 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 253 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 254 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 255 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 256 3.13681842 3.08877376 26.10452837 4.34153617 4.5414801
## 257 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 258 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 259 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 260 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 261 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 262 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 263 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 264 2.38702368 -1.70619263 -8.10984928 0.14222178 1.6153250
## 265 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 266 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 267 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 268 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 269 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 270 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 271 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 272 18.40333519 19.18720777 -23.92551591 -4.73200997 10.2545536
## 273 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 274 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 275 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 276 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 277 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 278 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 279 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 280 19.00994035 20.32329435 -1.58379232 1.00322292 0.7646596
## 281 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 282 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 283 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 284 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 285 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 286 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 287 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 288 -14.37480772 5.68170067 -2.09210913 11.23133627 -3.4403619
## 289 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 290 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 291 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 292 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 293 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 294 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 295 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 296 14.01009627 -4.48348419 27.20310664 1.68434664 4.7938185
## 297 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 298 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 299 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 300 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 301 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 302 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 303 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 304 -8.83887790 1.74447087 8.02559971 -6.98668074 -1.5192169
## 305 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 306 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 307 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 308 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 309 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 310 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 311 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 312 -3.15275749 -1.45315329 5.62442237 -1.30828490 -3.7617869
## 313 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 314 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 315 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 316 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 317 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 318 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 319 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 320 9.33982410 14.95407139 -6.64096022 -2.86140379 -1.5632387
## 321 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 322 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 323 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 324 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 325 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 326 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 327 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 328 -9.19007387 -13.79532792 -4.41785240 -9.65886389 -0.1923550
## 329 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 330 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 331 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 332 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 333 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 334 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 335 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 336 8.08442371 -8.68187103 -5.55128001 -6.61146060 3.8255830
## 337 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 338 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 339 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 340 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 341 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 342 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 343 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 344 1.23771845 19.10557879 1.65445498 -1.19377967 13.9744456
## 345 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 346 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 347 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 348 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 349 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 350 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 351 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 352 -9.36215989 -6.41764747 0.39519056 -0.42625389 -4.5948242
## 353 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 354 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 355 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 356 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 357 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 358 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 359 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 360 -8.50534064 -9.56471562 -37.86635355 -24.32807459 7.8730939
## 361 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 362 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 363 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 364 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 365 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 366 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 367 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 368 -2.39834294 -8.44177838 -0.76766078 1.48103043 -35.9681642
## 369 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 370 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 371 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 372 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 373 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 374 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 375 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 376 18.93761617 -0.88634129 13.93548760 -21.27245856 1.9111433
## 377 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 378 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 379 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 380 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 381 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 382 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 383 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 384 8.73561652 2.17473428 -16.90121103 45.86694589 -1.2509211
## 385 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 386 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 387 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 388 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 389 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 390 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 391 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 392 4.76614085 5.16715119 13.89889354 0.50453340 -1.5687631
## 393 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 394 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 395 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 396 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 397 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 398 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 399 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 400 -1.35797230 -0.78404081 2.93933233 -1.81071024 3.5708883
## 401 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 402 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 403 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 404 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 405 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 406 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 407 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 408 -0.87142466 9.68512706 3.66508777 -4.21296436 -4.3153672
## 409 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 410 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 411 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 412 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 413 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 414 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 415 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 416 -13.50092573 12.11094496 -19.86299349 -3.68570943 -1.2737099
## 417 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 418 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 419 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 420 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 421 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 422 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 423 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 424 15.01162113 2.93076641 21.51184146 4.45502417 1.8188344
## 425 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 426 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 427 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 428 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 429 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 430 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 431 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 432 8.72097863 -19.80800280 6.63076443 -7.97902631 8.2968256
## 433 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 434 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 435 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 436 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 437 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 438 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 439 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 440 -4.39086029 -10.31224674 -25.05560722 -14.65221166 0.4949161
## 441 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 442 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 443 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 444 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 445 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 446 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 447 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 448 -1.89686317 3.18189477 1.32033278 2.97080335 87.1349826
## 449 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 450 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 451 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 452 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 453 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 454 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 455 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 456 6.64839535 6.96711213 14.12356192 7.49060062 1.3454347
## 457 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 458 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 459 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 460 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 461 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 462 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 463 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 464 18.58452188 0.21232985 -7.87437981 5.19709301 -8.4804046
## 465 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 466 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 467 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 468 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 469 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 470 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 471 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 472 -48.30821236 4.49087847 1.85652122 3.37415741 2.3496422
## 473 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 474 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 475 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 476 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 477 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 478 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 479 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 480 3.25792064 -9.00819971 -2.26864081 0.57336585 -8.1086252
## 481 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 482 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 483 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 484 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 485 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 486 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 487 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 488 4.25800435 5.76998168 -6.38090789 -3.41882435 -27.9779916
## 489 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 490 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 491 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 492 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 493 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 494 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 495 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 496 -2.26565160 -7.67974298 1.06117259 3.20596322 27.1936876
## 497 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 498 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 499 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 500 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 501 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 502 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 503 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 504 -4.64347078 -0.36697351 -4.08777880 3.89811493 2.9203196
## 505 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 506 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 507 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 508 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 509 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 510 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 511 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 512 -0.21227578 1.05984303 -0.24575004 -5.32994653 -6.0725074
## 513 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 514 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 515 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 516 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 517 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 518 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 519 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 520 -2.66489121 41.44019929 -4.46560126 -2.99913964 0.8380826
## 521 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 522 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 523 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 524 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 525 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 526 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 527 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 528 3.49128142 20.19861173 0.60827613 -4.68332830 -2.7598201
## 529 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 530 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 531 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 532 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 533 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 534 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 535 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 536 0.17945315 -16.93234552 6.14221897 -3.81458057 -4.1684675
## 537 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 538 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 539 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 540 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 541 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 542 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 543 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 544 -28.35394768 1.50324990 -5.89515376 -12.07532749 6.8477308
## 545 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 546 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 547 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 548 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 549 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 550 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 551 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 552 -1.78440245 2.73580312 -0.62956904 4.16109053 5.0163324
## 553 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 554 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 555 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 556 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 557 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 558 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 559 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 560 10.34734651 1.94369024 -1.00036212 1.09476711 -6.0835651
## 561 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 562 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 563 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 564 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 565 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 566 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 567 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 568 -2.28707210 3.66235818 42.63226101 9.66599259 -1.5205421
## 569 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 570 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 571 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 572 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 573 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 574 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 575 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 576 -1.88680696 1.43828060 -6.88851660 -2.75717576 -0.9789115
## 577 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 578 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 579 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 580 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 581 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 582 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 583 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 584 13.93557397 -2.56751999 -4.87882121 40.87706828 1.6183021
## 585 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 586 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 587 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 588 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 589 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 590 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 591 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 592 -3.89914680 1.44931740 -4.45217525 4.51236321 -16.2344203
## 593 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 594 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 595 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 596 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 597 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 598 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 599 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 600 1.40564074 5.58195005 5.24508412 3.79687341 31.7431572
## 601 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 602 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 603 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 604 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 605 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 606 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 607 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 608 15.01829310 -6.90853957 -0.06959140 37.12346610 3.4964704
## 609 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 610 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 611 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 612 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 613 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 614 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 615 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 616 11.20317817 0.84903306 -5.32804970 3.36836123 0.6151626
## 617 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 618 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 619 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 620 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 621 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 622 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 623 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 624 3.81578096 3.04991163 19.66877266 -3.49222013 -1.7974726
## 625 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 626 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 627 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 628 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 629 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 630 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 631 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 632 -9.43822553 12.24247748 24.32416929 39.22081470 9.5766167
## 633 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 634 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 635 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 636 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 637 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 638 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 639 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 640 8.13485906 3.57547148 -8.52201008 -12.67036374 1.7314377
## 641 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 642 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 643 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 644 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 645 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 646 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 647 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 648 -5.18041302 -5.55247268 3.38932426 0.26937627 -81.6897978
## 649 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 650 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 651 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 652 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 653 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 654 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 655 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 656 11.78356321 3.62257428 -10.42340651 -33.54030684 3.1761868
## 657 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 658 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 659 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 660 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 661 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 662 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 663 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 664 1.44586553 -1.85323271 -4.41906468 -8.03532292 4.0522034
## 665 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 666 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 667 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 668 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 669 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 670 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 671 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 672 1.10750014 -14.43876760 -1.54446389 -1.33898854 2.9889330
## 673 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 674 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 675 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 676 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 677 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 678 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 679 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 680 0.47696493 2.13950064 -0.29616754 -6.37151476 4.1016762
## 681 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 682 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 683 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 684 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 685 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 686 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 687 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 688 7.84537768 -31.72046860 -1.31795186 -1.93520351 19.1386568
## 689 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 690 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 691 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 692 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 693 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 694 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 695 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 696 7.73346307 4.15489184 -0.09860047 10.76435998 -1.0207834
## 697 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 698 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 699 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 700 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 701 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 702 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 703 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 704 -2.57305608 48.48053428 1.28085372 5.41946731 9.7300937
## 705 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 706 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 707 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 708 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 709 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 710 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 711 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 712 1.41693270 1.30546843 6.00309870 4.27876491 -1.6723319
## 713 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 714 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 715 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 716 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 717 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 718 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 719 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 720 2.76935348 -2.91446528 -11.39861108 7.50342563 -3.4938850
## 721 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 722 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 723 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 724 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 725 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 726 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 727 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 728 18.92861520 1.38250386 35.19412980 -56.71891096 0.8288396
## 729 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 730 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 731 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 732 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 733 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 734 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 735 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 736 -1.67901568 1.27198325 -2.92431938 0.76234969 -11.6345322
## 737 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 738 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 739 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 740 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 741 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 742 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 743 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 744 12.96180992 3.86782951 -26.52750482 20.94253557 -1.0427829
## 745 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 746 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 747 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 748 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 749 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 750 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 751 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 752 2.80184731 8.73994375 -1.78581664 0.87886204 3.5497652
## 753 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 754 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 755 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 756 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 757 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 758 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 759 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 760 4.64981937 3.56120823 24.82390803 -7.76979324 4.2858441
## 761 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 762 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 763 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 764 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 765 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 766 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 767 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 768 3.21991661 -1.06442912 -36.53953342 -28.95795389 4.0190066
## 769 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 770 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 771 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 772 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 773 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 774 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 775 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 776 6.62543214 -2.36392073 -3.65316151 -0.80937765 1.1132676
## 777 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 778 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 779 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 780 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 781 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 782 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 783 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 784 -9.25343907 -5.68150764 0.78902486 2.90358078 0.5317716
## 785 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 786 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 787 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 788 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 789 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 790 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 791 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 792 -0.98502034 -4.58421969 -0.62608614 2.91815883 -2.5960089
## 793 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 794 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 795 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 796 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 797 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 798 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 799 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 800 -12.40195054 -17.17907956 -4.19372856 7.92582671 4.0225716
## 801 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 802 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 803 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 804 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 805 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 806 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 807 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 808 6.95508800 7.90601388 4.80010108 4.13446388 3.2482744
## 809 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 810 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 811 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 812 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 813 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 814 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 815 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 816 0.73024490 6.79402489 18.51043817 -28.89984249 4.7687071
## 817 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 818 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 819 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 820 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 821 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 822 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 823 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 824 0.71039863 2.11807924 1.06544260 -1.63194157 1.2722983
## 825 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 826 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 827 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 828 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 829 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 830 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 831 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 832 5.78656018 11.59226931 -2.84030801 -2.46567560 -6.3002408
## 833 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 834 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 835 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 836 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 837 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 838 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 839 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 840 9.49910237 5.20097993 -5.87172962 4.37382315 -1.3006277
## 841 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 842 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 843 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 844 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 845 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 846 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 847 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 848 -45.88588632 12.61228112 7.60156606 -0.51979615 -2.5110772
## 849 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 850 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 851 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 852 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 853 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 854 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 855 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 856 2.89028200 -49.30503928 11.83453535 0.49705086 -2.7740715
## 857 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 858 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 859 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 860 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 861 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 862 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 863 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 864 -2.35077695 35.08395999 -0.23446130 -2.14681516 3.7450367
## 865 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 866 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 867 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 868 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 869 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 870 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 871 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 872 -0.04939754 -0.59502144 0.90793835 -0.96892695 2.7000736
## 873 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 874 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 875 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 876 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 877 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 878 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 879 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 880 -4.01100565 -7.79165986 0.35078826 6.84916815 17.1615860
## 881 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 882 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 883 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 884 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 885 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 886 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 887 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 888 7.05189922 -1.63532901 1.74133556 2.75963141 3.3749419
## 889 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 890 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 891 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 892 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 893 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 894 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 895 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 896 -5.07950684 8.28619148 -39.79909173 -6.44477166 -2.1208938
## 897 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 898 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 899 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 900 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 901 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 902 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 903 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 904 -0.34825719 -5.58025219 -0.23471641 1.40153611 -9.2129378
## 905 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 906 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 907 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 908 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 909 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 910 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 911 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 912 8.01647784 -7.25547771 4.11003672 1.89917942 2.7388618
## 913 -1.69288872 1.03877301 1.62092147 -0.42291988 -11.6830491
## 914 -1.69288872 1.03877301 1.62092147 -0.42291988 -11.6830491
## 915 -1.69288872 1.03877301 1.62092147 -0.42291988 -11.6830491
## 916 -1.69288872 1.03877301 1.62092147 -0.42291988 -11.6830491
## 917 -1.69288872 1.03877301 1.62092147 -0.42291988 -11.6830491
## 918 -6.18525383 -0.65589390 4.68880669 -2.23464762 -1.5378456
## 919 -6.18525383 -0.65589390 4.68880669 -2.23464762 -1.5378456
## 920 -6.18525383 -0.65589390 4.68880669 -2.23464762 -1.5378456
## 921 -6.18525383 -0.65589390 4.68880669 -2.23464762 -1.5378456
## 922 -6.18525383 -0.65589390 4.68880669 -2.23464762 -1.5378456
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 -2.92565780 7.47111790 7.03397372 -23.02079817 -4.2246816
## 939 -2.92565780 7.47111790 7.03397372 -23.02079817 -4.2246816
## 940 -2.92565780 7.47111790 7.03397372 -23.02079817 -4.2246816
## 941 -2.92565780 7.47111790 7.03397372 -23.02079817 -4.2246816
## 942 -2.92565780 7.47111790 7.03397372 -23.02079817 -4.2246816
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -16.36031286 -5.16109048 -16.30603843 7.49768023 0.7201179
## 954 -16.36031286 -5.16109048 -16.30603843 7.49768023 0.7201179
## 955 -16.36031286 -5.16109048 -16.30603843 7.49768023 0.7201179
## 956 -16.36031286 -5.16109048 -16.30603843 7.49768023 0.7201179
## 957 -16.36031286 -5.16109048 -16.30603843 7.49768023 0.7201179
## 958 -5.57829293 -0.03294768 0.66592925 4.60354836 1.8743781
## 959 -5.57829293 -0.03294768 0.66592925 4.60354836 1.8743781
## 960 -5.57829293 -0.03294768 0.66592925 4.60354836 1.8743781
## 961 -5.57829293 -0.03294768 0.66592925 4.60354836 1.8743781
## 962 -5.57829293 -0.03294768 0.66592925 4.60354836 1.8743781
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 -11.76454607 57.20013733 -6.37644294 1.89986116 16.1807545
## 974 -11.76454607 57.20013733 -6.37644294 1.89986116 16.1807545
## 975 -11.76454607 57.20013733 -6.37644294 1.89986116 16.1807545
## 976 -11.76454607 57.20013733 -6.37644294 1.89986116 16.1807545
## 977 -11.76454607 57.20013733 -6.37644294 1.89986116 16.1807545
## 978 46.94230797 -26.15950520 14.85303722 9.57292501 8.3009268
## 979 46.94230797 -26.15950520 14.85303722 9.57292501 8.3009268
## 980 46.94230797 -26.15950520 14.85303722 9.57292501 8.3009268
## 981 46.94230797 -26.15950520 14.85303722 9.57292501 8.3009268
## 982 46.94230797 -26.15950520 14.85303722 9.57292501 8.3009268
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 8.61648748 -7.09351798 -1.23562352 6.42796878 55.1908957
## 994 8.61648748 -7.09351798 -1.23562352 6.42796878 55.1908957
## 995 8.61648748 -7.09351798 -1.23562352 6.42796878 55.1908957
## 996 8.61648748 -7.09351798 -1.23562352 6.42796878 55.1908957
## 997 8.61648748 -7.09351798 -1.23562352 6.42796878 55.1908957
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 18.45935353 -1.49291398 8.14839297 -22.88545932 6.9645376
## 1009 18.45935353 -1.49291398 8.14839297 -22.88545932 6.9645376
## 1010 18.45935353 -1.49291398 8.14839297 -22.88545932 6.9645376
## 1011 18.45935353 -1.49291398 8.14839297 -22.88545932 6.9645376
## 1012 18.45935353 -1.49291398 8.14839297 -22.88545932 6.9645376
## 1013 2.26344132 -2.23902648 0.07372078 -5.19000083 14.0649386
## 1014 2.26344132 -2.23902648 0.07372078 -5.19000083 14.0649386
## 1015 2.26344132 -2.23902648 0.07372078 -5.19000083 14.0649386
## 1016 2.26344132 -2.23902648 0.07372078 -5.19000083 14.0649386
## 1017 2.26344132 -2.23902648 0.07372078 -5.19000083 14.0649386
## 1018 7.49904733 -1.53615450 3.93393824 -2.58240785 -0.3127779
## 1019 7.49904733 -1.53615450 3.93393824 -2.58240785 -0.3127779
## 1020 7.49904733 -1.53615450 3.93393824 -2.58240785 -0.3127779
## 1021 7.49904733 -1.53615450 3.93393824 -2.58240785 -0.3127779
## 1022 7.49904733 -1.53615450 3.93393824 -2.58240785 -0.3127779
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 -15.82983057 -8.11439139 22.14529876 43.04091732 2.5203381
## 1034 -15.82983057 -8.11439139 22.14529876 43.04091732 2.5203381
## 1035 -15.82983057 -8.11439139 22.14529876 43.04091732 2.5203381
## 1036 -15.82983057 -8.11439139 22.14529876 43.04091732 2.5203381
## 1037 -15.82983057 -8.11439139 22.14529876 43.04091732 2.5203381
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 2.95214803 35.77190465 2.28639465 -1.02135391 0.5642218
## 1069 2.95214803 35.77190465 2.28639465 -1.02135391 0.5642218
## 1070 2.95214803 35.77190465 2.28639465 -1.02135391 0.5642218
## 1071 2.95214803 35.77190465 2.28639465 -1.02135391 0.5642218
## 1072 2.95214803 35.77190465 2.28639465 -1.02135391 0.5642218
## 1073 -5.91732923 -16.94509564 -3.86035617 6.40193852 7.4634941
## 1074 -5.91732923 -16.94509564 -3.86035617 6.40193852 7.4634941
## 1075 -5.91732923 -16.94509564 -3.86035617 6.40193852 7.4634941
## 1076 -5.91732923 -16.94509564 -3.86035617 6.40193852 7.4634941
## 1077 -5.91732923 -16.94509564 -3.86035617 6.40193852 7.4634941
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 -12.10078987 -10.44293938 -11.76093618 11.66728926 -6.7146714
## 1084 -12.10078987 -10.44293938 -11.76093618 11.66728926 -6.7146714
## 1085 -12.10078987 -10.44293938 -11.76093618 11.66728926 -6.7146714
## 1086 -12.10078987 -10.44293938 -11.76093618 11.66728926 -6.7146714
## 1087 -12.10078987 -10.44293938 -11.76093618 11.66728926 -6.7146714
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -45.73262920 2.96258285 -3.14930259 6.42125210 4.0427146
## 1094 -45.73262920 2.96258285 -3.14930259 6.42125210 4.0427146
## 1095 -45.73262920 2.96258285 -3.14930259 6.42125210 4.0427146
## 1096 -45.73262920 2.96258285 -3.14930259 6.42125210 4.0427146
## 1097 -45.73262920 2.96258285 -3.14930259 6.42125210 4.0427146
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 -7.15982095 -3.78758735 -3.93454551 -9.51340374 -1.1814030
## 1104 -7.15982095 -3.78758735 -3.93454551 -9.51340374 -1.1814030
## 1105 -7.15982095 -3.78758735 -3.93454551 -9.51340374 -1.1814030
## 1106 -7.15982095 -3.78758735 -3.93454551 -9.51340374 -1.1814030
## 1107 -7.15982095 -3.78758735 -3.93454551 -9.51340374 -1.1814030
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 -59.13297683 5.19449443 12.01860383 34.60640937 4.8031754
## 1114 -59.13297683 5.19449443 12.01860383 34.60640937 4.8031754
## 1115 -59.13297683 5.19449443 12.01860383 34.60640937 4.8031754
## 1116 -59.13297683 5.19449443 12.01860383 34.60640937 4.8031754
## 1117 -59.13297683 5.19449443 12.01860383 34.60640937 4.8031754
## 1118 -7.60758379 -2.04923544 -4.57933024 -10.12550530 4.3724357
## 1119 -7.60758379 -2.04923544 -4.57933024 -10.12550530 4.3724357
## 1120 -7.60758379 -2.04923544 -4.57933024 -10.12550530 4.3724357
## 1121 -7.60758379 -2.04923544 -4.57933024 -10.12550530 4.3724357
## 1122 -7.60758379 -2.04923544 -4.57933024 -10.12550530 4.3724357
## 1123 14.57771098 3.10904130 8.51213549 2.18287671 -0.1172486
## 1124 14.57771098 3.10904130 8.51213549 2.18287671 -0.1172486
## 1125 14.57771098 3.10904130 8.51213549 2.18287671 -0.1172486
## 1126 14.57771098 3.10904130 8.51213549 2.18287671 -0.1172486
## 1127 14.57771098 3.10904130 8.51213549 2.18287671 -0.1172486
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 -33.81354453 0.43394407 3.53603961 3.37119867 -1.8285666
## 1134 -33.81354453 0.43394407 3.53603961 3.37119867 -1.8285666
## 1135 -33.81354453 0.43394407 3.53603961 3.37119867 -1.8285666
## 1136 -33.81354453 0.43394407 3.53603961 3.37119867 -1.8285666
## 1137 -33.81354453 0.43394407 3.53603961 3.37119867 -1.8285666
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 -0.51013908 -14.74037300 -2.50937336 -1.12304784 5.4327525
## 1144 -0.51013908 -14.74037300 -2.50937336 -1.12304784 5.4327525
## 1145 -0.51013908 -14.74037300 -2.50937336 -1.12304784 5.4327525
## 1146 -0.51013908 -14.74037300 -2.50937336 -1.12304784 5.4327525
## 1147 -0.51013908 -14.74037300 -2.50937336 -1.12304784 5.4327525
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 27.74884746 -14.51132303 -36.21145046 34.10759632 -1.6843836
## 1154 27.74884746 -14.51132303 -36.21145046 34.10759632 -1.6843836
## 1155 27.74884746 -14.51132303 -36.21145046 34.10759632 -1.6843836
## 1156 27.74884746 -14.51132303 -36.21145046 34.10759632 -1.6843836
## 1157 27.74884746 -14.51132303 -36.21145046 34.10759632 -1.6843836
## 1158 13.81659957 -8.54469740 24.55675361 -29.46085831 -7.2450412
## 1159 13.81659957 -8.54469740 24.55675361 -29.46085831 -7.2450412
## 1160 13.81659957 -8.54469740 24.55675361 -29.46085831 -7.2450412
## 1161 13.81659957 -8.54469740 24.55675361 -29.46085831 -7.2450412
## 1162 13.81659957 -8.54469740 24.55675361 -29.46085831 -7.2450412
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 14.24999386 27.22799857 49.27264499 -18.00737812 2.4945167
## 1189 14.24999386 27.22799857 49.27264499 -18.00737812 2.4945167
## 1190 14.24999386 27.22799857 49.27264499 -18.00737812 2.4945167
## 1191 14.24999386 27.22799857 49.27264499 -18.00737812 2.4945167
## 1192 14.24999386 27.22799857 49.27264499 -18.00737812 2.4945167
## 1193 6.93050873 -57.16141286 -6.80447174 -2.50488506 7.5955141
## 1194 6.93050873 -57.16141286 -6.80447174 -2.50488506 7.5955141
## 1195 6.93050873 -57.16141286 -6.80447174 -2.50488506 7.5955141
## 1196 6.93050873 -57.16141286 -6.80447174 -2.50488506 7.5955141
## 1197 6.93050873 -57.16141286 -6.80447174 -2.50488506 7.5955141
## 1198 -14.87164939 -13.75482780 11.85444177 1.78614005 -6.6192750
## 1199 -14.87164939 -13.75482780 11.85444177 1.78614005 -6.6192750
## 1200 -14.87164939 -13.75482780 11.85444177 1.78614005 -6.6192750
## 1201 -14.87164939 -13.75482780 11.85444177 1.78614005 -6.6192750
## 1202 -14.87164939 -13.75482780 11.85444177 1.78614005 -6.6192750
## 1203 -1.03521557 -0.27355816 -23.97692072 -10.90588475 1.4011930
## 1204 -1.03521557 -0.27355816 -23.97692072 -10.90588475 1.4011930
## 1205 -1.03521557 -0.27355816 -23.97692072 -10.90588475 1.4011930
## 1206 -1.03521557 -0.27355816 -23.97692072 -10.90588475 1.4011930
## 1207 -1.03521557 -0.27355816 -23.97692072 -10.90588475 1.4011930
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 -2.32120396 -5.28625670 0.55846980 17.97187562 -1.7786026
## 1214 -2.32120396 -5.28625670 0.55846980 17.97187562 -1.7786026
## 1215 -2.32120396 -5.28625670 0.55846980 17.97187562 -1.7786026
## 1216 -2.32120396 -5.28625670 0.55846980 17.97187562 -1.7786026
## 1217 -2.32120396 -5.28625670 0.55846980 17.97187562 -1.7786026
## 1218 12.60637770 6.31034034 16.62806877 11.12795622 -6.7505193
## 1219 12.60637770 6.31034034 16.62806877 11.12795622 -6.7505193
## 1220 12.60637770 6.31034034 16.62806877 11.12795622 -6.7505193
## 1221 12.60637770 6.31034034 16.62806877 11.12795622 -6.7505193
## 1222 12.60637770 6.31034034 16.62806877 11.12795622 -6.7505193
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 4.02951158 -24.89070848 6.67178577 -8.15835733 4.6787984
## 1239 4.02951158 -24.89070848 6.67178577 -8.15835733 4.6787984
## 1240 4.02951158 -24.89070848 6.67178577 -8.15835733 4.6787984
## 1241 4.02951158 -24.89070848 6.67178577 -8.15835733 4.6787984
## 1242 4.02951158 -24.89070848 6.67178577 -8.15835733 4.6787984
## 1243 11.91202401 0.28947368 -4.57704038 4.90181409 -29.5139003
## 1244 11.91202401 0.28947368 -4.57704038 4.90181409 -29.5139003
## 1245 11.91202401 0.28947368 -4.57704038 4.90181409 -29.5139003
## 1246 11.91202401 0.28947368 -4.57704038 4.90181409 -29.5139003
## 1247 11.91202401 0.28947368 -4.57704038 4.90181409 -29.5139003
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 -4.08149183 2.06509930 -25.08898072 -51.89025050 0.5033149
## 1264 -4.08149183 2.06509930 -25.08898072 -51.89025050 0.5033149
## 1265 -4.08149183 2.06509930 -25.08898072 -51.89025050 0.5033149
## 1266 -4.08149183 2.06509930 -25.08898072 -51.89025050 0.5033149
## 1267 -4.08149183 2.06509930 -25.08898072 -51.89025050 0.5033149
## 1268 2.05089054 -1.73125568 2.61275434 0.08364445 -2.8863895
## 1269 2.05089054 -1.73125568 2.61275434 0.08364445 -2.8863895
## 1270 2.05089054 -1.73125568 2.61275434 0.08364445 -2.8863895
## 1271 2.05089054 -1.73125568 2.61275434 0.08364445 -2.8863895
## 1272 2.05089054 -1.73125568 2.61275434 0.08364445 -2.8863895
## 1273 4.93622628 -3.61893379 -4.60511408 -2.51925292 14.1122007
## 1274 4.93622628 -3.61893379 -4.60511408 -2.51925292 14.1122007
## 1275 4.93622628 -3.61893379 -4.60511408 -2.51925292 14.1122007
## 1276 4.93622628 -3.61893379 -4.60511408 -2.51925292 14.1122007
## 1277 4.93622628 -3.61893379 -4.60511408 -2.51925292 14.1122007
## 1278 0.78349204 2.99977804 -1.18754882 2.65058139 -5.4057493
## 1279 0.78349204 2.99977804 -1.18754882 2.65058139 -5.4057493
## 1280 0.78349204 2.99977804 -1.18754882 2.65058139 -5.4057493
## 1281 0.78349204 2.99977804 -1.18754882 2.65058139 -5.4057493
## 1282 0.78349204 2.99977804 -1.18754882 2.65058139 -5.4057493
## 1283 -6.12436239 16.70402058 4.71188868 -3.28826427 -8.3062448
## 1284 -6.12436239 16.70402058 4.71188868 -3.28826427 -8.3062448
## 1285 -6.12436239 16.70402058 4.71188868 -3.28826427 -8.3062448
## 1286 -6.12436239 16.70402058 4.71188868 -3.28826427 -8.3062448
## 1287 -6.12436239 16.70402058 4.71188868 -3.28826427 -8.3062448
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 4.28286578 -0.48430980 -2.12133686 2.99365457 -3.9165207
## 1299 4.28286578 -0.48430980 -2.12133686 2.99365457 -3.9165207
## 1300 4.28286578 -0.48430980 -2.12133686 2.99365457 -3.9165207
## 1301 4.28286578 -0.48430980 -2.12133686 2.99365457 -3.9165207
## 1302 4.28286578 -0.48430980 -2.12133686 2.99365457 -3.9165207
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 -12.60449293 12.39350055 3.30373693 3.72067836 -6.7195829
## 1314 -12.60449293 12.39350055 3.30373693 3.72067836 -6.7195829
## 1315 -12.60449293 12.39350055 3.30373693 3.72067836 -6.7195829
## 1316 -12.60449293 12.39350055 3.30373693 3.72067836 -6.7195829
## 1317 -12.60449293 12.39350055 3.30373693 3.72067836 -6.7195829
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 -1.29963482 -3.46014763 4.69714936 -0.50259332 -2.8594265
## 1364 -1.29963482 -3.46014763 4.69714936 -0.50259332 -2.8594265
## 1365 -1.29963482 -3.46014763 4.69714936 -0.50259332 -2.8594265
## 1366 -1.29963482 -3.46014763 4.69714936 -0.50259332 -2.8594265
## 1367 -1.29963482 -3.46014763 4.69714936 -0.50259332 -2.8594265
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 -2.53447039 -7.67705985 -2.30334749 -3.82946302 -2.9475953
## 1379 -2.53447039 -7.67705985 -2.30334749 -3.82946302 -2.9475953
## 1380 -2.53447039 -7.67705985 -2.30334749 -3.82946302 -2.9475953
## 1381 -2.53447039 -7.67705985 -2.30334749 -3.82946302 -2.9475953
## 1382 -2.53447039 -7.67705985 -2.30334749 -3.82946302 -2.9475953
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 -1.18711872 3.06045368 -5.57858723 4.72325735 -2.0375272
## 1389 -1.18711872 3.06045368 -5.57858723 4.72325735 -2.0375272
## 1390 -1.18711872 3.06045368 -5.57858723 4.72325735 -2.0375272
## 1391 -1.18711872 3.06045368 -5.57858723 4.72325735 -2.0375272
## 1392 -1.18711872 3.06045368 -5.57858723 4.72325735 -2.0375272
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 39.47599035 -6.10462951 9.54856934 18.48179714 -7.4616013
## 1414 39.47599035 -6.10462951 9.54856934 18.48179714 -7.4616013
## 1415 39.47599035 -6.10462951 9.54856934 18.48179714 -7.4616013
## 1416 39.47599035 -6.10462951 9.54856934 18.48179714 -7.4616013
## 1417 39.47599035 -6.10462951 9.54856934 18.48179714 -7.4616013
## 1418 2.10027724 -4.16377189 -2.96532772 -7.01179818 -0.9927865
## 1419 2.10027724 -4.16377189 -2.96532772 -7.01179818 -0.9927865
## 1420 2.10027724 -4.16377189 -2.96532772 -7.01179818 -0.9927865
## 1421 2.10027724 -4.16377189 -2.96532772 -7.01179818 -0.9927865
## 1422 2.10027724 -4.16377189 -2.96532772 -7.01179818 -0.9927865
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -18.12142426 2.89785016 18.14116033 -11.72444453 -1.3220413
## 1429 -18.12142426 2.89785016 18.14116033 -11.72444453 -1.3220413
## 1430 -18.12142426 2.89785016 18.14116033 -11.72444453 -1.3220413
## 1431 -18.12142426 2.89785016 18.14116033 -11.72444453 -1.3220413
## 1432 -18.12142426 2.89785016 18.14116033 -11.72444453 -1.3220413
## 1433 23.32713836 -3.20913357 1.08614842 0.67317698 -2.8343081
## 1434 23.32713836 -3.20913357 1.08614842 0.67317698 -2.8343081
## 1435 23.32713836 -3.20913357 1.08614842 0.67317698 -2.8343081
## 1436 23.32713836 -3.20913357 1.08614842 0.67317698 -2.8343081
## 1437 23.32713836 -3.20913357 1.08614842 0.67317698 -2.8343081
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 12.21980731 66.48259252 -2.54991083 2.44030611 -4.5656317
## 1444 12.21980731 66.48259252 -2.54991083 2.44030611 -4.5656317
## 1445 12.21980731 66.48259252 -2.54991083 2.44030611 -4.5656317
## 1446 12.21980731 66.48259252 -2.54991083 2.44030611 -4.5656317
## 1447 12.21980731 66.48259252 -2.54991083 2.44030611 -4.5656317
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 0.46677348 5.51007637 5.18907217 -10.26264972 -1.8850585
## 1464 0.46677348 5.51007637 5.18907217 -10.26264972 -1.8850585
## 1465 0.46677348 5.51007637 5.18907217 -10.26264972 -1.8850585
## 1466 0.46677348 5.51007637 5.18907217 -10.26264972 -1.8850585
## 1467 0.46677348 5.51007637 5.18907217 -10.26264972 -1.8850585
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 -4.98627203 -3.62918396 -4.59822292 2.48749036 -1.6565466
## 1489 -4.98627203 -3.62918396 -4.59822292 2.48749036 -1.6565466
## 1490 -4.98627203 -3.62918396 -4.59822292 2.48749036 -1.6565466
## 1491 -4.98627203 -3.62918396 -4.59822292 2.48749036 -1.6565466
## 1492 -4.98627203 -3.62918396 -4.59822292 2.48749036 -1.6565466
## 1493 17.56904111 1.38653112 -16.47917705 52.54166746 -8.9044737
## 1494 17.56904111 1.38653112 -16.47917705 52.54166746 -8.9044737
## 1495 17.56904111 1.38653112 -16.47917705 52.54166746 -8.9044737
## 1496 17.56904111 1.38653112 -16.47917705 52.54166746 -8.9044737
## 1497 17.56904111 1.38653112 -16.47917705 52.54166746 -8.9044737
## 1498 -1.15036413 -9.05428365 10.59795176 -8.82389580 -2.1129962
## 1499 -1.15036413 -9.05428365 10.59795176 -8.82389580 -2.1129962
## 1500 -1.15036413 -9.05428365 10.59795176 -8.82389580 -2.1129962
## 1501 -1.15036413 -9.05428365 10.59795176 -8.82389580 -2.1129962
## 1502 -1.15036413 -9.05428365 10.59795176 -8.82389580 -2.1129962
## 1503 13.27557574 10.25404094 9.14203507 -44.83218278 -4.0826257
## 1504 13.27557574 10.25404094 9.14203507 -44.83218278 -4.0826257
## 1505 13.27557574 10.25404094 9.14203507 -44.83218278 -4.0826257
## 1506 13.27557574 10.25404094 9.14203507 -44.83218278 -4.0826257
## 1507 13.27557574 10.25404094 9.14203507 -44.83218278 -4.0826257
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 -4.04804066 -6.23515177 -5.86290821 -12.01072509 -4.5344794
## 1529 -4.04804066 -6.23515177 -5.86290821 -12.01072509 -4.5344794
## 1530 -4.04804066 -6.23515177 -5.86290821 -12.01072509 -4.5344794
## 1531 -4.04804066 -6.23515177 -5.86290821 -12.01072509 -4.5344794
## 1532 -4.04804066 -6.23515177 -5.86290821 -12.01072509 -4.5344794
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC73_score PC23_score PC44_score PC8_score PC101_score
## 1 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 2 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 3 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 4 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 5 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 6 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 7 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 8 -9.74678496 1.093731228 5.60901944 -8.52457907 3.60645223
## 9 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 10 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 11 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 12 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 13 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 14 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 15 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 16 -0.82788808 -2.445804941 -5.89198219 -2.93388796 10.58087798
## 17 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 18 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 19 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 20 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 21 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 22 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 23 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 24 -4.35331528 6.870798587 16.68215134 -5.76773905 0.35867672
## 25 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 26 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 27 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 28 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 29 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 30 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 31 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 32 -7.61313203 -5.917409095 -36.58243400 0.33958837 -0.44757549
## 33 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 34 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 35 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 36 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 37 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 38 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 39 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 40 29.96439745 -0.611678288 -8.52403813 -4.57041260 -3.95165840
## 41 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 42 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 43 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 44 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 45 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 46 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 47 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 48 1.32822541 7.320084899 -0.38798339 6.40156569 -1.51028947
## 49 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 50 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 51 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 52 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 53 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 54 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 55 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 56 1.47019443 16.844943834 -3.53175880 -33.87757501 0.76200825
## 57 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 58 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 59 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 60 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 61 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 62 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 63 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 64 -3.95223486 -2.447339798 17.70078792 -5.81997882 6.55293898
## 65 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 66 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 67 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 68 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 69 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 70 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 71 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 72 -18.15122217 -2.026539800 -36.04579813 -6.08969887 -2.93319392
## 73 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 74 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 75 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 76 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 77 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 78 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 79 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 80 -22.05230777 11.543229420 2.99610456 -10.72774841 -5.78676331
## 81 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 82 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 83 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 84 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 85 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 86 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 87 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 88 -7.57203476 -7.178703329 1.24620005 -2.98668480 -3.55643436
## 89 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 90 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 91 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 92 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 93 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 94 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 95 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 96 -1.40108746 19.442187722 9.52797978 -1.24737699 -0.74921682
## 97 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 98 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 99 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 100 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 101 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 102 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 103 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 104 12.45822754 -2.092789247 -21.94638858 -1.51681627 0.92909062
## 105 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 106 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 107 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 108 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 109 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 110 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 111 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 112 1.69378910 3.849057139 0.22255773 -2.25251051 5.03279083
## 113 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 114 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 115 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 116 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 117 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 118 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 119 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 120 5.46661453 -2.650912454 6.49175989 -10.62839909 3.68141735
## 121 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 122 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 123 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 124 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 125 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 126 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 127 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 128 -2.33774539 -0.947242618 -42.12648832 -5.31232608 1.21706835
## 129 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 130 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 131 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 132 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 133 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 134 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 135 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 136 -9.51873502 -0.671898146 -3.94896137 -3.60136026 1.45007689
## 137 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 138 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 139 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 140 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 141 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 142 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 143 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 144 -0.16751334 -6.056335364 0.94505685 109.72718844 -0.52744932
## 145 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 146 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 147 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 148 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 149 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 150 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 151 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 152 8.77183270 5.478181084 3.46980438 -5.28332291 3.33278804
## 153 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 154 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 155 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 156 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 157 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 158 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 159 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 160 2.95889584 8.792470914 -2.43632896 41.44596849 -0.03952254
## 161 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 162 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 163 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 164 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 165 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 166 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 167 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 168 21.36431790 -3.403073526 17.11700069 3.58117932 0.54227012
## 169 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 170 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 171 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 172 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 173 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 174 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 175 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 176 -2.82643647 -0.529204029 -1.27543881 -2.34165077 -9.42911604
## 177 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 178 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 179 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 180 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 181 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 182 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 183 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 184 -7.14389168 -5.389221762 -3.16517279 -1.29918986 -9.74665652
## 185 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 186 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 187 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 188 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 189 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 190 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 191 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 192 -1.48640478 0.224099637 4.93856454 -25.19334628 -0.69089925
## 193 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 194 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 195 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 196 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 197 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 198 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 199 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 200 12.57350959 -2.680236324 31.32837861 -3.32134731 -2.68566165
## 201 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 202 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 203 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 204 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 205 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 206 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 207 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 208 1.42404416 33.011675570 -25.43956528 -13.11947301 1.90040299
## 209 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 210 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 211 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 212 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 213 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 214 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 215 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 216 -4.61322288 -81.663757403 -6.44492291 -16.55697240 0.16721675
## 217 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 218 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 219 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 220 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 221 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 222 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 223 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 224 1.22172171 1.843941370 3.32105497 2.31995452 0.81249326
## 225 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 226 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 227 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 228 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 229 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 230 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 231 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 232 -4.21867908 1.328159569 0.64941073 -2.14052600 -5.61970651
## 233 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 234 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 235 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 236 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 237 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 238 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 239 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 240 0.48593258 -21.209967622 -12.13248221 9.56040017 -3.26356401
## 241 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 242 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 243 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 244 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 245 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 246 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 247 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 248 -4.75007217 0.576577044 7.36872951 -3.17603241 3.67679905
## 249 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 250 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 251 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 252 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 253 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 254 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 255 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 256 27.95021217 0.842304865 6.94737715 -4.89399776 -3.94458285
## 257 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 258 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 259 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 260 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 261 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 262 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 263 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 264 3.42147483 -3.405344622 5.69719013 -0.37329023 12.00024148
## 265 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 266 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 267 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 268 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 269 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 270 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 271 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 272 7.80826119 -9.036421065 26.92696718 -5.57485603 -4.10411881
## 273 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 274 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 275 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 276 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 277 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 278 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 279 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 280 6.75513523 1.104031959 -5.69231672 -10.72471513 -0.22107448
## 281 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 282 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 283 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 284 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 285 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 286 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 287 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 288 0.04268940 7.977385876 12.03105482 0.66642553 -3.83246938
## 289 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 290 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 291 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 292 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 293 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 294 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 295 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 296 -28.33479307 -6.288111074 -9.42681221 -1.53258299 5.24389421
## 297 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 298 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 299 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 300 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 301 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 302 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 303 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 304 4.65229090 -2.577755114 0.01068608 -0.05578731 -2.83587860
## 305 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 306 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 307 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 308 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 309 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 310 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 311 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 312 2.92893901 -3.493586343 5.83874264 -0.72543734 8.80137947
## 313 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 314 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 315 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 316 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 317 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 318 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 319 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 320 -0.08739534 -8.745635440 7.50212419 -5.66527042 5.34188566
## 321 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 322 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 323 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 324 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 325 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 326 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 327 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 328 3.95828787 -9.720817468 30.35354167 -2.51438950 -1.32251800
## 329 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 330 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 331 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 332 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 333 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 334 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 335 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 336 5.17709949 -8.618996388 -1.21252900 1.45598940 4.01930642
## 337 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 338 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 339 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 340 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 341 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 342 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 343 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 344 -8.58756225 -20.675801024 -5.55724941 3.18445394 -1.45364134
## 345 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 346 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 347 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 348 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 349 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 350 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 351 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 352 10.75102699 22.181274683 -13.18277069 -3.77593472 -1.65385986
## 353 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 354 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 355 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 356 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 357 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 358 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 359 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 360 -9.75539033 4.282958473 -8.72579284 2.40907847 0.69539276
## 361 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 362 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 363 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 364 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 365 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 366 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 367 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 368 -1.10684775 -8.692274776 7.31590918 -36.22738805 -1.51095448
## 369 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 370 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 371 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 372 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 373 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 374 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 375 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 376 -4.42465777 2.859949092 9.07246959 -0.89797857 1.27493889
## 377 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 378 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 379 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 380 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 381 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 382 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 383 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 384 -4.55308938 6.273931218 -5.26483339 0.91359878 9.88043580
## 385 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 386 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 387 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 388 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 389 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 390 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 391 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 392 -1.09290882 -5.265535464 1.42626405 1.43036707 -50.79094482
## 393 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 394 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 395 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 396 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 397 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 398 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 399 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 400 0.81268324 0.682438918 -3.13365407 -3.61018124 -17.27078869
## 401 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 402 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 403 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 404 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 405 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 406 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 407 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 408 8.12876939 6.588284489 -38.02769360 -2.18857959 -0.75549500
## 409 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 410 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 411 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 412 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 413 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 414 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 415 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 416 -12.78056045 5.891150798 21.21160764 -5.13557574 -0.77319730
## 417 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 418 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 419 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 420 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 421 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 422 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 423 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 424 -2.60726482 -1.508314344 8.94535505 -2.77011723 25.54883827
## 425 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 426 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 427 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 428 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 429 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 430 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 431 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 432 -1.69166644 2.264571878 32.86070054 -5.22871325 1.77713484
## 433 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 434 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 435 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 436 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 437 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 438 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 439 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 440 30.50802783 -5.084916804 -8.40833279 0.65993252 3.98157643
## 441 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 442 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 443 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 444 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 445 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 446 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 447 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 448 0.65222459 1.472353341 -8.22680365 -17.62738156 -0.11013758
## 449 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 450 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 451 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 452 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 453 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 454 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 455 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 456 22.34823019 2.030376932 -0.04216746 -2.37476356 -5.45079957
## 457 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 458 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 459 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 460 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 461 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 462 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 463 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 464 65.75362085 -5.853219015 -1.95697856 -5.71655511 8.23670988
## 465 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 466 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 467 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 468 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 469 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 470 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 471 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 472 4.40596318 -6.102981448 -1.14712572 -0.17807382 2.21855205
## 473 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 474 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 475 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 476 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 477 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 478 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 479 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 480 1.95458379 66.471411331 6.06591513 -11.01403709 -1.29281705
## 481 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 482 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 483 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 484 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 485 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 486 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 487 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 488 -0.41702662 33.960245980 -3.73678572 11.75068048 -0.40583891
## 489 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 490 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 491 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 492 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 493 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 494 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 495 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 496 -0.91491679 -26.623958552 -5.21181171 1.90670788 -1.59621909
## 497 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 498 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 499 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 500 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 501 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 502 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 503 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 504 -11.43759101 -4.174457880 0.94356922 -0.91892301 -3.97540662
## 505 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 506 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 507 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 508 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 509 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 510 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 511 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 512 -6.60780356 -7.498699262 -2.08110260 -0.98357903 -0.62453740
## 513 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 514 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 515 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 516 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 517 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 518 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 519 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 520 6.53644864 1.934107970 -5.80380092 4.21174276 5.15059560
## 521 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 522 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 523 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 524 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 525 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 526 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 527 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 528 8.45956096 -2.742258216 4.45147533 -3.20425174 3.78507571
## 529 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 530 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 531 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 532 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 533 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 534 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 535 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 536 2.06635794 -46.825289129 -8.79853102 9.21287512 -0.12327856
## 537 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 538 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 539 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 540 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 541 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 542 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 543 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 544 -16.45095710 2.353098227 5.68708473 -2.13109140 1.97646350
## 545 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 546 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 547 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 548 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 549 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 550 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 551 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 552 -0.83908442 -5.300983794 0.88252427 -2.13695440 5.20228397
## 553 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 554 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 555 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 556 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 557 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 558 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 559 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 560 3.67129002 0.205674873 5.61116123 2.91123468 -2.33618969
## 561 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 562 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 563 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 564 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 565 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 566 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 567 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 568 -4.33213587 4.359516986 4.75840141 0.99261810 8.07337577
## 569 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 570 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 571 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 572 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 573 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 574 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 575 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 576 2.34841953 1.094882078 -1.34485025 -1.30411430 0.58758898
## 577 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 578 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 579 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 580 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 581 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 582 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 583 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 584 -6.58341182 -0.923209922 13.87079683 -2.22692010 -3.82596873
## 585 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 586 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 587 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 588 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 589 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 590 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 591 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 592 -1.34435487 -6.424569257 -0.20702745 54.10378824 2.64315424
## 593 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 594 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 595 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 596 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 597 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 598 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 599 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 600 -2.35952650 13.759884019 8.60743951 2.92952804 1.21762143
## 601 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 602 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 603 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 604 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 605 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 606 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 607 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 608 -21.03521017 -5.773741756 9.03987679 -0.06872482 19.14954665
## 609 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 610 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 611 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 612 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 613 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 614 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 615 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 616 -6.68058781 -9.046130329 1.08935083 0.82272242 37.84859925
## 617 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 618 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 619 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 620 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 621 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 622 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 623 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 624 -10.43530610 -1.738024961 21.66255821 2.06916724 0.65412346
## 625 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 626 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 627 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 628 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 629 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 630 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 631 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 632 15.53346807 -9.107655410 12.92963420 2.02046802 -2.98125149
## 633 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 634 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 635 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 636 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 637 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 638 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 639 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 640 20.77041575 4.150623816 9.11223804 2.82630347 6.89249472
## 641 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 642 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 643 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 644 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 645 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 646 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 647 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 648 -5.36082594 -2.352446763 2.70601277 -16.65845462 1.31522662
## 649 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 650 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 651 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 652 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 653 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 654 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 655 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 656 -28.46523563 0.742354615 7.62535794 4.42082255 -4.28412127
## 657 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 658 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 659 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 660 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 661 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 662 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 663 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 664 7.39280168 -12.339042274 -47.02798610 -0.07225226 -0.97107289
## 665 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 666 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 667 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 668 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 669 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 670 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 671 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 672 2.45365935 -9.274518389 14.82312642 9.14702866 2.07951151
## 673 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 674 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 675 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 676 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 677 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 678 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 679 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 680 6.11315048 1.677522078 6.48035561 -1.11941374 -22.98432132
## 681 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 682 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 683 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 684 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 685 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 686 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 687 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 688 12.35643632 2.673497409 4.11433887 4.61821934 -0.26580188
## 689 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 690 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 691 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 692 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 693 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 694 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 695 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 696 -0.63829246 -3.171868635 1.65322377 -1.32145476 -78.39143279
## 697 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 698 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 699 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 700 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 701 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 702 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 703 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 704 -1.70944131 4.354776484 -36.66680277 -4.61750638 -0.84649823
## 705 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 706 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 707 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 708 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 709 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 710 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 711 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 712 -0.85872812 -3.650314875 1.26701121 -3.27060257 4.52816492
## 713 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 714 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 715 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 716 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 717 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 718 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 719 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 720 3.06997634 -2.715268101 2.91649533 -1.17572127 -1.13234396
## 721 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 722 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 723 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 724 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 725 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 726 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 727 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 728 -13.60513465 3.227947905 -1.02580526 2.34797692 1.58302959
## 729 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 730 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 731 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 732 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 733 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 734 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 735 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 736 0.08390661 0.832050605 0.78720295 45.01852618 1.60511295
## 737 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 738 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 739 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 740 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 741 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 742 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 743 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 744 -23.24962374 1.263834437 -7.03359189 -3.10312249 7.55084331
## 745 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 746 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 747 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 748 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 749 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 750 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 751 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 752 -14.34494411 -1.002913843 2.32327430 -4.58182201 -1.72191013
## 753 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 754 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 755 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 756 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 757 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 758 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 759 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 760 -34.82056690 0.478273733 12.98751888 -3.83382015 3.88989692
## 761 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 762 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 763 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 764 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 765 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 766 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 767 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 768 -15.47197267 -2.750553690 -5.56693347 2.60008790 1.15361053
## 769 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 770 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 771 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 772 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 773 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 774 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 775 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 776 -9.82779265 -2.772808912 -4.75473327 -1.05709005 0.33562428
## 777 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 778 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 779 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 780 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 781 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 782 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 783 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 784 4.26371222 -2.982874040 1.69415332 0.42461165 -0.37937028
## 785 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 786 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 787 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 788 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 789 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 790 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 791 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 792 1.57001798 1.444710872 2.21311466 35.53356036 -0.84846840
## 793 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 794 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 795 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 796 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 797 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 798 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 799 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 800 -3.11290060 14.859586664 -1.16403624 -0.69417875 -1.81043823
## 801 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 802 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 803 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 804 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 805 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 806 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 807 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 808 -9.90211921 1.425525583 1.60035275 -1.39055252 23.27561743
## 809 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 810 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 811 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 812 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 813 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 814 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 815 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 816 27.70785252 2.688003737 -4.25575022 -4.42644176 21.04067985
## 817 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 818 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 819 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 820 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 821 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 822 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 823 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 824 -4.59381093 3.366327173 -0.71771897 -2.51508571 -2.81719467
## 825 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 826 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 827 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 828 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 829 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 830 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 831 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 832 0.28784585 3.094761352 16.22119751 3.78307484 1.10742657
## 833 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 834 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 835 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 836 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 837 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 838 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 839 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 840 -1.06532430 -3.075704523 8.13425674 -1.53245424 0.73626052
## 841 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 842 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 843 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 844 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 845 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 846 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 847 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 848 -10.02858002 10.019818908 -11.32123351 -1.42033819 1.99988155
## 849 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 850 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 851 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 852 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 853 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 854 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 855 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 856 -1.93068030 44.505299243 -2.14599077 13.76650046 0.11966788
## 857 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 858 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 859 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 860 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 861 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 862 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 863 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 864 0.25914991 17.968258684 -29.61979330 6.11277918 3.03395334
## 865 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 866 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 867 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 868 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 869 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 870 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 871 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 872 -3.90761515 0.465900689 -1.82707740 -3.84188158 -0.63686527
## 873 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 874 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 875 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 876 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 877 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 878 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 879 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 880 -0.27783510 7.266163643 -4.76276782 0.69824381 1.84493626
## 881 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 882 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 883 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 884 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 885 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 886 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 887 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 888 1.05474049 2.898065775 4.15342449 -1.36788489 -28.47425403
## 889 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 890 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 891 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 892 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 893 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 894 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 895 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 896 2.64854567 1.141868540 2.17694796 0.04661010 -0.92782381
## 897 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 898 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 899 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 900 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 901 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 902 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 903 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 904 2.90918179 -15.035464032 -2.52084723 -25.39980075 1.12249173
## 905 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 906 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 907 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 908 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 909 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 910 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 911 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 912 19.61601983 2.940436732 3.13583976 -4.90257064 5.49507943
## 913 -0.94240014 -0.470065579 -2.93227210 3.98315712 1.22904215
## 914 -0.94240014 -0.470065579 -2.93227210 3.98315712 1.22904215
## 915 -0.94240014 -0.470065579 -2.93227210 3.98315712 1.22904215
## 916 -0.94240014 -0.470065579 -2.93227210 3.98315712 1.22904215
## 917 -0.94240014 -0.470065579 -2.93227210 3.98315712 1.22904215
## 918 5.13772516 -0.174784017 -1.24219252 2.77452026 -24.11255015
## 919 5.13772516 -0.174784017 -1.24219252 2.77452026 -24.11255015
## 920 5.13772516 -0.174784017 -1.24219252 2.77452026 -24.11255015
## 921 5.13772516 -0.174784017 -1.24219252 2.77452026 -24.11255015
## 922 5.13772516 -0.174784017 -1.24219252 2.77452026 -24.11255015
## 923 NA NA NA NA NA
## 924 NA NA NA NA NA
## 925 NA NA NA NA NA
## 926 NA NA NA NA NA
## 927 NA NA NA NA NA
## 928 NA NA NA NA NA
## 929 NA NA NA NA NA
## 930 NA NA NA NA NA
## 931 NA NA NA NA NA
## 932 NA NA NA NA NA
## 933 NA NA NA NA NA
## 934 NA NA NA NA NA
## 935 NA NA NA NA NA
## 936 NA NA NA NA NA
## 937 NA NA NA NA NA
## 938 8.98024333 2.132174874 -7.71192754 3.17302434 -24.63663400
## 939 8.98024333 2.132174874 -7.71192754 3.17302434 -24.63663400
## 940 8.98024333 2.132174874 -7.71192754 3.17302434 -24.63663400
## 941 8.98024333 2.132174874 -7.71192754 3.17302434 -24.63663400
## 942 8.98024333 2.132174874 -7.71192754 3.17302434 -24.63663400
## 943 NA NA NA NA NA
## 944 NA NA NA NA NA
## 945 NA NA NA NA NA
## 946 NA NA NA NA NA
## 947 NA NA NA NA NA
## 948 NA NA NA NA NA
## 949 NA NA NA NA NA
## 950 NA NA NA NA NA
## 951 NA NA NA NA NA
## 952 NA NA NA NA NA
## 953 -12.18125013 9.021279509 -4.87586594 10.85432646 6.07476261
## 954 -12.18125013 9.021279509 -4.87586594 10.85432646 6.07476261
## 955 -12.18125013 9.021279509 -4.87586594 10.85432646 6.07476261
## 956 -12.18125013 9.021279509 -4.87586594 10.85432646 6.07476261
## 957 -12.18125013 9.021279509 -4.87586594 10.85432646 6.07476261
## 958 3.57476691 2.975198291 -4.03096450 3.16846954 7.24614779
## 959 3.57476691 2.975198291 -4.03096450 3.16846954 7.24614779
## 960 3.57476691 2.975198291 -4.03096450 3.16846954 7.24614779
## 961 3.57476691 2.975198291 -4.03096450 3.16846954 7.24614779
## 962 3.57476691 2.975198291 -4.03096450 3.16846954 7.24614779
## 963 NA NA NA NA NA
## 964 NA NA NA NA NA
## 965 NA NA NA NA NA
## 966 NA NA NA NA NA
## 967 NA NA NA NA NA
## 968 NA NA NA NA NA
## 969 NA NA NA NA NA
## 970 NA NA NA NA NA
## 971 NA NA NA NA NA
## 972 NA NA NA NA NA
## 973 3.62283467 -35.381107747 4.81722061 -19.46452226 -1.65711424
## 974 3.62283467 -35.381107747 4.81722061 -19.46452226 -1.65711424
## 975 3.62283467 -35.381107747 4.81722061 -19.46452226 -1.65711424
## 976 3.62283467 -35.381107747 4.81722061 -19.46452226 -1.65711424
## 977 3.62283467 -35.381107747 4.81722061 -19.46452226 -1.65711424
## 978 4.12955204 10.651683115 6.75244825 -9.76600952 0.79398099
## 979 4.12955204 10.651683115 6.75244825 -9.76600952 0.79398099
## 980 4.12955204 10.651683115 6.75244825 -9.76600952 0.79398099
## 981 4.12955204 10.651683115 6.75244825 -9.76600952 0.79398099
## 982 4.12955204 10.651683115 6.75244825 -9.76600952 0.79398099
## 983 NA NA NA NA NA
## 984 NA NA NA NA NA
## 985 NA NA NA NA NA
## 986 NA NA NA NA NA
## 987 NA NA NA NA NA
## 988 NA NA NA NA NA
## 989 NA NA NA NA NA
## 990 NA NA NA NA NA
## 991 NA NA NA NA NA
## 992 NA NA NA NA NA
## 993 -2.88199091 -5.067639738 -7.53434821 -43.46308715 -1.53026295
## 994 -2.88199091 -5.067639738 -7.53434821 -43.46308715 -1.53026295
## 995 -2.88199091 -5.067639738 -7.53434821 -43.46308715 -1.53026295
## 996 -2.88199091 -5.067639738 -7.53434821 -43.46308715 -1.53026295
## 997 -2.88199091 -5.067639738 -7.53434821 -43.46308715 -1.53026295
## 998 NA NA NA NA NA
## 999 NA NA NA NA NA
## 1000 NA NA NA NA NA
## 1001 NA NA NA NA NA
## 1002 NA NA NA NA NA
## 1003 NA NA NA NA NA
## 1004 NA NA NA NA NA
## 1005 NA NA NA NA NA
## 1006 NA NA NA NA NA
## 1007 NA NA NA NA NA
## 1008 35.53211518 8.251970585 8.39350405 2.08231606 6.53609457
## 1009 35.53211518 8.251970585 8.39350405 2.08231606 6.53609457
## 1010 35.53211518 8.251970585 8.39350405 2.08231606 6.53609457
## 1011 35.53211518 8.251970585 8.39350405 2.08231606 6.53609457
## 1012 35.53211518 8.251970585 8.39350405 2.08231606 6.53609457
## 1013 1.97789611 -17.151969236 -6.65646258 3.85894985 -3.23061727
## 1014 1.97789611 -17.151969236 -6.65646258 3.85894985 -3.23061727
## 1015 1.97789611 -17.151969236 -6.65646258 3.85894985 -3.23061727
## 1016 1.97789611 -17.151969236 -6.65646258 3.85894985 -3.23061727
## 1017 1.97789611 -17.151969236 -6.65646258 3.85894985 -3.23061727
## 1018 -14.04772789 7.840327238 36.60606726 1.56363397 2.08759537
## 1019 -14.04772789 7.840327238 36.60606726 1.56363397 2.08759537
## 1020 -14.04772789 7.840327238 36.60606726 1.56363397 2.08759537
## 1021 -14.04772789 7.840327238 36.60606726 1.56363397 2.08759537
## 1022 -14.04772789 7.840327238 36.60606726 1.56363397 2.08759537
## 1023 NA NA NA NA NA
## 1024 NA NA NA NA NA
## 1025 NA NA NA NA NA
## 1026 NA NA NA NA NA
## 1027 NA NA NA NA NA
## 1028 NA NA NA NA NA
## 1029 NA NA NA NA NA
## 1030 NA NA NA NA NA
## 1031 NA NA NA NA NA
## 1032 NA NA NA NA NA
## 1033 46.45981581 8.577702070 -5.74975990 5.85166734 4.60127566
## 1034 46.45981581 8.577702070 -5.74975990 5.85166734 4.60127566
## 1035 46.45981581 8.577702070 -5.74975990 5.85166734 4.60127566
## 1036 46.45981581 8.577702070 -5.74975990 5.85166734 4.60127566
## 1037 46.45981581 8.577702070 -5.74975990 5.85166734 4.60127566
## 1038 NA NA NA NA NA
## 1039 NA NA NA NA NA
## 1040 NA NA NA NA NA
## 1041 NA NA NA NA NA
## 1042 NA NA NA NA NA
## 1043 NA NA NA NA NA
## 1044 NA NA NA NA NA
## 1045 NA NA NA NA NA
## 1046 NA NA NA NA NA
## 1047 NA NA NA NA NA
## 1048 NA NA NA NA NA
## 1049 NA NA NA NA NA
## 1050 NA NA NA NA NA
## 1051 NA NA NA NA NA
## 1052 NA NA NA NA NA
## 1053 NA NA NA NA NA
## 1054 NA NA NA NA NA
## 1055 NA NA NA NA NA
## 1056 NA NA NA NA NA
## 1057 NA NA NA NA NA
## 1058 NA NA NA NA NA
## 1059 NA NA NA NA NA
## 1060 NA NA NA NA NA
## 1061 NA NA NA NA NA
## 1062 NA NA NA NA NA
## 1063 NA NA NA NA NA
## 1064 NA NA NA NA NA
## 1065 NA NA NA NA NA
## 1066 NA NA NA NA NA
## 1067 NA NA NA NA NA
## 1068 -4.48410335 63.048573992 -10.63312739 -3.75786515 -0.47004792
## 1069 -4.48410335 63.048573992 -10.63312739 -3.75786515 -0.47004792
## 1070 -4.48410335 63.048573992 -10.63312739 -3.75786515 -0.47004792
## 1071 -4.48410335 63.048573992 -10.63312739 -3.75786515 -0.47004792
## 1072 -4.48410335 63.048573992 -10.63312739 -3.75786515 -0.47004792
## 1073 -10.92135893 -18.690421003 -8.56582134 -6.95008061 -2.35008894
## 1074 -10.92135893 -18.690421003 -8.56582134 -6.95008061 -2.35008894
## 1075 -10.92135893 -18.690421003 -8.56582134 -6.95008061 -2.35008894
## 1076 -10.92135893 -18.690421003 -8.56582134 -6.95008061 -2.35008894
## 1077 -10.92135893 -18.690421003 -8.56582134 -6.95008061 -2.35008894
## 1078 NA NA NA NA NA
## 1079 NA NA NA NA NA
## 1080 NA NA NA NA NA
## 1081 NA NA NA NA NA
## 1082 NA NA NA NA NA
## 1083 7.51009511 20.440738847 -32.20312243 13.83024749 -5.32928243
## 1084 7.51009511 20.440738847 -32.20312243 13.83024749 -5.32928243
## 1085 7.51009511 20.440738847 -32.20312243 13.83024749 -5.32928243
## 1086 7.51009511 20.440738847 -32.20312243 13.83024749 -5.32928243
## 1087 7.51009511 20.440738847 -32.20312243 13.83024749 -5.32928243
## 1088 NA NA NA NA NA
## 1089 NA NA NA NA NA
## 1090 NA NA NA NA NA
## 1091 NA NA NA NA NA
## 1092 NA NA NA NA NA
## 1093 -24.93638246 3.159903461 3.84695433 -0.27407188 7.12338065
## 1094 -24.93638246 3.159903461 3.84695433 -0.27407188 7.12338065
## 1095 -24.93638246 3.159903461 3.84695433 -0.27407188 7.12338065
## 1096 -24.93638246 3.159903461 3.84695433 -0.27407188 7.12338065
## 1097 -24.93638246 3.159903461 3.84695433 -0.27407188 7.12338065
## 1098 NA NA NA NA NA
## 1099 NA NA NA NA NA
## 1100 NA NA NA NA NA
## 1101 NA NA NA NA NA
## 1102 NA NA NA NA NA
## 1103 3.78643692 -3.762732248 6.31147548 -0.92516871 -35.80965116
## 1104 3.78643692 -3.762732248 6.31147548 -0.92516871 -35.80965116
## 1105 3.78643692 -3.762732248 6.31147548 -0.92516871 -35.80965116
## 1106 3.78643692 -3.762732248 6.31147548 -0.92516871 -35.80965116
## 1107 3.78643692 -3.762732248 6.31147548 -0.92516871 -35.80965116
## 1108 NA NA NA NA NA
## 1109 NA NA NA NA NA
## 1110 NA NA NA NA NA
## 1111 NA NA NA NA NA
## 1112 NA NA NA NA NA
## 1113 -26.64274722 -0.973405231 -5.44752789 5.33688721 -6.93473637
## 1114 -26.64274722 -0.973405231 -5.44752789 5.33688721 -6.93473637
## 1115 -26.64274722 -0.973405231 -5.44752789 5.33688721 -6.93473637
## 1116 -26.64274722 -0.973405231 -5.44752789 5.33688721 -6.93473637
## 1117 -26.64274722 -0.973405231 -5.44752789 5.33688721 -6.93473637
## 1118 -28.43042049 7.109469587 -36.78276524 -11.85890498 2.02056163
## 1119 -28.43042049 7.109469587 -36.78276524 -11.85890498 2.02056163
## 1120 -28.43042049 7.109469587 -36.78276524 -11.85890498 2.02056163
## 1121 -28.43042049 7.109469587 -36.78276524 -11.85890498 2.02056163
## 1122 -28.43042049 7.109469587 -36.78276524 -11.85890498 2.02056163
## 1123 -50.11736474 7.444100807 8.12156862 1.38901027 -1.32312209
## 1124 -50.11736474 7.444100807 8.12156862 1.38901027 -1.32312209
## 1125 -50.11736474 7.444100807 8.12156862 1.38901027 -1.32312209
## 1126 -50.11736474 7.444100807 8.12156862 1.38901027 -1.32312209
## 1127 -50.11736474 7.444100807 8.12156862 1.38901027 -1.32312209
## 1128 NA NA NA NA NA
## 1129 NA NA NA NA NA
## 1130 NA NA NA NA NA
## 1131 NA NA NA NA NA
## 1132 NA NA NA NA NA
## 1133 41.19203949 9.458680131 13.41022305 -1.91136128 8.22491472
## 1134 41.19203949 9.458680131 13.41022305 -1.91136128 8.22491472
## 1135 41.19203949 9.458680131 13.41022305 -1.91136128 8.22491472
## 1136 41.19203949 9.458680131 13.41022305 -1.91136128 8.22491472
## 1137 41.19203949 9.458680131 13.41022305 -1.91136128 8.22491472
## 1138 NA NA NA NA NA
## 1139 NA NA NA NA NA
## 1140 NA NA NA NA NA
## 1141 NA NA NA NA NA
## 1142 NA NA NA NA NA
## 1143 2.94011661 14.568084349 -14.08737945 23.91506499 0.21008801
## 1144 2.94011661 14.568084349 -14.08737945 23.91506499 0.21008801
## 1145 2.94011661 14.568084349 -14.08737945 23.91506499 0.21008801
## 1146 2.94011661 14.568084349 -14.08737945 23.91506499 0.21008801
## 1147 2.94011661 14.568084349 -14.08737945 23.91506499 0.21008801
## 1148 NA NA NA NA NA
## 1149 NA NA NA NA NA
## 1150 NA NA NA NA NA
## 1151 NA NA NA NA NA
## 1152 NA NA NA NA NA
## 1153 -26.01874244 2.736568724 -27.34788180 2.70649541 -3.63114477
## 1154 -26.01874244 2.736568724 -27.34788180 2.70649541 -3.63114477
## 1155 -26.01874244 2.736568724 -27.34788180 2.70649541 -3.63114477
## 1156 -26.01874244 2.736568724 -27.34788180 2.70649541 -3.63114477
## 1157 -26.01874244 2.736568724 -27.34788180 2.70649541 -3.63114477
## 1158 -45.04955550 2.468159961 14.25904215 7.00583978 1.48443772
## 1159 -45.04955550 2.468159961 14.25904215 7.00583978 1.48443772
## 1160 -45.04955550 2.468159961 14.25904215 7.00583978 1.48443772
## 1161 -45.04955550 2.468159961 14.25904215 7.00583978 1.48443772
## 1162 -45.04955550 2.468159961 14.25904215 7.00583978 1.48443772
## 1163 NA NA NA NA NA
## 1164 NA NA NA NA NA
## 1165 NA NA NA NA NA
## 1166 NA NA NA NA NA
## 1167 NA NA NA NA NA
## 1168 NA NA NA NA NA
## 1169 NA NA NA NA NA
## 1170 NA NA NA NA NA
## 1171 NA NA NA NA NA
## 1172 NA NA NA NA NA
## 1173 NA NA NA NA NA
## 1174 NA NA NA NA NA
## 1175 NA NA NA NA NA
## 1176 NA NA NA NA NA
## 1177 NA NA NA NA NA
## 1178 NA NA NA NA NA
## 1179 NA NA NA NA NA
## 1180 NA NA NA NA NA
## 1181 NA NA NA NA NA
## 1182 NA NA NA NA NA
## 1183 NA NA NA NA NA
## 1184 NA NA NA NA NA
## 1185 NA NA NA NA NA
## 1186 NA NA NA NA NA
## 1187 NA NA NA NA NA
## 1188 -22.56684504 0.003533636 23.81838222 5.66842826 3.41234350
## 1189 -22.56684504 0.003533636 23.81838222 5.66842826 3.41234350
## 1190 -22.56684504 0.003533636 23.81838222 5.66842826 3.41234350
## 1191 -22.56684504 0.003533636 23.81838222 5.66842826 3.41234350
## 1192 -22.56684504 0.003533636 23.81838222 5.66842826 3.41234350
## 1193 -1.52105664 2.022399044 -21.96870080 -11.42758499 0.59673428
## 1194 -1.52105664 2.022399044 -21.96870080 -11.42758499 0.59673428
## 1195 -1.52105664 2.022399044 -21.96870080 -11.42758499 0.59673428
## 1196 -1.52105664 2.022399044 -21.96870080 -11.42758499 0.59673428
## 1197 -1.52105664 2.022399044 -21.96870080 -11.42758499 0.59673428
## 1198 27.79207346 10.122683048 26.69081827 10.81328468 -5.18140930
## 1199 27.79207346 10.122683048 26.69081827 10.81328468 -5.18140930
## 1200 27.79207346 10.122683048 26.69081827 10.81328468 -5.18140930
## 1201 27.79207346 10.122683048 26.69081827 10.81328468 -5.18140930
## 1202 27.79207346 10.122683048 26.69081827 10.81328468 -5.18140930
## 1203 -5.03061804 10.966474874 93.74827063 -5.76907299 -3.69262739
## 1204 -5.03061804 10.966474874 93.74827063 -5.76907299 -3.69262739
## 1205 -5.03061804 10.966474874 93.74827063 -5.76907299 -3.69262739
## 1206 -5.03061804 10.966474874 93.74827063 -5.76907299 -3.69262739
## 1207 -5.03061804 10.966474874 93.74827063 -5.76907299 -3.69262739
## 1208 NA NA NA NA NA
## 1209 NA NA NA NA NA
## 1210 NA NA NA NA NA
## 1211 NA NA NA NA NA
## 1212 NA NA NA NA NA
## 1213 6.49317073 0.506349945 23.42424928 -7.87531849 -0.97032570
## 1214 6.49317073 0.506349945 23.42424928 -7.87531849 -0.97032570
## 1215 6.49317073 0.506349945 23.42424928 -7.87531849 -0.97032570
## 1216 6.49317073 0.506349945 23.42424928 -7.87531849 -0.97032570
## 1217 6.49317073 0.506349945 23.42424928 -7.87531849 -0.97032570
## 1218 35.39043796 1.302891629 12.18776676 8.98375249 -5.60767169
## 1219 35.39043796 1.302891629 12.18776676 8.98375249 -5.60767169
## 1220 35.39043796 1.302891629 12.18776676 8.98375249 -5.60767169
## 1221 35.39043796 1.302891629 12.18776676 8.98375249 -5.60767169
## 1222 35.39043796 1.302891629 12.18776676 8.98375249 -5.60767169
## 1223 NA NA NA NA NA
## 1224 NA NA NA NA NA
## 1225 NA NA NA NA NA
## 1226 NA NA NA NA NA
## 1227 NA NA NA NA NA
## 1228 NA NA NA NA NA
## 1229 NA NA NA NA NA
## 1230 NA NA NA NA NA
## 1231 NA NA NA NA NA
## 1232 NA NA NA NA NA
## 1233 NA NA NA NA NA
## 1234 NA NA NA NA NA
## 1235 NA NA NA NA NA
## 1236 NA NA NA NA NA
## 1237 NA NA NA NA NA
## 1238 28.60592758 -8.766060326 -33.78320260 2.56543683 -1.40904765
## 1239 28.60592758 -8.766060326 -33.78320260 2.56543683 -1.40904765
## 1240 28.60592758 -8.766060326 -33.78320260 2.56543683 -1.40904765
## 1241 28.60592758 -8.766060326 -33.78320260 2.56543683 -1.40904765
## 1242 28.60592758 -8.766060326 -33.78320260 2.56543683 -1.40904765
## 1243 4.37699140 23.046090096 9.73049123 35.08324648 -3.02243345
## 1244 4.37699140 23.046090096 9.73049123 35.08324648 -3.02243345
## 1245 4.37699140 23.046090096 9.73049123 35.08324648 -3.02243345
## 1246 4.37699140 23.046090096 9.73049123 35.08324648 -3.02243345
## 1247 4.37699140 23.046090096 9.73049123 35.08324648 -3.02243345
## 1248 NA NA NA NA NA
## 1249 NA NA NA NA NA
## 1250 NA NA NA NA NA
## 1251 NA NA NA NA NA
## 1252 NA NA NA NA NA
## 1253 NA NA NA NA NA
## 1254 NA NA NA NA NA
## 1255 NA NA NA NA NA
## 1256 NA NA NA NA NA
## 1257 NA NA NA NA NA
## 1258 NA NA NA NA NA
## 1259 NA NA NA NA NA
## 1260 NA NA NA NA NA
## 1261 NA NA NA NA NA
## 1262 NA NA NA NA NA
## 1263 -2.42590034 -15.389952821 3.70594706 -4.89321045 4.33716978
## 1264 -2.42590034 -15.389952821 3.70594706 -4.89321045 4.33716978
## 1265 -2.42590034 -15.389952821 3.70594706 -4.89321045 4.33716978
## 1266 -2.42590034 -15.389952821 3.70594706 -4.89321045 4.33716978
## 1267 -2.42590034 -15.389952821 3.70594706 -4.89321045 4.33716978
## 1268 2.45837568 0.254049031 -1.35675829 6.21290241 33.43746765
## 1269 2.45837568 0.254049031 -1.35675829 6.21290241 33.43746765
## 1270 2.45837568 0.254049031 -1.35675829 6.21290241 33.43746765
## 1271 2.45837568 0.254049031 -1.35675829 6.21290241 33.43746765
## 1272 2.45837568 0.254049031 -1.35675829 6.21290241 33.43746765
## 1273 4.01331706 0.825916976 -1.54158743 36.15143122 -1.60149772
## 1274 4.01331706 0.825916976 -1.54158743 36.15143122 -1.60149772
## 1275 4.01331706 0.825916976 -1.54158743 36.15143122 -1.60149772
## 1276 4.01331706 0.825916976 -1.54158743 36.15143122 -1.60149772
## 1277 4.01331706 0.825916976 -1.54158743 36.15143122 -1.60149772
## 1278 1.53631017 -0.437355805 2.76495286 2.34577752 115.81134828
## 1279 1.53631017 -0.437355805 2.76495286 2.34577752 115.81134828
## 1280 1.53631017 -0.437355805 2.76495286 2.34577752 115.81134828
## 1281 1.53631017 -0.437355805 2.76495286 2.34577752 115.81134828
## 1282 1.53631017 -0.437355805 2.76495286 2.34577752 115.81134828
## 1283 6.37715566 -11.791050538 7.82021936 6.88260337 -0.25535622
## 1284 6.37715566 -11.791050538 7.82021936 6.88260337 -0.25535622
## 1285 6.37715566 -11.791050538 7.82021936 6.88260337 -0.25535622
## 1286 6.37715566 -11.791050538 7.82021936 6.88260337 -0.25535622
## 1287 6.37715566 -11.791050538 7.82021936 6.88260337 -0.25535622
## 1288 NA NA NA NA NA
## 1289 NA NA NA NA NA
## 1290 NA NA NA NA NA
## 1291 NA NA NA NA NA
## 1292 NA NA NA NA NA
## 1293 NA NA NA NA NA
## 1294 NA NA NA NA NA
## 1295 NA NA NA NA NA
## 1296 NA NA NA NA NA
## 1297 NA NA NA NA NA
## 1298 0.90253176 0.149971735 -2.27746872 5.02280439 -31.02890584
## 1299 0.90253176 0.149971735 -2.27746872 5.02280439 -31.02890584
## 1300 0.90253176 0.149971735 -2.27746872 5.02280439 -31.02890584
## 1301 0.90253176 0.149971735 -2.27746872 5.02280439 -31.02890584
## 1302 0.90253176 0.149971735 -2.27746872 5.02280439 -31.02890584
## 1303 NA NA NA NA NA
## 1304 NA NA NA NA NA
## 1305 NA NA NA NA NA
## 1306 NA NA NA NA NA
## 1307 NA NA NA NA NA
## 1308 NA NA NA NA NA
## 1309 NA NA NA NA NA
## 1310 NA NA NA NA NA
## 1311 NA NA NA NA NA
## 1312 NA NA NA NA NA
## 1313 2.55903123 19.783684954 -6.61377981 -15.76308821 2.66216675
## 1314 2.55903123 19.783684954 -6.61377981 -15.76308821 2.66216675
## 1315 2.55903123 19.783684954 -6.61377981 -15.76308821 2.66216675
## 1316 2.55903123 19.783684954 -6.61377981 -15.76308821 2.66216675
## 1317 2.55903123 19.783684954 -6.61377981 -15.76308821 2.66216675
## 1318 NA NA NA NA NA
## 1319 NA NA NA NA NA
## 1320 NA NA NA NA NA
## 1321 NA NA NA NA NA
## 1322 NA NA NA NA NA
## 1323 NA NA NA NA NA
## 1324 NA NA NA NA NA
## 1325 NA NA NA NA NA
## 1326 NA NA NA NA NA
## 1327 NA NA NA NA NA
## 1328 NA NA NA NA NA
## 1329 NA NA NA NA NA
## 1330 NA NA NA NA NA
## 1331 NA NA NA NA NA
## 1332 NA NA NA NA NA
## 1333 NA NA NA NA NA
## 1334 NA NA NA NA NA
## 1335 NA NA NA NA NA
## 1336 NA NA NA NA NA
## 1337 NA NA NA NA NA
## 1338 NA NA NA NA NA
## 1339 NA NA NA NA NA
## 1340 NA NA NA NA NA
## 1341 NA NA NA NA NA
## 1342 NA NA NA NA NA
## 1343 NA NA NA NA NA
## 1344 NA NA NA NA NA
## 1345 NA NA NA NA NA
## 1346 NA NA NA NA NA
## 1347 NA NA NA NA NA
## 1348 NA NA NA NA NA
## 1349 NA NA NA NA NA
## 1350 NA NA NA NA NA
## 1351 NA NA NA NA NA
## 1352 NA NA NA NA NA
## 1353 NA NA NA NA NA
## 1354 NA NA NA NA NA
## 1355 NA NA NA NA NA
## 1356 NA NA NA NA NA
## 1357 NA NA NA NA NA
## 1358 NA NA NA NA NA
## 1359 NA NA NA NA NA
## 1360 NA NA NA NA NA
## 1361 NA NA NA NA NA
## 1362 NA NA NA NA NA
## 1363 -3.40210617 0.325429853 -4.59457067 -1.09707236 -3.59392611
## 1364 -3.40210617 0.325429853 -4.59457067 -1.09707236 -3.59392611
## 1365 -3.40210617 0.325429853 -4.59457067 -1.09707236 -3.59392611
## 1366 -3.40210617 0.325429853 -4.59457067 -1.09707236 -3.59392611
## 1367 -3.40210617 0.325429853 -4.59457067 -1.09707236 -3.59392611
## 1368 NA NA NA NA NA
## 1369 NA NA NA NA NA
## 1370 NA NA NA NA NA
## 1371 NA NA NA NA NA
## 1372 NA NA NA NA NA
## 1373 NA NA NA NA NA
## 1374 NA NA NA NA NA
## 1375 NA NA NA NA NA
## 1376 NA NA NA NA NA
## 1377 NA NA NA NA NA
## 1378 4.84802729 1.805786663 -0.57950197 -7.05643393 -15.26732096
## 1379 4.84802729 1.805786663 -0.57950197 -7.05643393 -15.26732096
## 1380 4.84802729 1.805786663 -0.57950197 -7.05643393 -15.26732096
## 1381 4.84802729 1.805786663 -0.57950197 -7.05643393 -15.26732096
## 1382 4.84802729 1.805786663 -0.57950197 -7.05643393 -15.26732096
## 1383 NA NA NA NA NA
## 1384 NA NA NA NA NA
## 1385 NA NA NA NA NA
## 1386 NA NA NA NA NA
## 1387 NA NA NA NA NA
## 1388 1.91062913 0.911001059 2.51284564 4.52419073 -8.95921452
## 1389 1.91062913 0.911001059 2.51284564 4.52419073 -8.95921452
## 1390 1.91062913 0.911001059 2.51284564 4.52419073 -8.95921452
## 1391 1.91062913 0.911001059 2.51284564 4.52419073 -8.95921452
## 1392 1.91062913 0.911001059 2.51284564 4.52419073 -8.95921452
## 1393 NA NA NA NA NA
## 1394 NA NA NA NA NA
## 1395 NA NA NA NA NA
## 1396 NA NA NA NA NA
## 1397 NA NA NA NA NA
## 1398 NA NA NA NA NA
## 1399 NA NA NA NA NA
## 1400 NA NA NA NA NA
## 1401 NA NA NA NA NA
## 1402 NA NA NA NA NA
## 1403 NA NA NA NA NA
## 1404 NA NA NA NA NA
## 1405 NA NA NA NA NA
## 1406 NA NA NA NA NA
## 1407 NA NA NA NA NA
## 1408 NA NA NA NA NA
## 1409 NA NA NA NA NA
## 1410 NA NA NA NA NA
## 1411 NA NA NA NA NA
## 1412 NA NA NA NA NA
## 1413 0.16736901 0.941838227 17.89403815 -8.21476120 -4.62597358
## 1414 0.16736901 0.941838227 17.89403815 -8.21476120 -4.62597358
## 1415 0.16736901 0.941838227 17.89403815 -8.21476120 -4.62597358
## 1416 0.16736901 0.941838227 17.89403815 -8.21476120 -4.62597358
## 1417 0.16736901 0.941838227 17.89403815 -8.21476120 -4.62597358
## 1418 0.62703754 -0.823181470 -1.76953117 -4.01489192 -1.43972798
## 1419 0.62703754 -0.823181470 -1.76953117 -4.01489192 -1.43972798
## 1420 0.62703754 -0.823181470 -1.76953117 -4.01489192 -1.43972798
## 1421 0.62703754 -0.823181470 -1.76953117 -4.01489192 -1.43972798
## 1422 0.62703754 -0.823181470 -1.76953117 -4.01489192 -1.43972798
## 1423 NA NA NA NA NA
## 1424 NA NA NA NA NA
## 1425 NA NA NA NA NA
## 1426 NA NA NA NA NA
## 1427 NA NA NA NA NA
## 1428 -15.13955337 -2.257318832 9.85574459 -3.23770876 7.09436016
## 1429 -15.13955337 -2.257318832 9.85574459 -3.23770876 7.09436016
## 1430 -15.13955337 -2.257318832 9.85574459 -3.23770876 7.09436016
## 1431 -15.13955337 -2.257318832 9.85574459 -3.23770876 7.09436016
## 1432 -15.13955337 -2.257318832 9.85574459 -3.23770876 7.09436016
## 1433 22.36335570 -8.867235786 -29.72805263 -7.80517895 2.39342758
## 1434 22.36335570 -8.867235786 -29.72805263 -7.80517895 2.39342758
## 1435 22.36335570 -8.867235786 -29.72805263 -7.80517895 2.39342758
## 1436 22.36335570 -8.867235786 -29.72805263 -7.80517895 2.39342758
## 1437 22.36335570 -8.867235786 -29.72805263 -7.80517895 2.39342758
## 1438 NA NA NA NA NA
## 1439 NA NA NA NA NA
## 1440 NA NA NA NA NA
## 1441 NA NA NA NA NA
## 1442 NA NA NA NA NA
## 1443 2.40378363 -29.073451637 -39.12204731 -0.38748576 2.45780786
## 1444 2.40378363 -29.073451637 -39.12204731 -0.38748576 2.45780786
## 1445 2.40378363 -29.073451637 -39.12204731 -0.38748576 2.45780786
## 1446 2.40378363 -29.073451637 -39.12204731 -0.38748576 2.45780786
## 1447 2.40378363 -29.073451637 -39.12204731 -0.38748576 2.45780786
## 1448 NA NA NA NA NA
## 1449 NA NA NA NA NA
## 1450 NA NA NA NA NA
## 1451 NA NA NA NA NA
## 1452 NA NA NA NA NA
## 1453 NA NA NA NA NA
## 1454 NA NA NA NA NA
## 1455 NA NA NA NA NA
## 1456 NA NA NA NA NA
## 1457 NA NA NA NA NA
## 1458 NA NA NA NA NA
## 1459 NA NA NA NA NA
## 1460 NA NA NA NA NA
## 1461 NA NA NA NA NA
## 1462 NA NA NA NA NA
## 1463 6.45105918 -6.320343508 2.90030103 -6.70202030 0.58978621
## 1464 6.45105918 -6.320343508 2.90030103 -6.70202030 0.58978621
## 1465 6.45105918 -6.320343508 2.90030103 -6.70202030 0.58978621
## 1466 6.45105918 -6.320343508 2.90030103 -6.70202030 0.58978621
## 1467 6.45105918 -6.320343508 2.90030103 -6.70202030 0.58978621
## 1468 NA NA NA NA NA
## 1469 NA NA NA NA NA
## 1470 NA NA NA NA NA
## 1471 NA NA NA NA NA
## 1472 NA NA NA NA NA
## 1473 NA NA NA NA NA
## 1474 NA NA NA NA NA
## 1475 NA NA NA NA NA
## 1476 NA NA NA NA NA
## 1477 NA NA NA NA NA
## 1478 NA NA NA NA NA
## 1479 NA NA NA NA NA
## 1480 NA NA NA NA NA
## 1481 NA NA NA NA NA
## 1482 NA NA NA NA NA
## 1483 NA NA NA NA NA
## 1484 NA NA NA NA NA
## 1485 NA NA NA NA NA
## 1486 NA NA NA NA NA
## 1487 NA NA NA NA NA
## 1488 -4.01595771 -3.192631652 5.62348967 -5.73680772 20.19011516
## 1489 -4.01595771 -3.192631652 5.62348967 -5.73680772 20.19011516
## 1490 -4.01595771 -3.192631652 5.62348967 -5.73680772 20.19011516
## 1491 -4.01595771 -3.192631652 5.62348967 -5.73680772 20.19011516
## 1492 -4.01595771 -3.192631652 5.62348967 -5.73680772 20.19011516
## 1493 -13.02109674 0.683984759 17.31070400 1.62403908 -1.75070228
## 1494 -13.02109674 0.683984759 17.31070400 1.62403908 -1.75070228
## 1495 -13.02109674 0.683984759 17.31070400 1.62403908 -1.75070228
## 1496 -13.02109674 0.683984759 17.31070400 1.62403908 -1.75070228
## 1497 -13.02109674 0.683984759 17.31070400 1.62403908 -1.75070228
## 1498 13.25589236 -1.273230163 2.51766236 1.40114680 3.53431728
## 1499 13.25589236 -1.273230163 2.51766236 1.40114680 3.53431728
## 1500 13.25589236 -1.273230163 2.51766236 1.40114680 3.53431728
## 1501 13.25589236 -1.273230163 2.51766236 1.40114680 3.53431728
## 1502 13.25589236 -1.273230163 2.51766236 1.40114680 3.53431728
## 1503 -1.36958660 2.188944897 -3.88803702 2.52537655 -4.94312767
## 1504 -1.36958660 2.188944897 -3.88803702 2.52537655 -4.94312767
## 1505 -1.36958660 2.188944897 -3.88803702 2.52537655 -4.94312767
## 1506 -1.36958660 2.188944897 -3.88803702 2.52537655 -4.94312767
## 1507 -1.36958660 2.188944897 -3.88803702 2.52537655 -4.94312767
## 1508 NA NA NA NA NA
## 1509 NA NA NA NA NA
## 1510 NA NA NA NA NA
## 1511 NA NA NA NA NA
## 1512 NA NA NA NA NA
## 1513 NA NA NA NA NA
## 1514 NA NA NA NA NA
## 1515 NA NA NA NA NA
## 1516 NA NA NA NA NA
## 1517 NA NA NA NA NA
## 1518 NA NA NA NA NA
## 1519 NA NA NA NA NA
## 1520 NA NA NA NA NA
## 1521 NA NA NA NA NA
## 1522 NA NA NA NA NA
## 1523 NA NA NA NA NA
## 1524 NA NA NA NA NA
## 1525 NA NA NA NA NA
## 1526 NA NA NA NA NA
## 1527 NA NA NA NA NA
## 1528 0.40661890 -2.621215059 -3.95546074 -7.57610756 -16.38454959
## 1529 0.40661890 -2.621215059 -3.95546074 -7.57610756 -16.38454959
## 1530 0.40661890 -2.621215059 -3.95546074 -7.57610756 -16.38454959
## 1531 0.40661890 -2.621215059 -3.95546074 -7.57610756 -16.38454959
## 1532 0.40661890 -2.621215059 -3.95546074 -7.57610756 -16.38454959
## 1533 NA NA NA NA NA
## 1534 NA NA NA NA NA
## 1535 NA NA NA NA NA
## 1536 NA NA NA NA NA
## 1537 NA NA NA NA NA
## 1538 NA NA NA NA NA
## PC113_score
## 1 1.49412280
## 2 1.49412280
## 3 1.49412280
## 4 1.49412280
## 5 1.49412280
## 6 1.49412280
## 7 1.49412280
## 8 1.49412280
## 9 18.21880120
## 10 18.21880120
## 11 18.21880120
## 12 18.21880120
## 13 18.21880120
## 14 18.21880120
## 15 18.21880120
## 16 18.21880120
## 17 2.48262768
## 18 2.48262768
## 19 2.48262768
## 20 2.48262768
## 21 2.48262768
## 22 2.48262768
## 23 2.48262768
## 24 2.48262768
## 25 0.90915606
## 26 0.90915606
## 27 0.90915606
## 28 0.90915606
## 29 0.90915606
## 30 0.90915606
## 31 0.90915606
## 32 0.90915606
## 33 -2.62457265
## 34 -2.62457265
## 35 -2.62457265
## 36 -2.62457265
## 37 -2.62457265
## 38 -2.62457265
## 39 -2.62457265
## 40 -2.62457265
## 41 1.10521477
## 42 1.10521477
## 43 1.10521477
## 44 1.10521477
## 45 1.10521477
## 46 1.10521477
## 47 1.10521477
## 48 1.10521477
## 49 -1.39155202
## 50 -1.39155202
## 51 -1.39155202
## 52 -1.39155202
## 53 -1.39155202
## 54 -1.39155202
## 55 -1.39155202
## 56 -1.39155202
## 57 0.31305484
## 58 0.31305484
## 59 0.31305484
## 60 0.31305484
## 61 0.31305484
## 62 0.31305484
## 63 0.31305484
## 64 0.31305484
## 65 -0.92861228
## 66 -0.92861228
## 67 -0.92861228
## 68 -0.92861228
## 69 -0.92861228
## 70 -0.92861228
## 71 -0.92861228
## 72 -0.92861228
## 73 -0.47213268
## 74 -0.47213268
## 75 -0.47213268
## 76 -0.47213268
## 77 -0.47213268
## 78 -0.47213268
## 79 -0.47213268
## 80 -0.47213268
## 81 -6.02302791
## 82 -6.02302791
## 83 -6.02302791
## 84 -6.02302791
## 85 -6.02302791
## 86 -6.02302791
## 87 -6.02302791
## 88 -6.02302791
## 89 0.27229721
## 90 0.27229721
## 91 0.27229721
## 92 0.27229721
## 93 0.27229721
## 94 0.27229721
## 95 0.27229721
## 96 0.27229721
## 97 -2.37917159
## 98 -2.37917159
## 99 -2.37917159
## 100 -2.37917159
## 101 -2.37917159
## 102 -2.37917159
## 103 -2.37917159
## 104 -2.37917159
## 105 -2.99359955
## 106 -2.99359955
## 107 -2.99359955
## 108 -2.99359955
## 109 -2.99359955
## 110 -2.99359955
## 111 -2.99359955
## 112 -2.99359955
## 113 -1.97831718
## 114 -1.97831718
## 115 -1.97831718
## 116 -1.97831718
## 117 -1.97831718
## 118 -1.97831718
## 119 -1.97831718
## 120 -1.97831718
## 121 0.24733991
## 122 0.24733991
## 123 0.24733991
## 124 0.24733991
## 125 0.24733991
## 126 0.24733991
## 127 0.24733991
## 128 0.24733991
## 129 3.79054386
## 130 3.79054386
## 131 3.79054386
## 132 3.79054386
## 133 3.79054386
## 134 3.79054386
## 135 3.79054386
## 136 3.79054386
## 137 0.34505860
## 138 0.34505860
## 139 0.34505860
## 140 0.34505860
## 141 0.34505860
## 142 0.34505860
## 143 0.34505860
## 144 0.34505860
## 145 -2.82759740
## 146 -2.82759740
## 147 -2.82759740
## 148 -2.82759740
## 149 -2.82759740
## 150 -2.82759740
## 151 -2.82759740
## 152 -2.82759740
## 153 1.13115418
## 154 1.13115418
## 155 1.13115418
## 156 1.13115418
## 157 1.13115418
## 158 1.13115418
## 159 1.13115418
## 160 1.13115418
## 161 1.87527546
## 162 1.87527546
## 163 1.87527546
## 164 1.87527546
## 165 1.87527546
## 166 1.87527546
## 167 1.87527546
## 168 1.87527546
## 169 -47.57635473
## 170 -47.57635473
## 171 -47.57635473
## 172 -47.57635473
## 173 -47.57635473
## 174 -47.57635473
## 175 -47.57635473
## 176 -47.57635473
## 177 -2.23571672
## 178 -2.23571672
## 179 -2.23571672
## 180 -2.23571672
## 181 -2.23571672
## 182 -2.23571672
## 183 -2.23571672
## 184 -2.23571672
## 185 0.22280161
## 186 0.22280161
## 187 0.22280161
## 188 0.22280161
## 189 0.22280161
## 190 0.22280161
## 191 0.22280161
## 192 0.22280161
## 193 -1.36487440
## 194 -1.36487440
## 195 -1.36487440
## 196 -1.36487440
## 197 -1.36487440
## 198 -1.36487440
## 199 -1.36487440
## 200 -1.36487440
## 201 1.32327749
## 202 1.32327749
## 203 1.32327749
## 204 1.32327749
## 205 1.32327749
## 206 1.32327749
## 207 1.32327749
## 208 1.32327749
## 209 -0.47038861
## 210 -0.47038861
## 211 -0.47038861
## 212 -0.47038861
## 213 -0.47038861
## 214 -0.47038861
## 215 -0.47038861
## 216 -0.47038861
## 217 0.80301782
## 218 0.80301782
## 219 0.80301782
## 220 0.80301782
## 221 0.80301782
## 222 0.80301782
## 223 0.80301782
## 224 0.80301782
## 225 -15.58397841
## 226 -15.58397841
## 227 -15.58397841
## 228 -15.58397841
## 229 -15.58397841
## 230 -15.58397841
## 231 -15.58397841
## 232 -15.58397841
## 233 -0.56805128
## 234 -0.56805128
## 235 -0.56805128
## 236 -0.56805128
## 237 -0.56805128
## 238 -0.56805128
## 239 -0.56805128
## 240 -0.56805128
## 241 -3.77406576
## 242 -3.77406576
## 243 -3.77406576
## 244 -3.77406576
## 245 -3.77406576
## 246 -3.77406576
## 247 -3.77406576
## 248 -3.77406576
## 249 0.71040983
## 250 0.71040983
## 251 0.71040983
## 252 0.71040983
## 253 0.71040983
## 254 0.71040983
## 255 0.71040983
## 256 0.71040983
## 257 5.24067301
## 258 5.24067301
## 259 5.24067301
## 260 5.24067301
## 261 5.24067301
## 262 5.24067301
## 263 5.24067301
## 264 5.24067301
## 265 -2.33147488
## 266 -2.33147488
## 267 -2.33147488
## 268 -2.33147488
## 269 -2.33147488
## 270 -2.33147488
## 271 -2.33147488
## 272 -2.33147488
## 273 4.04805589
## 274 4.04805589
## 275 4.04805589
## 276 4.04805589
## 277 4.04805589
## 278 4.04805589
## 279 4.04805589
## 280 4.04805589
## 281 2.28808662
## 282 2.28808662
## 283 2.28808662
## 284 2.28808662
## 285 2.28808662
## 286 2.28808662
## 287 2.28808662
## 288 2.28808662
## 289 3.26314916
## 290 3.26314916
## 291 3.26314916
## 292 3.26314916
## 293 3.26314916
## 294 3.26314916
## 295 3.26314916
## 296 3.26314916
## 297 1.94492601
## 298 1.94492601
## 299 1.94492601
## 300 1.94492601
## 301 1.94492601
## 302 1.94492601
## 303 1.94492601
## 304 1.94492601
## 305 4.41319115
## 306 4.41319115
## 307 4.41319115
## 308 4.41319115
## 309 4.41319115
## 310 4.41319115
## 311 4.41319115
## 312 4.41319115
## 313 3.00915819
## 314 3.00915819
## 315 3.00915819
## 316 3.00915819
## 317 3.00915819
## 318 3.00915819
## 319 3.00915819
## 320 3.00915819
## 321 0.23704927
## 322 0.23704927
## 323 0.23704927
## 324 0.23704927
## 325 0.23704927
## 326 0.23704927
## 327 0.23704927
## 328 0.23704927
## 329 -1.14103499
## 330 -1.14103499
## 331 -1.14103499
## 332 -1.14103499
## 333 -1.14103499
## 334 -1.14103499
## 335 -1.14103499
## 336 -1.14103499
## 337 -1.50455696
## 338 -1.50455696
## 339 -1.50455696
## 340 -1.50455696
## 341 -1.50455696
## 342 -1.50455696
## 343 -1.50455696
## 344 -1.50455696
## 345 0.21734248
## 346 0.21734248
## 347 0.21734248
## 348 0.21734248
## 349 0.21734248
## 350 0.21734248
## 351 0.21734248
## 352 0.21734248
## 353 -5.58315145
## 354 -5.58315145
## 355 -5.58315145
## 356 -5.58315145
## 357 -5.58315145
## 358 -5.58315145
## 359 -5.58315145
## 360 -5.58315145
## 361 -0.02114709
## 362 -0.02114709
## 363 -0.02114709
## 364 -0.02114709
## 365 -0.02114709
## 366 -0.02114709
## 367 -0.02114709
## 368 -0.02114709
## 369 5.79066222
## 370 5.79066222
## 371 5.79066222
## 372 5.79066222
## 373 5.79066222
## 374 5.79066222
## 375 5.79066222
## 376 5.79066222
## 377 -2.27070480
## 378 -2.27070480
## 379 -2.27070480
## 380 -2.27070480
## 381 -2.27070480
## 382 -2.27070480
## 383 -2.27070480
## 384 -2.27070480
## 385 -9.03093116
## 386 -9.03093116
## 387 -9.03093116
## 388 -9.03093116
## 389 -9.03093116
## 390 -9.03093116
## 391 -9.03093116
## 392 -9.03093116
## 393 41.65373677
## 394 41.65373677
## 395 41.65373677
## 396 41.65373677
## 397 41.65373677
## 398 41.65373677
## 399 41.65373677
## 400 41.65373677
## 401 -0.89887474
## 402 -0.89887474
## 403 -0.89887474
## 404 -0.89887474
## 405 -0.89887474
## 406 -0.89887474
## 407 -0.89887474
## 408 -0.89887474
## 409 2.70659258
## 410 2.70659258
## 411 2.70659258
## 412 2.70659258
## 413 2.70659258
## 414 2.70659258
## 415 2.70659258
## 416 2.70659258
## 417 3.25156548
## 418 3.25156548
## 419 3.25156548
## 420 3.25156548
## 421 3.25156548
## 422 3.25156548
## 423 3.25156548
## 424 3.25156548
## 425 -1.24551530
## 426 -1.24551530
## 427 -1.24551530
## 428 -1.24551530
## 429 -1.24551530
## 430 -1.24551530
## 431 -1.24551530
## 432 -1.24551530
## 433 -3.19503002
## 434 -3.19503002
## 435 -3.19503002
## 436 -3.19503002
## 437 -3.19503002
## 438 -3.19503002
## 439 -3.19503002
## 440 -3.19503002
## 441 0.13882185
## 442 0.13882185
## 443 0.13882185
## 444 0.13882185
## 445 0.13882185
## 446 0.13882185
## 447 0.13882185
## 448 0.13882185
## 449 1.21284400
## 450 1.21284400
## 451 1.21284400
## 452 1.21284400
## 453 1.21284400
## 454 1.21284400
## 455 1.21284400
## 456 1.21284400
## 457 2.38554150
## 458 2.38554150
## 459 2.38554150
## 460 2.38554150
## 461 2.38554150
## 462 2.38554150
## 463 2.38554150
## 464 2.38554150
## 465 -1.83993387
## 466 -1.83993387
## 467 -1.83993387
## 468 -1.83993387
## 469 -1.83993387
## 470 -1.83993387
## 471 -1.83993387
## 472 -1.83993387
## 473 -3.12905867
## 474 -3.12905867
## 475 -3.12905867
## 476 -3.12905867
## 477 -3.12905867
## 478 -3.12905867
## 479 -3.12905867
## 480 -3.12905867
## 481 -1.21136103
## 482 -1.21136103
## 483 -1.21136103
## 484 -1.21136103
## 485 -1.21136103
## 486 -1.21136103
## 487 -1.21136103
## 488 -1.21136103
## 489 -2.07746342
## 490 -2.07746342
## 491 -2.07746342
## 492 -2.07746342
## 493 -2.07746342
## 494 -2.07746342
## 495 -2.07746342
## 496 -2.07746342
## 497 2.90600563
## 498 2.90600563
## 499 2.90600563
## 500 2.90600563
## 501 2.90600563
## 502 2.90600563
## 503 2.90600563
## 504 2.90600563
## 505 0.60791226
## 506 0.60791226
## 507 0.60791226
## 508 0.60791226
## 509 0.60791226
## 510 0.60791226
## 511 0.60791226
## 512 0.60791226
## 513 -1.68887151
## 514 -1.68887151
## 515 -1.68887151
## 516 -1.68887151
## 517 -1.68887151
## 518 -1.68887151
## 519 -1.68887151
## 520 -1.68887151
## 521 1.39935220
## 522 1.39935220
## 523 1.39935220
## 524 1.39935220
## 525 1.39935220
## 526 1.39935220
## 527 1.39935220
## 528 1.39935220
## 529 3.04746494
## 530 3.04746494
## 531 3.04746494
## 532 3.04746494
## 533 3.04746494
## 534 3.04746494
## 535 3.04746494
## 536 3.04746494
## 537 -0.19005535
## 538 -0.19005535
## 539 -0.19005535
## 540 -0.19005535
## 541 -0.19005535
## 542 -0.19005535
## 543 -0.19005535
## 544 -0.19005535
## 545 -3.02691926
## 546 -3.02691926
## 547 -3.02691926
## 548 -3.02691926
## 549 -3.02691926
## 550 -3.02691926
## 551 -3.02691926
## 552 -3.02691926
## 553 -0.59502197
## 554 -0.59502197
## 555 -0.59502197
## 556 -0.59502197
## 557 -0.59502197
## 558 -0.59502197
## 559 -0.59502197
## 560 -0.59502197
## 561 -0.44023770
## 562 -0.44023770
## 563 -0.44023770
## 564 -0.44023770
## 565 -0.44023770
## 566 -0.44023770
## 567 -0.44023770
## 568 -0.44023770
## 569 8.25067381
## 570 8.25067381
## 571 8.25067381
## 572 8.25067381
## 573 8.25067381
## 574 8.25067381
## 575 8.25067381
## 576 8.25067381
## 577 -2.71331242
## 578 -2.71331242
## 579 -2.71331242
## 580 -2.71331242
## 581 -2.71331242
## 582 -2.71331242
## 583 -2.71331242
## 584 -2.71331242
## 585 0.75962222
## 586 0.75962222
## 587 0.75962222
## 588 0.75962222
## 589 0.75962222
## 590 0.75962222
## 591 0.75962222
## 592 0.75962222
## 593 0.06626508
## 594 0.06626508
## 595 0.06626508
## 596 0.06626508
## 597 0.06626508
## 598 0.06626508
## 599 0.06626508
## 600 0.06626508
## 601 0.57948295
## 602 0.57948295
## 603 0.57948295
## 604 0.57948295
## 605 0.57948295
## 606 0.57948295
## 607 0.57948295
## 608 0.57948295
## 609 -3.53513384
## 610 -3.53513384
## 611 -3.53513384
## 612 -3.53513384
## 613 -3.53513384
## 614 -3.53513384
## 615 -3.53513384
## 616 -3.53513384
## 617 -0.28299838
## 618 -0.28299838
## 619 -0.28299838
## 620 -0.28299838
## 621 -0.28299838
## 622 -0.28299838
## 623 -0.28299838
## 624 -0.28299838
## 625 -1.39216525
## 626 -1.39216525
## 627 -1.39216525
## 628 -1.39216525
## 629 -1.39216525
## 630 -1.39216525
## 631 -1.39216525
## 632 -1.39216525
## 633 -1.73631160
## 634 -1.73631160
## 635 -1.73631160
## 636 -1.73631160
## 637 -1.73631160
## 638 -1.73631160
## 639 -1.73631160
## 640 -1.73631160
## 641 0.97241980
## 642 0.97241980
## 643 0.97241980
## 644 0.97241980
## 645 0.97241980
## 646 0.97241980
## 647 0.97241980
## 648 0.97241980
## 649 2.13901658
## 650 2.13901658
## 651 2.13901658
## 652 2.13901658
## 653 2.13901658
## 654 2.13901658
## 655 2.13901658
## 656 2.13901658
## 657 -1.20752602
## 658 -1.20752602
## 659 -1.20752602
## 660 -1.20752602
## 661 -1.20752602
## 662 -1.20752602
## 663 -1.20752602
## 664 -1.20752602
## 665 -0.05899034
## 666 -0.05899034
## 667 -0.05899034
## 668 -0.05899034
## 669 -0.05899034
## 670 -0.05899034
## 671 -0.05899034
## 672 -0.05899034
## 673 3.12481451
## 674 3.12481451
## 675 3.12481451
## 676 3.12481451
## 677 3.12481451
## 678 3.12481451
## 679 3.12481451
## 680 3.12481451
## 681 0.44380739
## 682 0.44380739
## 683 0.44380739
## 684 0.44380739
## 685 0.44380739
## 686 0.44380739
## 687 0.44380739
## 688 0.44380739
## 689 6.16449885
## 690 6.16449885
## 691 6.16449885
## 692 6.16449885
## 693 6.16449885
## 694 6.16449885
## 695 6.16449885
## 696 6.16449885
## 697 -2.77068356
## 698 -2.77068356
## 699 -2.77068356
## 700 -2.77068356
## 701 -2.77068356
## 702 -2.77068356
## 703 -2.77068356
## 704 -2.77068356
## 705 -26.88058048
## 706 -26.88058048
## 707 -26.88058048
## 708 -26.88058048
## 709 -26.88058048
## 710 -26.88058048
## 711 -26.88058048
## 712 -26.88058048
## 713 1.58322685
## 714 1.58322685
## 715 1.58322685
## 716 1.58322685
## 717 1.58322685
## 718 1.58322685
## 719 1.58322685
## 720 1.58322685
## 721 -7.96908680
## 722 -7.96908680
## 723 -7.96908680
## 724 -7.96908680
## 725 -7.96908680
## 726 -7.96908680
## 727 -7.96908680
## 728 -7.96908680
## 729 0.77149905
## 730 0.77149905
## 731 0.77149905
## 732 0.77149905
## 733 0.77149905
## 734 0.77149905
## 735 0.77149905
## 736 0.77149905
## 737 -0.48599595
## 738 -0.48599595
## 739 -0.48599595
## 740 -0.48599595
## 741 -0.48599595
## 742 -0.48599595
## 743 -0.48599595
## 744 -0.48599595
## 745 -1.22572189
## 746 -1.22572189
## 747 -1.22572189
## 748 -1.22572189
## 749 -1.22572189
## 750 -1.22572189
## 751 -1.22572189
## 752 -1.22572189
## 753 -2.66446819
## 754 -2.66446819
## 755 -2.66446819
## 756 -2.66446819
## 757 -2.66446819
## 758 -2.66446819
## 759 -2.66446819
## 760 -2.66446819
## 761 -1.61446672
## 762 -1.61446672
## 763 -1.61446672
## 764 -1.61446672
## 765 -1.61446672
## 766 -1.61446672
## 767 -1.61446672
## 768 -1.61446672
## 769 -3.05817824
## 770 -3.05817824
## 771 -3.05817824
## 772 -3.05817824
## 773 -3.05817824
## 774 -3.05817824
## 775 -3.05817824
## 776 -3.05817824
## 777 1.06189815
## 778 1.06189815
## 779 1.06189815
## 780 1.06189815
## 781 1.06189815
## 782 1.06189815
## 783 1.06189815
## 784 1.06189815
## 785 -0.49374838
## 786 -0.49374838
## 787 -0.49374838
## 788 -0.49374838
## 789 -0.49374838
## 790 -0.49374838
## 791 -0.49374838
## 792 -0.49374838
## 793 -1.18302194
## 794 -1.18302194
## 795 -1.18302194
## 796 -1.18302194
## 797 -1.18302194
## 798 -1.18302194
## 799 -1.18302194
## 800 -1.18302194
## 801 -4.08164619
## 802 -4.08164619
## 803 -4.08164619
## 804 -4.08164619
## 805 -4.08164619
## 806 -4.08164619
## 807 -4.08164619
## 808 -4.08164619
## 809 -1.74670094
## 810 -1.74670094
## 811 -1.74670094
## 812 -1.74670094
## 813 -1.74670094
## 814 -1.74670094
## 815 -1.74670094
## 816 -1.74670094
## 817 84.09002140
## 818 84.09002140
## 819 84.09002140
## 820 84.09002140
## 821 84.09002140
## 822 84.09002140
## 823 84.09002140
## 824 84.09002140
## 825 2.33543739
## 826 2.33543739
## 827 2.33543739
## 828 2.33543739
## 829 2.33543739
## 830 2.33543739
## 831 2.33543739
## 832 2.33543739
## 833 -3.93347454
## 834 -3.93347454
## 835 -3.93347454
## 836 -3.93347454
## 837 -3.93347454
## 838 -3.93347454
## 839 -3.93347454
## 840 -3.93347454
## 841 -3.02743417
## 842 -3.02743417
## 843 -3.02743417
## 844 -3.02743417
## 845 -3.02743417
## 846 -3.02743417
## 847 -3.02743417
## 848 -3.02743417
## 849 -2.81878127
## 850 -2.81878127
## 851 -2.81878127
## 852 -2.81878127
## 853 -2.81878127
## 854 -2.81878127
## 855 -2.81878127
## 856 -2.81878127
## 857 0.44827663
## 858 0.44827663
## 859 0.44827663
## 860 0.44827663
## 861 0.44827663
## 862 0.44827663
## 863 0.44827663
## 864 0.44827663
## 865 -0.64214122
## 866 -0.64214122
## 867 -0.64214122
## 868 -0.64214122
## 869 -0.64214122
## 870 -0.64214122
## 871 -0.64214122
## 872 -0.64214122
## 873 -0.31895132
## 874 -0.31895132
## 875 -0.31895132
## 876 -0.31895132
## 877 -0.31895132
## 878 -0.31895132
## 879 -0.31895132
## 880 -0.31895132
## 881 -19.40206932
## 882 -19.40206932
## 883 -19.40206932
## 884 -19.40206932
## 885 -19.40206932
## 886 -19.40206932
## 887 -19.40206932
## 888 -19.40206932
## 889 -4.48729136
## 890 -4.48729136
## 891 -4.48729136
## 892 -4.48729136
## 893 -4.48729136
## 894 -4.48729136
## 895 -4.48729136
## 896 -4.48729136
## 897 -0.82789674
## 898 -0.82789674
## 899 -0.82789674
## 900 -0.82789674
## 901 -0.82789674
## 902 -0.82789674
## 903 -0.82789674
## 904 -0.82789674
## 905 -2.62511079
## 906 -2.62511079
## 907 -2.62511079
## 908 -2.62511079
## 909 -2.62511079
## 910 -2.62511079
## 911 -2.62511079
## 912 -2.62511079
## 913 0.00839153
## 914 0.00839153
## 915 0.00839153
## 916 0.00839153
## 917 0.00839153
## 918 -0.33605951
## 919 -0.33605951
## 920 -0.33605951
## 921 -0.33605951
## 922 -0.33605951
## 923 NA
## 924 NA
## 925 NA
## 926 NA
## 927 NA
## 928 NA
## 929 NA
## 930 NA
## 931 NA
## 932 NA
## 933 NA
## 934 NA
## 935 NA
## 936 NA
## 937 NA
## 938 -0.50494705
## 939 -0.50494705
## 940 -0.50494705
## 941 -0.50494705
## 942 -0.50494705
## 943 NA
## 944 NA
## 945 NA
## 946 NA
## 947 NA
## 948 NA
## 949 NA
## 950 NA
## 951 NA
## 952 NA
## 953 -2.04969286
## 954 -2.04969286
## 955 -2.04969286
## 956 -2.04969286
## 957 -2.04969286
## 958 0.94526950
## 959 0.94526950
## 960 0.94526950
## 961 0.94526950
## 962 0.94526950
## 963 NA
## 964 NA
## 965 NA
## 966 NA
## 967 NA
## 968 NA
## 969 NA
## 970 NA
## 971 NA
## 972 NA
## 973 -0.20669329
## 974 -0.20669329
## 975 -0.20669329
## 976 -0.20669329
## 977 -0.20669329
## 978 2.19968254
## 979 2.19968254
## 980 2.19968254
## 981 2.19968254
## 982 2.19968254
## 983 NA
## 984 NA
## 985 NA
## 986 NA
## 987 NA
## 988 NA
## 989 NA
## 990 NA
## 991 NA
## 992 NA
## 993 1.43926640
## 994 1.43926640
## 995 1.43926640
## 996 1.43926640
## 997 1.43926640
## 998 NA
## 999 NA
## 1000 NA
## 1001 NA
## 1002 NA
## 1003 NA
## 1004 NA
## 1005 NA
## 1006 NA
## 1007 NA
## 1008 -0.23026621
## 1009 -0.23026621
## 1010 -0.23026621
## 1011 -0.23026621
## 1012 -0.23026621
## 1013 0.10898226
## 1014 0.10898226
## 1015 0.10898226
## 1016 0.10898226
## 1017 0.10898226
## 1018 -0.51247300
## 1019 -0.51247300
## 1020 -0.51247300
## 1021 -0.51247300
## 1022 -0.51247300
## 1023 NA
## 1024 NA
## 1025 NA
## 1026 NA
## 1027 NA
## 1028 NA
## 1029 NA
## 1030 NA
## 1031 NA
## 1032 NA
## 1033 0.15955991
## 1034 0.15955991
## 1035 0.15955991
## 1036 0.15955991
## 1037 0.15955991
## 1038 NA
## 1039 NA
## 1040 NA
## 1041 NA
## 1042 NA
## 1043 NA
## 1044 NA
## 1045 NA
## 1046 NA
## 1047 NA
## 1048 NA
## 1049 NA
## 1050 NA
## 1051 NA
## 1052 NA
## 1053 NA
## 1054 NA
## 1055 NA
## 1056 NA
## 1057 NA
## 1058 NA
## 1059 NA
## 1060 NA
## 1061 NA
## 1062 NA
## 1063 NA
## 1064 NA
## 1065 NA
## 1066 NA
## 1067 NA
## 1068 0.11541298
## 1069 0.11541298
## 1070 0.11541298
## 1071 0.11541298
## 1072 0.11541298
## 1073 0.35976506
## 1074 0.35976506
## 1075 0.35976506
## 1076 0.35976506
## 1077 0.35976506
## 1078 NA
## 1079 NA
## 1080 NA
## 1081 NA
## 1082 NA
## 1083 0.22861230
## 1084 0.22861230
## 1085 0.22861230
## 1086 0.22861230
## 1087 0.22861230
## 1088 NA
## 1089 NA
## 1090 NA
## 1091 NA
## 1092 NA
## 1093 -2.31667717
## 1094 -2.31667717
## 1095 -2.31667717
## 1096 -2.31667717
## 1097 -2.31667717
## 1098 NA
## 1099 NA
## 1100 NA
## 1101 NA
## 1102 NA
## 1103 0.64436734
## 1104 0.64436734
## 1105 0.64436734
## 1106 0.64436734
## 1107 0.64436734
## 1108 NA
## 1109 NA
## 1110 NA
## 1111 NA
## 1112 NA
## 1113 0.82525196
## 1114 0.82525196
## 1115 0.82525196
## 1116 0.82525196
## 1117 0.82525196
## 1118 -2.43301002
## 1119 -2.43301002
## 1120 -2.43301002
## 1121 -2.43301002
## 1122 -2.43301002
## 1123 3.09047480
## 1124 3.09047480
## 1125 3.09047480
## 1126 3.09047480
## 1127 3.09047480
## 1128 NA
## 1129 NA
## 1130 NA
## 1131 NA
## 1132 NA
## 1133 2.26611426
## 1134 2.26611426
## 1135 2.26611426
## 1136 2.26611426
## 1137 2.26611426
## 1138 NA
## 1139 NA
## 1140 NA
## 1141 NA
## 1142 NA
## 1143 -1.36348030
## 1144 -1.36348030
## 1145 -1.36348030
## 1146 -1.36348030
## 1147 -1.36348030
## 1148 NA
## 1149 NA
## 1150 NA
## 1151 NA
## 1152 NA
## 1153 2.05510714
## 1154 2.05510714
## 1155 2.05510714
## 1156 2.05510714
## 1157 2.05510714
## 1158 1.89671527
## 1159 1.89671527
## 1160 1.89671527
## 1161 1.89671527
## 1162 1.89671527
## 1163 NA
## 1164 NA
## 1165 NA
## 1166 NA
## 1167 NA
## 1168 NA
## 1169 NA
## 1170 NA
## 1171 NA
## 1172 NA
## 1173 NA
## 1174 NA
## 1175 NA
## 1176 NA
## 1177 NA
## 1178 NA
## 1179 NA
## 1180 NA
## 1181 NA
## 1182 NA
## 1183 NA
## 1184 NA
## 1185 NA
## 1186 NA
## 1187 NA
## 1188 -2.14957078
## 1189 -2.14957078
## 1190 -2.14957078
## 1191 -2.14957078
## 1192 -2.14957078
## 1193 0.42015486
## 1194 0.42015486
## 1195 0.42015486
## 1196 0.42015486
## 1197 0.42015486
## 1198 1.07139004
## 1199 1.07139004
## 1200 1.07139004
## 1201 1.07139004
## 1202 1.07139004
## 1203 0.17605448
## 1204 0.17605448
## 1205 0.17605448
## 1206 0.17605448
## 1207 0.17605448
## 1208 NA
## 1209 NA
## 1210 NA
## 1211 NA
## 1212 NA
## 1213 -1.46344829
## 1214 -1.46344829
## 1215 -1.46344829
## 1216 -1.46344829
## 1217 -1.46344829
## 1218 -0.09860140
## 1219 -0.09860140
## 1220 -0.09860140
## 1221 -0.09860140
## 1222 -0.09860140
## 1223 NA
## 1224 NA
## 1225 NA
## 1226 NA
## 1227 NA
## 1228 NA
## 1229 NA
## 1230 NA
## 1231 NA
## 1232 NA
## 1233 NA
## 1234 NA
## 1235 NA
## 1236 NA
## 1237 NA
## 1238 2.20479796
## 1239 2.20479796
## 1240 2.20479796
## 1241 2.20479796
## 1242 2.20479796
## 1243 -1.40143255
## 1244 -1.40143255
## 1245 -1.40143255
## 1246 -1.40143255
## 1247 -1.40143255
## 1248 NA
## 1249 NA
## 1250 NA
## 1251 NA
## 1252 NA
## 1253 NA
## 1254 NA
## 1255 NA
## 1256 NA
## 1257 NA
## 1258 NA
## 1259 NA
## 1260 NA
## 1261 NA
## 1262 NA
## 1263 3.56948540
## 1264 3.56948540
## 1265 3.56948540
## 1266 3.56948540
## 1267 3.56948540
## 1268 4.20336322
## 1269 4.20336322
## 1270 4.20336322
## 1271 4.20336322
## 1272 4.20336322
## 1273 -1.29204943
## 1274 -1.29204943
## 1275 -1.29204943
## 1276 -1.29204943
## 1277 -1.29204943
## 1278 2.86970078
## 1279 2.86970078
## 1280 2.86970078
## 1281 2.86970078
## 1282 2.86970078
## 1283 -0.50913067
## 1284 -0.50913067
## 1285 -0.50913067
## 1286 -0.50913067
## 1287 -0.50913067
## 1288 NA
## 1289 NA
## 1290 NA
## 1291 NA
## 1292 NA
## 1293 NA
## 1294 NA
## 1295 NA
## 1296 NA
## 1297 NA
## 1298 1.14213844
## 1299 1.14213844
## 1300 1.14213844
## 1301 1.14213844
## 1302 1.14213844
## 1303 NA
## 1304 NA
## 1305 NA
## 1306 NA
## 1307 NA
## 1308 NA
## 1309 NA
## 1310 NA
## 1311 NA
## 1312 NA
## 1313 1.05737802
## 1314 1.05737802
## 1315 1.05737802
## 1316 1.05737802
## 1317 1.05737802
## 1318 NA
## 1319 NA
## 1320 NA
## 1321 NA
## 1322 NA
## 1323 NA
## 1324 NA
## 1325 NA
## 1326 NA
## 1327 NA
## 1328 NA
## 1329 NA
## 1330 NA
## 1331 NA
## 1332 NA
## 1333 NA
## 1334 NA
## 1335 NA
## 1336 NA
## 1337 NA
## 1338 NA
## 1339 NA
## 1340 NA
## 1341 NA
## 1342 NA
## 1343 NA
## 1344 NA
## 1345 NA
## 1346 NA
## 1347 NA
## 1348 NA
## 1349 NA
## 1350 NA
## 1351 NA
## 1352 NA
## 1353 NA
## 1354 NA
## 1355 NA
## 1356 NA
## 1357 NA
## 1358 NA
## 1359 NA
## 1360 NA
## 1361 NA
## 1362 NA
## 1363 15.31129216
## 1364 15.31129216
## 1365 15.31129216
## 1366 15.31129216
## 1367 15.31129216
## 1368 NA
## 1369 NA
## 1370 NA
## 1371 NA
## 1372 NA
## 1373 NA
## 1374 NA
## 1375 NA
## 1376 NA
## 1377 NA
## 1378 15.67368824
## 1379 15.67368824
## 1380 15.67368824
## 1381 15.67368824
## 1382 15.67368824
## 1383 NA
## 1384 NA
## 1385 NA
## 1386 NA
## 1387 NA
## 1388 1.83274419
## 1389 1.83274419
## 1390 1.83274419
## 1391 1.83274419
## 1392 1.83274419
## 1393 NA
## 1394 NA
## 1395 NA
## 1396 NA
## 1397 NA
## 1398 NA
## 1399 NA
## 1400 NA
## 1401 NA
## 1402 NA
## 1403 NA
## 1404 NA
## 1405 NA
## 1406 NA
## 1407 NA
## 1408 NA
## 1409 NA
## 1410 NA
## 1411 NA
## 1412 NA
## 1413 2.27247003
## 1414 2.27247003
## 1415 2.27247003
## 1416 2.27247003
## 1417 2.27247003
## 1418 -134.33744016
## 1419 -134.33744016
## 1420 -134.33744016
## 1421 -134.33744016
## 1422 -134.33744016
## 1423 NA
## 1424 NA
## 1425 NA
## 1426 NA
## 1427 NA
## 1428 1.49917333
## 1429 1.49917333
## 1430 1.49917333
## 1431 1.49917333
## 1432 1.49917333
## 1433 -1.88742864
## 1434 -1.88742864
## 1435 -1.88742864
## 1436 -1.88742864
## 1437 -1.88742864
## 1438 NA
## 1439 NA
## 1440 NA
## 1441 NA
## 1442 NA
## 1443 -0.37924131
## 1444 -0.37924131
## 1445 -0.37924131
## 1446 -0.37924131
## 1447 -0.37924131
## 1448 NA
## 1449 NA
## 1450 NA
## 1451 NA
## 1452 NA
## 1453 NA
## 1454 NA
## 1455 NA
## 1456 NA
## 1457 NA
## 1458 NA
## 1459 NA
## 1460 NA
## 1461 NA
## 1462 NA
## 1463 0.35093447
## 1464 0.35093447
## 1465 0.35093447
## 1466 0.35093447
## 1467 0.35093447
## 1468 NA
## 1469 NA
## 1470 NA
## 1471 NA
## 1472 NA
## 1473 NA
## 1474 NA
## 1475 NA
## 1476 NA
## 1477 NA
## 1478 NA
## 1479 NA
## 1480 NA
## 1481 NA
## 1482 NA
## 1483 NA
## 1484 NA
## 1485 NA
## 1486 NA
## 1487 NA
## 1488 6.03160546
## 1489 6.03160546
## 1490 6.03160546
## 1491 6.03160546
## 1492 6.03160546
## 1493 1.33072303
## 1494 1.33072303
## 1495 1.33072303
## 1496 1.33072303
## 1497 1.33072303
## 1498 0.08852543
## 1499 0.08852543
## 1500 0.08852543
## 1501 0.08852543
## 1502 0.08852543
## 1503 6.15638325
## 1504 6.15638325
## 1505 6.15638325
## 1506 6.15638325
## 1507 6.15638325
## 1508 NA
## 1509 NA
## 1510 NA
## 1511 NA
## 1512 NA
## 1513 NA
## 1514 NA
## 1515 NA
## 1516 NA
## 1517 NA
## 1518 NA
## 1519 NA
## 1520 NA
## 1521 NA
## 1522 NA
## 1523 NA
## 1524 NA
## 1525 NA
## 1526 NA
## 1527 NA
## 1528 9.27489760
## 1529 9.27489760
## 1530 9.27489760
## 1531 9.27489760
## 1532 9.27489760
## 1533 NA
## 1534 NA
## 1535 NA
## 1536 NA
## 1537 NA
## 1538 NA
## [ reached 'max' / getOption("max.print") -- omitted 47635 rows ]I also realized that the contrastdiff variable I made did not distinguish between a combination of right contrast = 1 and left contrast = 0.5, versus another trial where right contrast = 0.5 and left contrast = 0. I wanted to make this distinction by using an interaction variable instead. I then conducted a chi-square test to see whether this new interaction variable of right_contrast x left_contrast had a significant correlation with feedback score. The result of the test demonstrated that there is a strong relationship between the interaction term and the feedback score (p value very low), so I will continue to use this interaction term instead of the contrast_diff variable in my prediction model.
# Method 1: Using paste() to create the interaction manually
results_df_allsessions_significant$contrast_interaction <- paste(
results_df_allsessions_significant$leftcontrast,
results_df_allsessions_significant$rightcontrast,
sep = "_"
)
# Method 2: If you want to use the interaction() function with error checking
# First check for NA values
na_count <- sum(is.na(results_df_allsessions_significant$leftcontrast) |
is.na(results_df_allsessions_significant$rightcontrast))
cat("Number of NA values in contrast variables:", na_count, "\n")## Number of NA values in contrast variables: 0# Try a different approach if there are NA values
if (na_count > 0) {
# Handle NA values by creating factors with NA as a level
results_df_allsessions_significant$leftcontrast_factor <- factor(results_df_allsessions_significant$leftcontrast,
exclude = NULL)
results_df_allsessions_significant$rightcontrast_factor <- factor(results_df_allsessions_significant$rightcontrast,
exclude = NULL)
} else {
# Regular factor conversion if no NAs
results_df_allsessions_significant$leftcontrast_factor <- factor(results_df_allsessions_significant$leftcontrast)
results_df_allsessions_significant$rightcontrast_factor <- factor(results_df_allsessions_significant$rightcontrast)
}
# Now try the interaction
results_df_allsessions_significant$contrast_interaction <- as.character(
interaction(results_df_allsessions_significant$rightcontrast_factor,
results_df_allsessions_significant$leftcontrast_factor,
sep = "_", drop = TRUE)
)
# Check if it worked
head(results_df_allsessions_significant[, c("leftcontrast", "rightcontrast", "contrast_interaction")])## leftcontrast rightcontrast contrast_interaction
## 1 0 0.5 0.5_0
## 2 0 0.5 0.5_0
## 3 0 0.5 0.5_0
## 4 0 0.5 0.5_0
## 5 0 0.5 0.5_0
## 6 0 0.5 0.5_0# Create a contingency table
contingency_table <- table(results_df_allsessions_significant$contrast_interaction,
results_df_allsessions_significant$feedback)
# View the contingency table
print(contingency_table)##
## -1 1
## 0_0 4631 8508
## 0_0.25 635 1103
## 0_0.5 608 3303
## 0_1 752 3719
## 0.25_0 527 1370
## 0.25_0.25 563 422
## 0.25_0.5 530 1008
## 0.25_1 1214 2951
## 0.5_0 554 2545
## 0.5_0.25 632 1080
## 0.5_0.5 531 521
## 0.5_1 519 1013
## 1_0 1150 3247
## 1_0.25 647 2350
## 1_0.5 613 927
## 1_1 427 573# Perform chi-square test
chi_square_result <- chisq.test(contingency_table)
# Print the results
print(chi_square_result)##
## Pearson's Chi-squared test
##
## data: contingency_table
## X-squared = 2102.4, df = 15, p-value < 2.2e-16# Calculate proportion of positive feedback for each contrast combination
prop_table <- prop.table(contingency_table, 1)
prop_df <- as.data.frame(prop_table)
names(prop_df) <- c("Contrast", "Feedback", "Proportion")
# Create bar plot
ggplot(prop_df, aes(x = Contrast, y = Proportion, fill = Feedback)) +
geom_bar(stat = "identity", position = "stack") +
coord_flip() +
scale_fill_manual(values = c("-1" = "red", "1" = "blue")) +
labs(title = "Proportion of Feedback by Contrast Combination",
y = "Proportion",
x = "Contrast Combination (Right-Left)") +
theme_minimal()
I have finished by EDA and data integration. From my analyses, I found that variables that correlate with feedback score are: avg_spike_count, contrast_interaction, and the PCs of the raw spike data that were deemed significantly correlated with feedback score.
Now, I am going to create testing and training datasets to train my prediction model. I want to remove trials where both left and right contrast are equal, because these trials have a randomly assigned success or failure. This will then skew my prediction model, so I choose to remove it before doing prediction at all.
# Identify rows where either:
# 1. Right contrast != left contrast, OR
# 2. Right contrast == left contrast == 0
rows_to_keep <- (results_df_allsessions_significant$rightcontrast != results_df_allsessions_significant$leftcontrast) |
(results_df_allsessions_significant$rightcontrast == 0 & results_df_allsessions_significant$leftcontrast == 0)
# Create new dataframe without the matching non-zero contrast trials
results_df_allsessions_significant_filtered <- results_df_allsessions_significant[rows_to_keep, ]To make my training and testing datasets, I will break my data into fourths, each of which will be a testing set while the rest are part of the training set. To remove any type of biases, I am going to randomly sample from the total number of trials across all sessions to create these sets.
Another thing I want to do is to have an equal number of success and failure trials within each of the training sets. I do not want the model to predict more successes incorrectly because its training dataset was skewed towards successes.
I thought about bootstrapping the data in order to have an equal distribution of feedback scores within each training set while still using all of the trials available to us. However, given the imbalance in amount between feedback = 1 (72% of total data) versus feedback = -1 (28% of total data), the bootstrapping method would need to create a large number of resampled new trials. I did not want to build a prediction model with so many “fake” trials, so I decided not to follow through with this bootstrapping plan.
library(dplyr)
library(caret)## Loading required package: lattice##
## Attaching package: 'caret'## The following object is masked from 'package:purrr':
##
## lift# First, check the feedback distribution
feedback_distribution <- table(results_df_allsessions_significant_filtered$feedback)
print("Overall feedback distribution:")## [1] "Overall feedback distribution:"print(feedback_distribution)##
## -1 1
## 13012 33124# Create a stratified 4-fold split
set.seed(123) # For reproducibility
folds <- createFolds(results_df_allsessions_significant_filtered$feedback,
k = 4,
list = TRUE,
returnTrain = FALSE)
# Create 4 pairs of training/testing datasets
train_test_pairs <- list()
for (i in 1:4) {
# Get test indices for this fold
test_indices <- folds[[i]]
# Get train indices (all rows except test_indices)
train_indices <- setdiff(1:nrow(results_df_allsessions_significant_filtered), test_indices)
# Create test dataset
test_data <- results_df_allsessions_significant_filtered[test_indices, ]
# Create train dataset
train_data <- results_df_allsessions_significant_filtered[train_indices, ]
# Store in list
train_test_pairs[[i]] <- list(
train = train_data,
test = test_data
)
# Print fold information
cat("\nFold", i, "summary:\n")
cat("Training set size:", nrow(train_data),
"(", round(nrow(train_data) / nrow(results_df_allsessions_significant_filtered) * 100, 1), "%)\n")
cat("Testing set size:", nrow(test_data),
"(", round(nrow(test_data) / nrow(results_df_allsessions_significant_filtered) * 100, 1), "%)\n")
# Check feedback balance
train_feedback <- table(train_data$feedback)
test_feedback <- table(test_data$feedback)
cat("Training feedback distribution:",
paste0(names(train_feedback), "=", train_feedback,
" (", round(100 * train_feedback / sum(train_feedback), 1), "%)"),
"\n")
cat("Testing feedback distribution:",
paste0(names(test_feedback), "=", test_feedback,
" (", round(100 * test_feedback / sum(test_feedback), 1), "%)"),
"\n")
}##
## Fold 1 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%)
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%)
##
## Fold 2 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%)
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%)
##
## Fold 3 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%)
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%)
##
## Fold 4 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%)
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%)# Save the specific train/test datasets you may need
# For example, to use fold 1:
train_data <- train_test_pairs[[1]]$train
test_data <- train_test_pairs[[1]]$test
# You can access other folds similarly:
# train_data_2 <- train_test_pairs[[2]]$train
# test_data_2 <- train_test_pairs[[2]]$testNow, I am using my testing and training sets to evaluate the performance of a logistic regression model:
library(pROC)## Type 'citation("pROC")' for a citation.##
## Attaching package: 'pROC'## The following objects are masked from 'package:stats':
##
## cov, smooth, var# Function to build and evaluate the model for a single fold
evaluate_fold <- function(train_data, test_data, fold_number) {
# Ensure feedback is correctly handled as a factor
train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
# Print unique feedback values to confirm
cat("Unique feedback values in training data:", levels(train_data$feedback), "\n")
cat("Unique feedback values in test data:", levels(test_data$feedback), "\n")
# Calculate class weights
neg_weight <- nrow(train_data) / (2 * sum(train_data$feedback == "-1"))
pos_weight <- nrow(train_data) / (2 * sum(train_data$feedback == "1"))
class_weights <- c(neg_weight, pos_weight)
names(class_weights) <- c("-1", "1")
cat("\nFold", fold_number, "class weights:",
paste(names(class_weights), "=", round(class_weights, 2)), "\n")
# Identify PC columns
pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
# Create formula with required variables
# Include avg_spike_count, contrastdiff, and all PC columns
formula_vars <- c("avg_spike_count", "contrastdiff", pc_cols)
formula_str <- paste("feedback ~", paste(formula_vars, collapse = " + "))
model_formula <- as.formula(formula_str)
# Train logistic regression model with class weights
logistic_model <- glm(model_formula,
data = train_data,
family = binomial(),
weights = ifelse(train_data$feedback == "-1",
class_weights["-1"],
class_weights["1"]))
# Make predictions on test data
test_predictions_prob <- predict(logistic_model,
newdata = test_data,
type = "response")
test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
test_predictions <- factor(test_predictions, levels = c("-1", "1"))
# Add diagnostic information about the predictions
cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
cat("Number of predictions:", length(test_predictions), "\n")
cat("Number of test cases:", nrow(test_data), "\n")
# First few predictions and actual values for checking
cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
# Calculate accuracy with na.rm=TRUE
accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
# Create confusion matrix
conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
# Calculate other metrics
# Add error handling for edge cases
precision <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix["1",])
}, error = function(e) NA)
recall <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix[,"1"])
}, error = function(e) NA)
f1_score <- tryCatch({
2 * precision * recall / (precision + recall)
}, error = function(e) NA)
# Calculate AUC - convert feedback to numeric for ROC
test_feedback_numeric <- as.numeric(test_data$feedback == "1")
roc_obj <- tryCatch({
roc(test_feedback_numeric, test_predictions_prob)
}, error = function(e) NULL)
auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
# Return all metrics
return(list(
fold = fold_number,
model = logistic_model,
accuracy = accuracy,
conf_matrix = conf_matrix,
precision = precision,
recall = recall,
f1_score = f1_score,
auc = auc_value,
roc = roc_obj
))
}
# Run evaluation for all folds
results <- list()
for (i in 1:4) {
cat("\n======== Evaluating Fold", i, "========\n")
train_data <- train_test_pairs[[i]]$train
test_data <- train_test_pairs[[i]]$test
results[[i]] <- evaluate_fold(train_data, test_data, i)
# Print metrics for this fold
cat("Fold", i, "metrics:\n")
cat("Accuracy:", round(results[[i]]$accuracy * 100, 2), "%\n")
cat("Confusion Matrix:\n")
print(results[[i]]$conf_matrix)
cat("Precision:", round(results[[i]]$precision, 3), "\n")
cat("Recall:", round(results[[i]]$recall, 3), "\n")
cat("F1 Score:", round(results[[i]]$f1_score, 3), "\n")
cat("AUC:", round(results[[i]]$auc, 3), "\n\n")
}##
## ======== Evaluating Fold 1 ========
## Unique feedback values in training data: -1 1
## Unique feedback values in test data: -1 1
##
## Fold 1 class weights: -1 = 1.77 1 = 0.7## Warning in eval(family$initialize): non-integer #successes in a binomial glm!## Number of NA in predictions: 6962
## Number of NA in actual feedback: 0
## Number of predictions: 11534
## Number of test cases: 11534
## First 10 predictions: 1 1 1 1 -1 1 -1 1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1## Setting direction: controls < cases## Fold 1 metrics:
## Accuracy: 62.99 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 827 1206
## 1 486 2053
## Precision: 0.809
## Recall: 0.63
## F1 Score: 0.708
## AUC: 0.682
##
##
## ======== Evaluating Fold 2 ========
## Unique feedback values in training data: -1 1
## Unique feedback values in test data: -1 1
##
## Fold 2 class weights: -1 = 1.77 1 = 0.7## Warning in eval(family$initialize): non-integer #successes in a binomial glm!## Number of NA in predictions: 6853
## Number of NA in actual feedback: 0
## Number of predictions: 11534
## Number of test cases: 11534
## First 10 predictions: 1 1 -1 -1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 2 metrics:
## Accuracy: 62.12 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 839 1270
## 1 503 2069
## Precision: 0.804
## Recall: 0.62
## F1 Score: 0.7
## AUC: 0.678
##
##
## ======== Evaluating Fold 3 ========
## Unique feedback values in training data: -1 1
## Unique feedback values in test data: -1 1
##
## Fold 3 class weights: -1 = 1.77 1 = 0.7## Warning in eval(family$initialize): non-integer #successes in a binomial glm!## Number of NA in predictions: 6945
## Number of NA in actual feedback: 0
## Number of predictions: 11534
## Number of test cases: 11534
## First 10 predictions: 1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 3 metrics:
## Accuracy: 61.65 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 822 1310
## 1 450 2007
## Precision: 0.817
## Recall: 0.605
## F1 Score: 0.695
## AUC: 0.676
##
##
## ======== Evaluating Fold 4 ========
## Unique feedback values in training data: -1 1
## Unique feedback values in test data: -1 1
##
## Fold 4 class weights: -1 = 1.77 1 = 0.7## Warning in eval(family$initialize): non-integer #successes in a binomial glm!## Number of NA in predictions: 6982
## Number of NA in actual feedback: 0
## Number of predictions: 11534
## Number of test cases: 11534
## First 10 predictions: 1 -1 -1 -1 1 1 1 1 1 1
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 4 metrics:
## Accuracy: 61.67 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 834 1301
## 1 444 1973
## Precision: 0.816
## Recall: 0.603
## F1 Score: 0.693
## AUC: 0.68# Calculate average metrics across all folds
avg_accuracy <- mean(sapply(results, function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(results, function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(results, function(x) x$auc), na.rm = TRUE)
cat("\n======== CROSS-VALIDATION SUMMARY ========\n")##
## ======== CROSS-VALIDATION SUMMARY ========cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")## Average Accuracy: 62.11 %cat("Average Precision:", round(avg_precision, 3), "\n")## Average Precision: 0.812cat("Average Recall:", round(avg_recall, 3), "\n")## Average Recall: 0.614cat("Average F1 Score:", round(avg_f1, 3), "\n")## Average F1 Score: 0.699cat("Average AUC:", round(avg_auc, 3), "\n")## Average AUC: 0.679# Check which variables are most important across all folds
combined_coefficients <- data.frame()
for (i in 1:4) {
tryCatch({
coef_table <- summary(results[[i]]$model)$coefficients
coef_df <- as.data.frame(coef_table)
coef_df$Variable <- rownames(coef_table)
coef_df$Fold <- i
# Rename columns without special characters
names(coef_df) <- gsub("`", "", names(coef_df))
names(coef_df) <- gsub(" ", "_", names(coef_df))
combined_coefficients <- rbind(combined_coefficients, coef_df)
}, error = function(e) {
cat("Error processing coefficients for fold", i, ":", e$message, "\n")
})
}
# Calculate average absolute z-value for each variable
if(nrow(combined_coefficients) > 0) {
# Make sure the z-value column exists and is named consistently
z_col_name <- grep("z_value|z.value|zvalue", names(combined_coefficients), value = TRUE)[1]
if(!is.na(z_col_name)) {
# Use the correct column name in the formula
formula_str <- paste("abs(", z_col_name, ") ~ Variable", sep="")
variable_importance <- aggregate(as.formula(formula_str), data = combined_coefficients, FUN = mean)
# Rename the column to a consistent name
names(variable_importance)[2] <- "Mean_Abs_Z"
# Sort by importance
variable_importance <- variable_importance[order(variable_importance$Mean_Abs_Z, decreasing = TRUE), ]
cat("\n======== TOP 10 MOST IMPORTANT VARIABLES ========\n")
print(head(variable_importance, 10))
} else {
cat("Could not find z-value column in coefficient table\n")
}
} else {
cat("No coefficient data available\n")
}##
## ======== TOP 10 MOST IMPORTANT VARIABLES ========
## Variable Mean_Abs_Z
## 6 contrastdiff0 14.431497
## 3 contrastdiff-0.25 12.009434
## 5 contrastdiff-0.75 11.456543
## 7 contrastdiff0.25 10.992838
## 1 (Intercept) 9.401347
## 35 PC4_score 9.234073
## 17 PC107_score 8.313589
## 11 PC1_score 7.734135
## 2 avg_spike_count 6.993939
## 31 PC35_score 6.876898library(MASS) # For LDA##
## Attaching package: 'MASS'## The following object is masked from 'package:dplyr':
##
## selectlibrary(pROC) # For ROC analysis
# Function to evaluate LDA model with class weights on a single fold
evaluate_lda_weighted_fold <- function(train_data, test_data, fold_number) {
# Ensure feedback is correctly handled as a factor
train_data$feedback <- factor(train_data$feedback, levels = c("-1", "1"))
test_data$feedback <- factor(test_data$feedback, levels = c("-1", "1"))
# Identify PC columns
pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
# Create formula with required variables
formula_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
formula_str <- paste("feedback ~", paste(formula_vars, collapse = " + "))
model_formula <- as.formula(formula_str)
# Calculate class weights based on class distribution
class_counts <- table(train_data$feedback)
total_samples <- sum(class_counts)
# Calculate prior probabilities (inverse of class frequencies)
# This gives higher weight to the minority class
neg_weight <- total_samples / (2 * class_counts["-1"])
pos_weight <- total_samples / (2 * class_counts["1"])
# Normalize weights to sum to 1
total_weight <- neg_weight + pos_weight
prior_probs <- c(neg_weight/total_weight, pos_weight/total_weight)
names(prior_probs) <- c("-1", "1")
cat("Class distribution - Negative:", class_counts["-1"], "Positive:", class_counts["1"], "\n")
cat("Prior probabilities - Negative:", round(prior_probs["-1"], 3), "Positive:", round(prior_probs["1"], 3), "\n")
# Train LDA model with balanced priors
lda_model <- lda(model_formula, data = train_data, prior = prior_probs)
# Make predictions on test data
lda_pred <- predict(lda_model, newdata = test_data)
test_predictions <- lda_pred$class
test_predictions_prob <- lda_pred$posterior[, "1"] # Posterior probabilities for class 1
# Add diagnostic information about the predictions
cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
# Calculate accuracy
accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
# Create confusion matrix
conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
# Calculate other metrics
precision <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix["1",])
}, error = function(e) NA)
recall <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix[,"1"])
}, error = function(e) NA)
specificity <- tryCatch({
conf_matrix["-1","-1"] / sum(conf_matrix[,"-1"])
}, error = function(e) NA)
f1_score <- tryCatch({
2 * precision * recall / (precision + recall)
}, error = function(e) NA)
balanced_acc <- (recall + specificity) / 2
# Calculate AUC
test_feedback_numeric <- as.numeric(test_data$feedback == "1")
roc_obj <- tryCatch({
roc(test_feedback_numeric, test_predictions_prob)
}, error = function(e) NULL)
auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
# Return all metrics
return(list(
fold = fold_number,
model = lda_model,
accuracy = accuracy,
conf_matrix = conf_matrix,
precision = precision,
recall = recall,
specificity = specificity,
balanced_accuracy = balanced_acc,
f1_score = f1_score,
auc = auc_value,
roc = roc_obj,
prior_probs = prior_probs
))
}
# Run evaluation for all folds
lda_weighted_results <- list()
for (i in 1:4) {
cat("\n======== Evaluating Weighted LDA Model on Fold", i, "========\n")
train_data <- train_test_pairs[[i]]$train
test_data <- train_test_pairs[[i]]$test
# Check if contrast_interaction exists and create if needed
if (!"contrast_interaction" %in% colnames(train_data)) {
cat("Creating contrast_interaction variable...\n")
train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
}
lda_weighted_results[[i]] <- evaluate_lda_weighted_fold(train_data, test_data, i)
# Print metrics for this fold
cat("Fold", i, "metrics:\n")
cat("Accuracy:", round(lda_weighted_results[[i]]$accuracy * 100, 2), "%\n")
cat("Balanced Accuracy:", round(lda_weighted_results[[i]]$balanced_accuracy * 100, 2), "%\n")
cat("Confusion Matrix:\n")
print(lda_weighted_results[[i]]$conf_matrix)
cat("Precision:", round(lda_weighted_results[[i]]$precision, 3), "\n")
cat("Recall (Sensitivity):", round(lda_weighted_results[[i]]$recall, 3), "\n")
cat("Specificity:", round(lda_weighted_results[[i]]$specificity, 3), "\n")
cat("F1 Score:", round(lda_weighted_results[[i]]$f1_score, 3), "\n")
cat("AUC:", round(lda_weighted_results[[i]]$auc, 3), "\n\n")
}##
## ======== Evaluating Weighted LDA Model on Fold 1 ========
## Class distribution - Negative: 9759 Positive: 24843
## Prior probabilities - Negative: 0.718 Positive: 0.282## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf## Number of NA in predictions: 6962
## Number of NA in actual feedback: 0
## First 10 predictions: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1## Setting direction: controls < cases## Fold 1 metrics:
## Accuracy: 40.27 %
## Balanced Accuracy: 56.62 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 1248 2666
## 1 65 593
## Precision: 0.901
## Recall (Sensitivity): 0.182
## Specificity: 0.95
## F1 Score: 0.303
## AUC: 0.691
##
##
## ======== Evaluating Weighted LDA Model on Fold 2 ========
## Class distribution - Negative: 9759 Positive: 24843
## Prior probabilities - Negative: 0.718 Positive: 0.282## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf## Number of NA in predictions: 6853
## Number of NA in actual feedback: 0
## First 10 predictions: -1 1 -1 -1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 2 metrics:
## Accuracy: 40.21 %
## Balanced Accuracy: 56.46 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 1269 2726
## 1 73 613
## Precision: 0.894
## Recall (Sensitivity): 0.184
## Specificity: 0.946
## F1 Score: 0.305
## AUC: 0.681
##
##
## ======== Evaluating Weighted LDA Model on Fold 3 ========
## Class distribution - Negative: 9759 Positive: 24843
## Prior probabilities - Negative: 0.718 Positive: 0.282## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf## Number of NA in predictions: 6945
## Number of NA in actual feedback: 0
## First 10 predictions: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 3 metrics:
## Accuracy: 38.59 %
## Balanced Accuracy: 55.87 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 1204 2750
## 1 68 567
## Precision: 0.893
## Recall (Sensitivity): 0.171
## Specificity: 0.947
## F1 Score: 0.287
## AUC: 0.684
##
##
## ======== Evaluating Weighted LDA Model on Fold 4 ========
## Class distribution - Negative: 9759 Positive: 24843
## Prior probabilities - Negative: 0.718 Positive: 0.282## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf## Number of NA in predictions: 6982
## Number of NA in actual feedback: 0
## First 10 predictions: -1 -1 -1 -1 -1 -1 1 -1 -1 -1
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 4 metrics:
## Accuracy: 39.72 %
## Balanced Accuracy: 56.42 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 1208 2674
## 1 70 600
## Precision: 0.896
## Recall (Sensitivity): 0.183
## Specificity: 0.945
## F1 Score: 0.304
## AUC: 0.691# Calculate average metrics across all folds
avg_accuracy <- mean(sapply(lda_weighted_results, function(x) x$accuracy), na.rm = TRUE)
avg_balanced_acc <- mean(sapply(lda_weighted_results, function(x) x$balanced_accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(lda_weighted_results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(lda_weighted_results, function(x) x$recall), na.rm = TRUE)
avg_specificity <- mean(sapply(lda_weighted_results, function(x) x$specificity), na.rm = TRUE)
avg_f1 <- mean(sapply(lda_weighted_results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(lda_weighted_results, function(x) x$auc), na.rm = TRUE)
cat("\n======== WEIGHTED LDA MODEL CROSS-VALIDATION SUMMARY ========\n")##
## ======== WEIGHTED LDA MODEL CROSS-VALIDATION SUMMARY ========cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")## Average Accuracy: 39.7 %cat("Average Balanced Accuracy:", round(avg_balanced_acc * 100, 2), "%\n")## Average Balanced Accuracy: 56.35 %cat("Average Precision:", round(avg_precision, 3), "\n")## Average Precision: 0.896cat("Average Recall (Sensitivity):", round(avg_recall, 3), "\n")## Average Recall (Sensitivity): 0.18cat("Average Specificity:", round(avg_specificity, 3), "\n")## Average Specificity: 0.947cat("Average F1 Score:", round(avg_f1, 3), "\n")## Average F1 Score: 0.3cat("Average AUC:", round(avg_auc, 3), "\n")## Average AUC: 0.687# Check which variables are most important in the LDA model
# We'll look at the coefficients of the linear discriminants
combined_coefficients <- data.frame()
for (i in 1:4) {
coef_vals <- lda_weighted_results[[i]]$model$scaling
coef_df <- data.frame(
Variable = rownames(coef_vals),
Coefficient = coef_vals[,1], # Extract first linear discriminant
Abs_Coefficient = abs(coef_vals[,1]),
Fold = i
)
combined_coefficients <- rbind(combined_coefficients, coef_df)
}
# Calculate average absolute coefficient value for each variable
variable_importance <- aggregate(Abs_Coefficient ~ Variable, data = combined_coefficients, FUN = mean)
variable_importance <- variable_importance[order(variable_importance$Abs_Coefficient, decreasing = TRUE), ]
cat("\n======== TOP 10 MOST IMPORTANT VARIABLES IN WEIGHTED LDA MODEL ========\n")##
## ======== TOP 10 MOST IMPORTANT VARIABLES IN WEIGHTED LDA MODEL ========print(head(variable_importance, 10))## Variable Abs_Coefficient
## 4 contrast_interaction0_1 1.3356375
## 8 contrast_interaction0.5_0 1.2852874
## 3 contrast_interaction0_0.5 1.2283870
## 11 contrast_interaction1_0 0.9813719
## 12 contrast_interaction1_0.25 0.9255641
## 5 contrast_interaction0.25_0 0.3622827
## 13 contrast_interaction1_0.5 0.3095622
## 2 contrast_interaction0_0.25 0.2427262
## 9 contrast_interaction0.5_0.25 0.2208944
## 1 avg_spike_count 0.1377123# Return the results for potential further analysis
lda_weighted_results## [[1]]
## [[1]]$fold
## [1] 1
##
## [[1]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
##
## Prior probabilities of groups:
## -1 1
## 0.7179643 0.2820357
##
## Group means:
## avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1 1.377611 0.04933196 0.05832477
## 1 1.543354 0.02930514 0.09929507
## contrast_interaction0_1 contrast_interaction0.25_0
## -1 0.05986639 0.03931141
## 1 0.12406848 0.03544814
## contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1 0.04573484 0.10020555
## 1 0.02940584 0.07844914
## contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1 0.03879753 0.0516444
## 1 0.07532729 0.0327291
## contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1 0.04342240 0.07194245 0.0475334
## 1 0.02920443 0.10161128 0.0734139
## contrast_interaction1_0.5 PC107_score PC4_score PC112_score PC7_score
## -1 0.05626927 -1.1116782 2.022312 -0.8354093 -1.450512
## 1 0.03333333 0.6008404 -0.680685 0.3170615 0.510304
## PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1 1.5429260 0.5115369 -0.8230462 1.1129885 -1.1719349 -0.7835377
## 1 -0.6615047 -0.4143426 0.4093146 -0.1865973 0.2827777 0.3382201
## PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.4352489 -1.3085231 0.9032018 1.1569124 -0.4859186 0.2338516
## 1 0.3885910 0.4545621 -0.3004339 -0.4062817 0.3364183 -0.2803041
## PC76_score PC5_score PC102_score PC16_score PC106_score PC98_score
## -1 0.8880454 -0.8182320 0.9342715 -0.5959180 0.8810383 1.2226381
## 1 -0.1476479 0.3070067 -0.1595597 0.3515915 -0.2229939 -0.1837846
## PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score
## -1 -0.9552172 -0.8633322 0.84040030 0.4075028 0.6856030 0.1801396
## 1 0.1009591 0.3076162 -0.04993547 -0.3149751 -0.1852363 -0.5168386
## PC38_score PC72_score PC78_score PC48_score PC67_score PC65_score
## -1 0.4953285 0.4776801 0.9809978 -0.6384010 -0.80427952 0.5425075
## 1 -0.2943615 -0.3017630 -0.2911599 0.2915276 0.05288952 -0.1232011
## PC49_score PC22_score PC100_score PC30_score PC64_score PC59_score
## -1 -0.5767510 -0.9518463 -0.5295305 -0.6493892 0.59821003 -0.5873668
## 1 0.2057713 0.1687316 0.2391448 0.2441525 -0.09023248 0.2865059
## PC34_score PC57_score PC58_score PC36_score PC70_score PC77_score
## -1 -0.59492462 0.4680601 0.67383209 -0.1094622 0.06464584 -0.25831138
## 1 0.04489649 -0.2842548 -0.07357184 0.1212232 0.22862965 0.04032713
## PC14_score PC73_score PC23_score PC44_score PC8_score PC101_score
## -1 -0.5340485 -0.2486359 0.1483666 -0.34435882 0.2595247 -0.1688923
## 1 0.2934371 0.2627771 -0.1371323 0.09891333 0.1208274 0.1896260
## PC113_score
## -1 0.3976118
## 1 -0.1629620
##
## Coefficients of linear discriminants:
## LD1
## avg_spike_count 0.139285239
## contrast_interaction0_0.25 -0.355536289
## contrast_interaction0_0.5 1.175849132
## contrast_interaction0_1 1.286468419
## contrast_interaction0.25_0 0.330538729
## contrast_interaction0.25_0.5 -0.077390549
## contrast_interaction0.25_1 -0.017812323
## contrast_interaction0.5_0 1.268184702
## contrast_interaction0.5_0.25 -0.232830230
## contrast_interaction0.5_1 0.003556589
## contrast_interaction1_0 0.950297532
## contrast_interaction1_0.25 0.906379668
## contrast_interaction1_0.5 -0.422189821
## PC107_score 0.017864060
## PC4_score -0.011987252
## PC112_score 0.011211382
## PC7_score 0.010027852
## PC1_score -0.009692456
## PC66_score -0.007257469
## PC40_score 0.009471177
## PC104_score -0.013545177
## PC35_score 0.010127661
## PC85_score 0.009417523
## PC41_score 0.006138326
## PC33_score 0.011910866
## PC96_score -0.009584962
## PC37_score -0.011816012
## PC108_score 0.010513418
## PC91_score -0.004209771
## PC76_score -0.006807141
## PC5_score 0.006392441
## PC102_score -0.008972207
## PC16_score 0.005624462
## PC106_score -0.010932306
## PC98_score -0.013074663
## PC3_score 0.004902304
## PC28_score 0.007278742
## PC61_score -0.006226719
## PC111_score -0.008430159
## PC55_score -0.005883504
## PC50_score -0.005242747
## PC38_score -0.005873359
## PC72_score -0.005550657
## PC78_score -0.010673986
## PC48_score 0.006764485
## PC67_score 0.007107864
## PC65_score -0.003688593
## PC49_score 0.005918008
## PC22_score 0.005820194
## PC100_score 0.008112599
## PC30_score 0.005778309
## PC64_score -0.005236611
## PC59_score 0.006427522
## PC34_score 0.006132310
## PC57_score -0.005670135
## PC58_score -0.005932797
## PC36_score 0.002906356
## PC70_score 0.002007579
## PC77_score 0.004670094
## PC14_score 0.004154650
## PC73_score 0.005213818
## PC23_score 0.000871203
## PC44_score 0.004275583
## PC8_score -0.001003389
## PC101_score 0.003661841
## PC113_score -0.005272144
##
## [[1]]$accuracy
## [1] 0.4026684
##
## [[1]]$conf_matrix
## Actual
## Predicted -1 1
## -1 1248 2666
## 1 65 593
##
## [[1]]$precision
## [1] 0.9012158
##
## [[1]]$recall
## [1] 0.1819577
##
## [[1]]$specificity
## [1] 0.950495
##
## [[1]]$balanced_accuracy
## [1] 0.5662264
##
## [[1]]$f1_score
## [1] 0.3027827
##
## [[1]]$auc
## Area under the curve: 0.6907
##
## [[1]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 1313 controls (test_feedback_numeric 0) < 3259 cases (test_feedback_numeric 1).
## Area under the curve: 0.6907
##
## [[1]]$prior_probs
## -1 1
## 0.7179643 0.2820357
##
##
## [[2]]
## [[2]]$fold
## [1] 2
##
## [[2]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
##
## Prior probabilities of groups:
## -1 1
## 0.7179643 0.2820357
##
## Group means:
## avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1 1.366171 0.04918457 0.05151437
## 1 1.560656 0.02883249 0.09928934
## contrast_interaction0_1 contrast_interaction0.25_0
## -1 0.06212788 0.04038312
## 1 0.11979695 0.03502538
## contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1 0.04581931 0.09370955
## 1 0.03086294 0.07532995
## contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1 0.03934766 0.05254983
## 1 0.07796954 0.03248731
## contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1 0.04633704 0.07507119 0.05073777
## 1 0.02974619 0.10142132 0.07634518
## contrast_interaction1_0.5 PC107_score PC4_score PC112_score PC7_score
## -1 0.05410303 -1.1263948 1.7106864 -0.8020547 -1.2988658
## 1 0.03502538 0.6196233 -0.7973846 0.4971786 0.3158237
## PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1 1.4334713 0.5160721 -0.9333779 0.9597215 -1.1531232 -0.7950167
## 1 -0.5556055 -0.3994065 0.2756989 -0.1998058 0.3547461 0.2498785
## PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.3862862 -1.2686530 1.1300581 0.9072456 -0.5782968 0.4792099
## 1 0.3918434 0.4315643 -0.3645556 -0.4488864 0.3951721 -0.3065107
## PC76_score PC5_score PC102_score PC16_score PC106_score PC98_score
## -1 0.7268568 -0.7561627 0.9503452 -0.4991656 0.7351524 0.8249123
## 1 -0.2387498 0.4004241 -0.2343903 0.3903870 -0.3054684 -0.1649517
## PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score
## -1 -1.2402085 -0.8258787 0.7721884 0.4221808 0.5772312 0.4627829
## 1 0.1782714 0.2662202 -0.1243116 -0.2840755 -0.1990514 -0.3501399
## PC38_score PC72_score PC78_score PC48_score PC67_score PC65_score PC49_score
## -1 0.8206009 0.6557664 0.8962174 -0.7480609 -0.7317415 0.3359903 -0.6421892
## 1 -0.3930991 -0.3367187 -0.2097694 0.3973642 0.2237781 -0.1129718 0.1048740
## PC22_score PC100_score PC30_score PC64_score PC59_score PC34_score
## -1 -0.8050297 -0.81984758 -0.6834561 0.5367487 -0.3715992 -0.9319607
## 1 0.2290610 0.08333634 0.1788503 -0.2379175 0.2613585 0.1751097
## PC57_score PC58_score PC36_score PC70_score PC77_score PC14_score
## -1 0.4150974 0.4212814 -0.06687402 -0.2215437 -0.4184310 -0.4481251
## 1 -0.4444109 -0.2076940 0.29396336 0.1324226 0.2657867 0.2940681
## PC73_score PC23_score PC44_score PC8_score PC101_score PC113_score
## -1 -0.3252539 -0.1090708 -0.2102825 0.3527029 -0.2317205 0.2797654
## 1 0.2814796 -0.1698737 0.0979739 0.2505214 0.1231913 -0.1141610
##
## Coefficients of linear discriminants:
## LD1
## avg_spike_count 0.160604092
## contrast_interaction0_0.25 -0.349618960
## contrast_interaction0_0.5 1.312013437
## contrast_interaction0_1 1.261599595
## contrast_interaction0.25_0 0.292544236
## contrast_interaction0.25_0.5 0.070112333
## contrast_interaction0.25_1 0.050070705
## contrast_interaction0.5_0 1.337874401
## contrast_interaction0.5_0.25 -0.278642594
## contrast_interaction0.5_1 -0.014945978
## contrast_interaction1_0 0.919133123
## contrast_interaction1_0.25 0.909997488
## contrast_interaction1_0.5 -0.244973192
## PC107_score 0.019097909
## PC4_score -0.010299003
## PC112_score 0.012557033
## PC7_score 0.007671103
## PC1_score -0.009011688
## PC66_score -0.007500896
## PC40_score 0.008939327
## PC104_score -0.013096711
## PC35_score 0.011266712
## PC85_score 0.008415370
## PC41_score 0.005744940
## PC33_score 0.011628056
## PC96_score -0.012158207
## PC37_score -0.011915969
## PC108_score 0.012861895
## PC91_score -0.006607307
## PC76_score -0.005978062
## PC5_score 0.006073988
## PC102_score -0.010616935
## PC16_score 0.004914352
## PC106_score -0.011448951
## PC98_score -0.010064387
## PC3_score 0.006295046
## PC28_score 0.006217060
## PC61_score -0.006199505
## PC111_score -0.007483304
## PC55_score -0.004568202
## PC50_score -0.006382725
## PC38_score -0.008395283
## PC72_score -0.007182330
## PC78_score -0.009087955
## PC48_score 0.007806718
## PC67_score 0.007750631
## PC65_score -0.002333934
## PC49_score 0.005604527
## PC22_score 0.005610610
## PC100_score 0.008722983
## PC30_score 0.005706750
## PC64_score -0.005197443
## PC59_score 0.004567020
## PC34_score 0.008214583
## PC57_score -0.006993845
## PC58_score -0.005795404
## PC36_score 0.003732309
## PC70_score 0.003320466
## PC77_score 0.008090434
## PC14_score 0.003407139
## PC73_score 0.005565963
## PC23_score 0.002394636
## PC44_score 0.003352786
## PC8_score -0.001091317
## PC101_score 0.004073848
## PC113_score -0.003668061
##
## [[2]]$accuracy
## [1] 0.4020508
##
## [[2]]$conf_matrix
## Actual
## Predicted -1 1
## -1 1269 2726
## 1 73 613
##
## [[2]]$precision
## [1] 0.893586
##
## [[2]]$recall
## [1] 0.1835879
##
## [[2]]$specificity
## [1] 0.9456036
##
## [[2]]$balanced_accuracy
## [1] 0.5645957
##
## [[2]]$f1_score
## [1] 0.3045963
##
## [[2]]$auc
## Area under the curve: 0.6812
##
## [[2]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 1342 controls (test_feedback_numeric 0) < 3339 cases (test_feedback_numeric 1).
## Area under the curve: 0.6812
##
## [[2]]$prior_probs
## -1 1
## 0.7179643 0.2820357
##
##
## [[3]]
## [[3]]$fold
## [1] 3
##
## [[3]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
##
## Prior probabilities of groups:
## -1 1
## 0.7179643 0.2820357
##
## Group means:
## avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1 1.387838 0.04449530 0.06025934
## 1 1.559673 0.02856564 0.09724473
## contrast_interaction0_1 contrast_interaction0.25_0
## -1 0.05949657 0.03890160
## 1 0.12702593 0.03707455
## contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1 0.04678363 0.09382151
## 1 0.03251621 0.07708671
## contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1 0.04551233 0.05314010
## 1 0.07830227 0.03241491
## contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1 0.04627511 0.06890414 0.04830918
## 1 0.02947731 0.10068882 0.07425041
## contrast_interaction1_0.5 PC107_score PC4_score PC112_score PC7_score
## -1 0.05364861 -1.228885 1.8816072 -0.8736004 -1.4379997
## 1 0.03292139 0.629041 -0.7881291 0.4825276 0.5239277
## PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1 1.7042489 0.3963428 -0.7704517 0.764129 -1.0976240 -0.7437932
## 1 -0.6307289 -0.4086549 0.6886198 -0.345676 0.5651674 0.2658475
## PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.4955081 -1.2277655 0.9705849 1.0133898 -0.5394594 0.3350102
## 1 0.3485856 0.4632964 -0.3957138 -0.5031881 0.2001616 -0.2672195
## PC76_score PC5_score PC102_score PC16_score PC106_score PC98_score
## -1 0.7449385 -0.6722239 1.0860059 -0.6877150 0.7050947 1.1483067
## 1 -0.2187375 0.3259027 -0.2248242 0.3989311 -0.3570380 -0.2984512
## PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score
## -1 -1.4531841 -0.8012753 0.5536908 0.16012509 0.4879167 0.2692022
## 1 0.2017116 0.1741188 -0.1187234 -0.06660114 -0.2564360 -0.4296992
## PC38_score PC72_score PC78_score PC48_score PC67_score PC65_score
## -1 0.5970389 0.6692124 0.6281429 -0.6104742 -0.83810146 0.7402865
## 1 -0.3349413 -0.2059702 -0.2000830 0.4106287 0.06924869 -0.2458372
## PC49_score PC22_score PC100_score PC30_score PC64_score PC59_score
## -1 -0.4414907 -1.02634659 -0.7325378 -0.8926377 0.6154488 -0.5717413
## 1 0.1818078 0.07255284 0.2546741 0.2688194 -0.1029716 0.3723872
## PC34_score PC57_score PC58_score PC36_score PC70_score PC77_score
## -1 -0.6495177 0.4508596 0.85689402 -0.2229841 -0.1809436 -0.20248616
## 1 0.1164362 -0.2081855 -0.07975066 0.2921222 0.1323041 0.08565465
## PC14_score PC73_score PC23_score PC44_score PC8_score PC101_score
## -1 -0.4008926 -0.40639244 0.11345457 -0.188161399 0.3957835 -0.3955377
## 1 0.3037836 0.03967166 -0.08115218 -0.001660849 0.3534274 0.1784347
## PC113_score
## -1 0.2207825
## 1 -0.1018517
##
## Coefficients of linear discriminants:
## LD1
## avg_spike_count 0.1292936546
## contrast_interaction0_0.25 -0.1437316357
## contrast_interaction0_0.5 1.1415185882
## contrast_interaction0_1 1.3787758164
## contrast_interaction0.25_0 0.4475545924
## contrast_interaction0.25_0.5 0.1292377599
## contrast_interaction0.25_1 0.1238206089
## contrast_interaction0.5_0 1.2099584155
## contrast_interaction0.5_0.25 -0.3249878522
## contrast_interaction0.5_1 -0.0481061199
## contrast_interaction1_0 1.0486282221
## contrast_interaction1_0.25 0.9513335972
## contrast_interaction1_0.5 -0.2708698637
## PC107_score 0.0206671844
## PC4_score -0.0112635515
## PC112_score 0.0141115111
## PC7_score 0.0097772420
## PC1_score -0.0105003515
## PC66_score -0.0066325583
## PC40_score 0.0102180793
## PC104_score -0.0127249896
## PC35_score 0.0117143403
## PC85_score 0.0084421989
## PC41_score 0.0058599106
## PC33_score 0.0106676313
## PC96_score -0.0110986200
## PC37_score -0.0112305836
## PC108_score 0.0087898532
## PC91_score -0.0057486819
## PC76_score -0.0064363435
## PC5_score 0.0052347729
## PC102_score -0.0115233619
## PC16_score 0.0053786118
## PC106_score -0.0107977869
## PC98_score -0.0136604684
## PC3_score 0.0077474119
## PC28_score 0.0057613320
## PC61_score -0.0043797531
## PC111_score -0.0019734666
## PC55_score -0.0046092563
## PC50_score -0.0046905134
## PC38_score -0.0068801524
## PC72_score -0.0070199678
## PC78_score -0.0073551305
## PC48_score 0.0069170836
## PC67_score 0.0082353793
## PC65_score -0.0060911324
## PC49_score 0.0051524507
## PC22_score 0.0060312865
## PC100_score 0.0099919586
## PC30_score 0.0067123355
## PC64_score -0.0049980523
## PC59_score 0.0062245824
## PC34_score 0.0062773906
## PC57_score -0.0056068555
## PC58_score -0.0076599823
## PC36_score 0.0050919339
## PC70_score 0.0030325922
## PC77_score 0.0040462275
## PC14_score 0.0033722480
## PC73_score 0.0043795540
## PC23_score 0.0013765503
## PC44_score 0.0029505335
## PC8_score -0.0006391076
## PC101_score 0.0067646920
## PC113_score -0.0030205026
##
## [[3]]$accuracy
## [1] 0.3859229
##
## [[3]]$conf_matrix
## Actual
## Predicted -1 1
## -1 1204 2750
## 1 68 567
##
## [[3]]$precision
## [1] 0.8929134
##
## [[3]]$recall
## [1] 0.1709376
##
## [[3]]$specificity
## [1] 0.9465409
##
## [[3]]$balanced_accuracy
## [1] 0.5587392
##
## [[3]]$f1_score
## [1] 0.2869433
##
## [[3]]$auc
## Area under the curve: 0.6838
##
## [[3]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 1272 controls (test_feedback_numeric 0) < 3317 cases (test_feedback_numeric 1).
## Area under the curve: 0.6838
##
## [[3]]$prior_probs
## -1 1
## 0.7179643 0.2820357
##
##
## [[4]]
## [[4]]$fold
## [1] 4
##
## [[4]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
##
## Prior probabilities of groups:
## -1 1
## 0.7179643 0.2820357
##
## Group means:
## avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1 1.397449 0.04685511 0.05729565
## 1 1.554034 0.03005547 0.10115986
## contrast_interaction0_1 contrast_interaction0.25_0
## -1 0.05907818 0.04125286
## 1 0.12405446 0.03681291
## contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1 0.04303540 0.09651133
## 1 0.02914776 0.07786183
## contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1 0.04074357 0.04787369
## 1 0.07624811 0.03308119
## contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1 0.04150751 0.07384772 0.05092946
## 1 0.02894604 0.10267272 0.07443268
## contrast_interaction1_0.5 PC107_score PC4_score PC112_score PC7_score
## -1 0.05653170 -1.0364782 1.9319591 -0.8993722 -1.506725
## 1 0.03429148 0.6328512 -0.7557396 0.3831901 0.389633
## PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1 1.5389745 0.4381237 -0.9049646 0.8491836 -1.2191561 -0.7094489
## 1 -0.7488835 -0.2680604 0.3893314 -0.3271423 0.4885318 0.1947792
## PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.6272729 -1.0316650 0.7372284 0.7662393 -0.3838061 0.2795062
## 1 0.3530345 0.3414039 -0.3467749 -0.3245967 0.2463929 -0.2438931
## PC76_score PC5_score PC102_score PC16_score PC106_score PC98_score
## -1 1.0440202 -0.7256177 0.9572544 -0.6050637 0.9011733 1.0353206
## 1 -0.2629857 0.4339881 -0.2085757 0.4393301 -0.2149903 -0.2321702
## PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score PC38_score
## -1 -1.366603 -1.0071799 0.8237326 0.08126532 0.5341173 0.3560005 0.6997019
## 1 0.197288 0.4891138 -0.1400585 -0.24870111 -0.1609653 -0.4233571 -0.2606990
## PC72_score PC78_score PC48_score PC67_score PC65_score PC49_score
## -1 0.4881919 0.8938960 -0.8514610 -0.8654144 0.56062847 -0.5493575
## 1 -0.4533460 -0.2394484 0.2019365 0.2827540 -0.05099694 0.2102512
## PC22_score PC100_score PC30_score PC64_score PC59_score PC34_score
## -1 -0.8076127 -0.6839611 -0.7107442 0.5477507 -0.2237657 -0.72218404
## 1 0.1796055 0.2503391 0.2939872 -0.2065488 0.3033302 -0.02400099
## PC57_score PC58_score PC36_score PC70_score PC77_score PC14_score
## -1 0.1989567 0.54431515 -0.4524011 -0.01986859 -0.1845146 -0.4388606
## 1 -0.2127122 -0.07541254 0.4945333 0.01902301 0.1629453 0.2382303
## PC73_score PC23_score PC44_score PC8_score PC101_score PC113_score
## -1 -0.4564653 -0.07117909 -0.21975627 0.2428585 -0.2253859 0.55057865
## 1 0.1579273 -0.07447426 0.09262108 0.2619138 0.1223520 -0.05351406
##
## Coefficients of linear discriminants:
## LD1
## avg_spike_count 0.1216661285
## contrast_interaction0_0.25 -0.1220180486
## contrast_interaction0_0.5 1.2841670279
## contrast_interaction0_1 1.4157062319
## contrast_interaction0.25_0 0.3784930626
## contrast_interaction0.25_0.5 0.0708727298
## contrast_interaction0.25_1 0.1071683408
## contrast_interaction0.5_0 1.3251320907
## contrast_interaction0.5_0.25 -0.0471168264
## contrast_interaction0.5_1 0.1171515669
## contrast_interaction1_0 1.0074289045
## contrast_interaction1_0.25 0.9345457698
## contrast_interaction1_0.5 -0.3002159208
## PC107_score 0.0175614325
## PC4_score -0.0114584807
## PC112_score 0.0134528476
## PC7_score 0.0095452945
## PC1_score -0.0105410916
## PC66_score -0.0058196203
## PC40_score 0.0102323605
## PC104_score -0.0136714518
## PC35_score 0.0125241497
## PC85_score 0.0079563753
## PC41_score 0.0072514370
## PC33_score 0.0095005011
## PC96_score -0.0101423650
## PC37_score -0.0082320491
## PC108_score 0.0084161455
## PC91_score -0.0049666120
## PC76_score -0.0085778588
## PC5_score 0.0059959602
## PC102_score -0.0107891822
## PC16_score 0.0057477034
## PC106_score -0.0099569536
## PC98_score -0.0125472653
## PC3_score 0.0076101825
## PC28_score 0.0087726459
## PC61_score -0.0070866437
## PC111_score -0.0053165951
## PC55_score -0.0040183147
## PC50_score -0.0055507724
## PC38_score -0.0068108546
## PC72_score -0.0071891870
## PC78_score -0.0093543401
## PC48_score 0.0079287920
## PC67_score 0.0097136807
## PC65_score -0.0034136046
## PC49_score 0.0063685718
## PC22_score 0.0051748872
## PC100_score 0.0097838286
## PC30_score 0.0065980946
## PC64_score -0.0055260462
## PC59_score 0.0033789787
## PC34_score 0.0061194415
## PC57_score -0.0038154573
## PC58_score -0.0058548418
## PC36_score 0.0071896488
## PC70_score 0.0001478701
## PC77_score 0.0039820477
## PC14_score 0.0031763060
## PC73_score 0.0062781335
## PC23_score 0.0020655823
## PC44_score 0.0042074354
## PC8_score -0.0005863441
## PC101_score 0.0039422305
## PC113_score -0.0055057518
##
## [[4]]$accuracy
## [1] 0.397188
##
## [[4]]$conf_matrix
## Actual
## Predicted -1 1
## -1 1208 2674
## 1 70 600
##
## [[4]]$precision
## [1] 0.8955224
##
## [[4]]$recall
## [1] 0.1832621
##
## [[4]]$specificity
## [1] 0.9452269
##
## [[4]]$balanced_accuracy
## [1] 0.5642445
##
## [[4]]$f1_score
## [1] 0.3042596
##
## [[4]]$auc
## Area under the curve: 0.6909
##
## [[4]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 1278 controls (test_feedback_numeric 0) < 3274 cases (test_feedback_numeric 1).
## Area under the curve: 0.6909
##
## [[4]]$prior_probs
## -1 1
## 0.7179643 0.2820357library(class) # For knn function
library(pROC) # For ROC analysis
library(dplyr) # For data manipulation
# Function to evaluate weighted kNN model on a single fold
evaluate_weighted_knn_fold <- function(train_data, test_data, fold_number, k = 3) {
# Ensure feedback is correctly handled as a factor
train_data$feedback <- factor(train_data$feedback, levels = c("-1", "1"))
test_data$feedback <- factor(test_data$feedback, levels = c("-1", "1"))
# Identify PC columns
pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
# Feature variables to use
feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
# Check if all feature variables exist in the data
missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
if (length(missing_vars) > 0) {
cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
}
# Check that we have features to work with
if (length(feature_vars) == 0) {
return(list(success = FALSE, message = "No valid features found"))
}
# Extract feature matrices
x_train <- train_data[, feature_vars, drop=FALSE]
x_test <- test_data[, feature_vars, drop=FALSE]
# Create numeric matrices with careful handling of NAs and non-numeric values
x_train_numeric <- as.data.frame(matrix(NA, nrow = nrow(x_train), ncol = length(feature_vars)))
colnames(x_train_numeric) <- feature_vars
x_test_numeric <- as.data.frame(matrix(NA, nrow = nrow(x_test), ncol = length(feature_vars)))
colnames(x_test_numeric) <- feature_vars
# Process each column individually with robust error handling
for (col in feature_vars) {
# Safe conversion to numeric with explicit NA handling
tryCatch({
# For training data
numeric_values <- suppressWarnings(as.numeric(as.character(x_train[[col]])))
if (sum(!is.na(numeric_values)) > 0) { # If we have some valid values
col_mean <- mean(numeric_values, na.rm = TRUE)
numeric_values[is.na(numeric_values)] <- col_mean
x_train_numeric[[col]] <- numeric_values
} else {
cat("Warning: Column", col, "has no valid numeric values in training data, using zeros\n")
x_train_numeric[[col]] <- 0
}
# For test data
numeric_values_test <- suppressWarnings(as.numeric(as.character(x_test[[col]])))
if (sum(!is.na(numeric_values_test)) > 0) {
col_mean <- mean(x_train_numeric[[col]], na.rm = TRUE) # Use training mean
numeric_values_test[is.na(numeric_values_test)] <- col_mean
x_test_numeric[[col]] <- numeric_values_test
} else {
cat("Warning: Column", col, "has no valid numeric values in test data, using zeros\n")
x_test_numeric[[col]] <- 0
}
}, error = function(e) {
cat("Error processing column", col, ":", e$message, "\n")
x_train_numeric[[col]] <- 0
x_test_numeric[[col]] <- 0
})
}
# Check for any remaining NA values
if (any(is.na(x_train_numeric))) {
cat("Warning: NA values still present in training data after processing\n")
# Replace any remaining NA values with 0
x_train_numeric[is.na(x_train_numeric)] <- 0
}
if (any(is.na(x_test_numeric))) {
cat("Warning: NA values still present in test data after processing\n")
# Replace any remaining NA values with 0
x_test_numeric[is.na(x_test_numeric)] <- 0
}
# Check for constant features safely
feature_sds <- apply(x_train_numeric, 2, function(x) sd(x, na.rm = TRUE))
# Identify and remove constant features
constant_features <- names(feature_sds)[feature_sds == 0 | is.na(feature_sds)]
if (length(constant_features) > 0) {
cat("Removing constant features:", paste(constant_features, collapse=", "), "\n")
x_train_numeric <- x_train_numeric[, !colnames(x_train_numeric) %in% constant_features, drop=FALSE]
x_test_numeric <- x_test_numeric[, !colnames(x_test_numeric) %in% constant_features, drop=FALSE]
}
# Make sure we still have features after removing constants
if (ncol(x_train_numeric) == 0) {
return(list(success = FALSE, message = "No valid features remain after removing constants"))
}
# Scale the features
feature_means <- colMeans(x_train_numeric)
feature_sds <- apply(x_train_numeric, 2, sd)
# Protect against zero standard deviations (should already be handled, but just in case)
feature_sds[feature_sds == 0] <- 1
# Apply scaling
x_train_scaled <- scale(x_train_numeric, center = feature_means, scale = feature_sds)
x_test_scaled <- scale(x_test_numeric, center = feature_means, scale = feature_sds)
# Calculate class weights
class_counts <- table(train_data$feedback)
total_samples <- sum(class_counts)
# Calculate weights (inverse of class frequencies)
neg_weight <- total_samples / (2 * class_counts["-1"])
pos_weight <- total_samples / (2 * class_counts["1"])
cat("Class distribution - Negative:", class_counts["-1"], "Positive:", class_counts["1"], "\n")
cat("Weights - Negative:", round(neg_weight, 3), "Positive:", round(pos_weight, 3), "\n")
# Implement weighted kNN through case replication
min_weight <- min(neg_weight, pos_weight)
multiplier <- 1 / min_weight
neg_replicate <- round(neg_weight * multiplier)
pos_replicate <- round(pos_weight * multiplier)
# Create replicated training set
weighted_indices <- c()
for (i in 1:nrow(train_data)) {
if (train_data$feedback[i] == "-1") {
weighted_indices <- c(weighted_indices, rep(i, neg_replicate))
} else {
weighted_indices <- c(weighted_indices, rep(i, pos_replicate))
}
}
# For very large datasets, limit the size of the weighted training set
if (length(weighted_indices) > 10000) {
cat("Training set is large (", length(weighted_indices), "samples), sampling to 10000 samples\n")
set.seed(123 + fold_number) # For reproducibility
weighted_indices <- sample(weighted_indices, 10000)
}
x_train_weighted <- x_train_scaled[weighted_indices, ]
y_train_weighted <- train_data$feedback[weighted_indices]
cat("Original training size:", nrow(x_train_scaled),
"Weighted training size:", nrow(x_train_weighted), "\n")
cat("Class balance after weighting - Negative:", sum(y_train_weighted == "-1"),
"Positive:", sum(y_train_weighted == "1"), "\n")
# Check for NAs one last time before kNN
if (any(is.na(x_train_weighted))) {
cat("Warning: NAs in weighted training data before kNN\n")
x_train_weighted[is.na(x_train_weighted)] <- 0
}
if (any(is.na(x_test_scaled))) {
cat("Warning: NAs in test data before kNN\n")
x_test_scaled[is.na(x_test_scaled)] <- 0
}
# Implement kNN with k=3
tryCatch({
knn_pred <- knn(train = x_train_weighted,
test = x_test_scaled,
cl = y_train_weighted,
k = k,
prob = TRUE) # Get probability information
# Extract probability information
knn_prob <- attr(knn_pred, "prob")
# Adjust probabilities to be for the positive class
test_predictions_prob <- ifelse(knn_pred == "1", knn_prob, 1 - knn_prob)
test_predictions <- knn_pred
# Calculate accuracy
accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
# Create confusion matrix
conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
# Calculate metrics
TP <- ifelse("1" %in% rownames(conf_matrix) && "1" %in% colnames(conf_matrix),
conf_matrix["1", "1"], 0)
FP <- ifelse("1" %in% rownames(conf_matrix) && "-1" %in% colnames(conf_matrix),
conf_matrix["1", "-1"], 0)
TN <- ifelse("-1" %in% rownames(conf_matrix) && "-1" %in% colnames(conf_matrix),
conf_matrix["-1", "-1"], 0)
FN <- ifelse("-1" %in% rownames(conf_matrix) && "1" %in% colnames(conf_matrix),
conf_matrix["-1", "1"], 0)
precision <- ifelse(TP + FP > 0, TP / (TP + FP), NA)
recall <- ifelse(TP + FN > 0, TP / (TP + FN), NA)
specificity <- ifelse(TN + FP > 0, TN / (TN + FP), NA)
f1_score <- ifelse(!is.na(precision) && !is.na(recall) && precision + recall > 0,
2 * precision * recall / (precision + recall), NA)
balanced_acc <- (recall + specificity) / 2
# Calculate AUC
test_feedback_numeric <- as.numeric(test_data$feedback == "1")
roc_obj <- tryCatch({
roc(test_feedback_numeric, test_predictions_prob)
}, error = function(e) NULL)
auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
# Return all metrics
return(list(
success = TRUE,
fold = fold_number,
k = k,
accuracy = accuracy,
conf_matrix = conf_matrix,
precision = precision,
recall = recall,
specificity = specificity,
balanced_accuracy = balanced_acc,
f1_score = f1_score,
auc = auc_value,
roc = roc_obj,
feature_vars = feature_vars,
neg_weight = neg_weight,
pos_weight = pos_weight
))
}, error = function(e) {
cat("Error in kNN prediction:", e$message, "\n")
return(list(
success = FALSE,
fold = fold_number,
message = paste("Error in kNN prediction:", e$message)
))
})
}
# Run evaluation for all folds
weighted_knn_results <- list()
for (i in 1:4) {
cat("\n======== Evaluating Weighted kNN Model (k=3) on Fold", i, "========\n")
train_data <- train_test_pairs[[i]]$train
test_data <- train_test_pairs[[i]]$test
# Check if contrast_interaction exists and create if needed
if (!"contrast_interaction" %in% colnames(train_data)) {
cat("Creating contrast_interaction variable...\n")
# Handle potential non-numeric values
train_leftcontrast <- as.numeric(as.character(train_data$leftcontrast))
train_rightcontrast <- as.numeric(as.character(train_data$rightcontrast))
test_leftcontrast <- as.numeric(as.character(test_data$leftcontrast))
test_rightcontrast <- as.numeric(as.character(test_data$rightcontrast))
# Replace NAs with 0
train_leftcontrast[is.na(train_leftcontrast)] <- 0
train_rightcontrast[is.na(train_rightcontrast)] <- 0
test_leftcontrast[is.na(test_leftcontrast)] <- 0
test_rightcontrast[is.na(test_rightcontrast)] <- 0
train_data$contrast_interaction <- train_leftcontrast * train_rightcontrast
test_data$contrast_interaction <- test_leftcontrast * test_rightcontrast
}
# Run weighted kNN with k=3
result <- evaluate_weighted_knn_fold(train_data, test_data, i, k = 3)
weighted_knn_results[[i]] <- result
if (!result$success) {
cat("Fold", i, "analysis failed:", result$message, "\n")
next
}
# Print metrics for this fold
cat("Fold", i, "metrics (k=3):\n")
cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
cat("Balanced Accuracy:", round(result$balanced_accuracy * 100, 2), "%\n")
cat("Confusion Matrix:\n")
print(result$conf_matrix)
cat("Precision:", round(result$precision, 3), "\n")
cat("Recall (Sensitivity):", round(result$recall, 3), "\n")
cat("Specificity:", round(result$specificity, 3), "\n")
cat("F1 Score:", round(result$f1_score, 3), "\n")
cat("AUC:", round(result$auc, 3), "\n\n")
}##
## ======== Evaluating Weighted kNN Model (k=3) on Fold 1 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction
## Class distribution - Negative: 9759 Positive: 24843
## Weights - Negative: 1.773 Positive: 0.696
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000
## Class balance after weighting - Negative: 5380 Positive: 4620## Setting levels: control = 0, case = 1## Setting direction: controls < cases## Fold 1 metrics (k=3):
## Accuracy: 61.05 %
## Balanced Accuracy: 64.12 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2315 3555
## 1 938 4726
## Precision: 0.834
## Recall (Sensitivity): 0.571
## Specificity: 0.712
## F1 Score: 0.678
## AUC: 0.719
##
##
## ======== Evaluating Weighted kNN Model (k=3) on Fold 2 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction
## Class distribution - Negative: 9759 Positive: 24843
## Weights - Negative: 1.773 Positive: 0.696
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000
## Class balance after weighting - Negative: 5329 Positive: 4671## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 2 metrics (k=3):
## Accuracy: 61.05 %
## Balanced Accuracy: 64.49 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2354 3593
## 1 899 4688
## Precision: 0.839
## Recall (Sensitivity): 0.566
## Specificity: 0.724
## F1 Score: 0.676
## AUC: 0.724
##
##
## ======== Evaluating Weighted kNN Model (k=3) on Fold 3 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction
## Class distribution - Negative: 9759 Positive: 24843
## Weights - Negative: 1.773 Positive: 0.696
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000
## Class balance after weighting - Negative: 5370 Positive: 4630## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 3 metrics (k=3):
## Accuracy: 60.68 %
## Balanced Accuracy: 64.23 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2354 3636
## 1 899 4645
## Precision: 0.838
## Recall (Sensitivity): 0.561
## Specificity: 0.724
## F1 Score: 0.672
## AUC: 0.721
##
##
## ======== Evaluating Weighted kNN Model (k=3) on Fold 4 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction
## Class distribution - Negative: 9759 Positive: 24843
## Weights - Negative: 1.773 Positive: 0.696
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000
## Class balance after weighting - Negative: 5372 Positive: 4628## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 4 metrics (k=3):
## Accuracy: 60.44 %
## Balanced Accuracy: 63.79 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2325 3635
## 1 928 4646
## Precision: 0.834
## Recall (Sensitivity): 0.561
## Specificity: 0.715
## F1 Score: 0.671
## AUC: 0.719# Calculate average metrics across successful folds
successful_folds <- which(sapply(weighted_knn_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
avg_accuracy <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
avg_balanced_acc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$balanced_accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$recall), na.rm = TRUE)
avg_specificity <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$specificity), na.rm = TRUE)
avg_f1 <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$auc), na.rm = TRUE)
cat("\n======== WEIGHTED KNN (k=3) MODEL CROSS-VALIDATION SUMMARY ========\n")
cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
cat("Average Balanced Accuracy:", round(avg_balanced_acc * 100, 2), "%\n")
cat("Average Precision:", round(avg_precision, 3), "\n")
cat("Average Recall (Sensitivity):", round(avg_recall, 3), "\n")
cat("Average Specificity:", round(avg_specificity, 3), "\n")
cat("Average F1 Score:", round(avg_f1, 3), "\n")
cat("Average AUC:", round(avg_auc, 3), "\n")
# Compare with other models if they exist
comparison_models <- c("kNN (k=3, weighted)")
comparison_accuracy <- c(avg_accuracy)
comparison_balanced_acc <- c(avg_balanced_acc)
comparison_precision <- c(avg_precision)
comparison_recall <- c(avg_recall)
comparison_f1 <- c(avg_f1)
comparison_auc <- c(avg_auc)
}##
## ======== WEIGHTED KNN (k=3) MODEL CROSS-VALIDATION SUMMARY ========
## Average Accuracy: 60.81 %
## Average Balanced Accuracy: 64.16 %
## Average Precision: 0.836
## Average Recall (Sensitivity): 0.565
## Average Specificity: 0.718
## Average F1 Score: 0.674
## Average AUC: 0.72weighted_knn_results## [[1]]
## [[1]]$success
## [1] TRUE
##
## [[1]]$fold
## [1] 1
##
## [[1]]$k
## [1] 3
##
## [[1]]$accuracy
## [1] 0.610456
##
## [[1]]$conf_matrix
## Actual
## Predicted -1 1
## -1 2315 3555
## 1 938 4726
##
## [[1]]$precision
## [1] 0.8343927
##
## [[1]]$recall
## [1] 0.570704
##
## [[1]]$specificity
## [1] 0.7116508
##
## [[1]]$balanced_accuracy
## [1] 0.6411774
##
## [[1]]$f1_score
## [1] 0.6778057
##
## [[1]]$auc
## Area under the curve: 0.7185
##
## [[1]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7185
##
## [[1]]$feature_vars
## [1] "avg_spike_count" "contrast_interaction" "PC107_score"
## [4] "PC4_score" "PC112_score" "PC7_score"
## [7] "PC1_score" "PC66_score" "PC40_score"
## [10] "PC104_score" "PC35_score" "PC85_score"
## [13] "PC41_score" "PC33_score" "PC96_score"
## [16] "PC37_score" "PC108_score" "PC91_score"
## [19] "PC76_score" "PC5_score" "PC102_score"
## [22] "PC16_score" "PC106_score" "PC98_score"
## [25] "PC3_score" "PC28_score" "PC61_score"
## [28] "PC111_score" "PC55_score" "PC50_score"
## [31] "PC38_score" "PC72_score" "PC78_score"
## [34] "PC48_score" "PC67_score" "PC65_score"
## [37] "PC49_score" "PC22_score" "PC100_score"
## [40] "PC30_score" "PC64_score" "PC59_score"
## [43] "PC34_score" "PC57_score" "PC58_score"
## [46] "PC36_score" "PC70_score" "PC77_score"
## [49] "PC14_score" "PC73_score" "PC23_score"
## [52] "PC44_score" "PC8_score" "PC101_score"
## [55] "PC113_score"
##
## [[1]]$neg_weight
## -1
## 1.772825
##
## [[1]]$pos_weight
## 1
## 0.6964135
##
##
## [[2]]
## [[2]]$success
## [1] TRUE
##
## [[2]]$fold
## [1] 2
##
## [[2]]$k
## [1] 3
##
## [[2]]$accuracy
## [1] 0.6105427
##
## [[2]]$conf_matrix
## Actual
## Predicted -1 1
## -1 2354 3593
## 1 899 4688
##
## [[2]]$precision
## [1] 0.8390907
##
## [[2]]$recall
## [1] 0.5661152
##
## [[2]]$specificity
## [1] 0.7236397
##
## [[2]]$balanced_accuracy
## [1] 0.6448775
##
## [[2]]$f1_score
## [1] 0.6760888
##
## [[2]]$auc
## Area under the curve: 0.7238
##
## [[2]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7238
##
## [[2]]$feature_vars
## [1] "avg_spike_count" "contrast_interaction" "PC107_score"
## [4] "PC4_score" "PC112_score" "PC7_score"
## [7] "PC1_score" "PC66_score" "PC40_score"
## [10] "PC104_score" "PC35_score" "PC85_score"
## [13] "PC41_score" "PC33_score" "PC96_score"
## [16] "PC37_score" "PC108_score" "PC91_score"
## [19] "PC76_score" "PC5_score" "PC102_score"
## [22] "PC16_score" "PC106_score" "PC98_score"
## [25] "PC3_score" "PC28_score" "PC61_score"
## [28] "PC111_score" "PC55_score" "PC50_score"
## [31] "PC38_score" "PC72_score" "PC78_score"
## [34] "PC48_score" "PC67_score" "PC65_score"
## [37] "PC49_score" "PC22_score" "PC100_score"
## [40] "PC30_score" "PC64_score" "PC59_score"
## [43] "PC34_score" "PC57_score" "PC58_score"
## [46] "PC36_score" "PC70_score" "PC77_score"
## [49] "PC14_score" "PC73_score" "PC23_score"
## [52] "PC44_score" "PC8_score" "PC101_score"
## [55] "PC113_score"
##
## [[2]]$neg_weight
## -1
## 1.772825
##
## [[2]]$pos_weight
## 1
## 0.6964135
##
##
## [[3]]
## [[3]]$success
## [1] TRUE
##
## [[3]]$fold
## [1] 3
##
## [[3]]$k
## [1] 3
##
## [[3]]$accuracy
## [1] 0.6068146
##
## [[3]]$conf_matrix
## Actual
## Predicted -1 1
## -1 2354 3636
## 1 899 4645
##
## [[3]]$precision
## [1] 0.8378427
##
## [[3]]$recall
## [1] 0.5609226
##
## [[3]]$specificity
## [1] 0.7236397
##
## [[3]]$balanced_accuracy
## [1] 0.6422812
##
## [[3]]$f1_score
## [1] 0.6719711
##
## [[3]]$auc
## Area under the curve: 0.7208
##
## [[3]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7208
##
## [[3]]$feature_vars
## [1] "avg_spike_count" "contrast_interaction" "PC107_score"
## [4] "PC4_score" "PC112_score" "PC7_score"
## [7] "PC1_score" "PC66_score" "PC40_score"
## [10] "PC104_score" "PC35_score" "PC85_score"
## [13] "PC41_score" "PC33_score" "PC96_score"
## [16] "PC37_score" "PC108_score" "PC91_score"
## [19] "PC76_score" "PC5_score" "PC102_score"
## [22] "PC16_score" "PC106_score" "PC98_score"
## [25] "PC3_score" "PC28_score" "PC61_score"
## [28] "PC111_score" "PC55_score" "PC50_score"
## [31] "PC38_score" "PC72_score" "PC78_score"
## [34] "PC48_score" "PC67_score" "PC65_score"
## [37] "PC49_score" "PC22_score" "PC100_score"
## [40] "PC30_score" "PC64_score" "PC59_score"
## [43] "PC34_score" "PC57_score" "PC58_score"
## [46] "PC36_score" "PC70_score" "PC77_score"
## [49] "PC14_score" "PC73_score" "PC23_score"
## [52] "PC44_score" "PC8_score" "PC101_score"
## [55] "PC113_score"
##
## [[3]]$neg_weight
## -1
## 1.772825
##
## [[3]]$pos_weight
## 1
## 0.6964135
##
##
## [[4]]
## [[4]]$success
## [1] TRUE
##
## [[4]]$fold
## [1] 4
##
## [[4]]$k
## [1] 3
##
## [[4]]$accuracy
## [1] 0.604387
##
## [[4]]$conf_matrix
## Actual
## Predicted -1 1
## -1 2325 3635
## 1 928 4646
##
## [[4]]$precision
## [1] 0.8335127
##
## [[4]]$recall
## [1] 0.5610434
##
## [[4]]$specificity
## [1] 0.7147249
##
## [[4]]$balanced_accuracy
## [1] 0.6378841
##
## [[4]]$f1_score
## [1] 0.6706604
##
## [[4]]$auc
## Area under the curve: 0.7186
##
## [[4]]$roc
##
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
##
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7186
##
## [[4]]$feature_vars
## [1] "avg_spike_count" "contrast_interaction" "PC107_score"
## [4] "PC4_score" "PC112_score" "PC7_score"
## [7] "PC1_score" "PC66_score" "PC40_score"
## [10] "PC104_score" "PC35_score" "PC85_score"
## [13] "PC41_score" "PC33_score" "PC96_score"
## [16] "PC37_score" "PC108_score" "PC91_score"
## [19] "PC76_score" "PC5_score" "PC102_score"
## [22] "PC16_score" "PC106_score" "PC98_score"
## [25] "PC3_score" "PC28_score" "PC61_score"
## [28] "PC111_score" "PC55_score" "PC50_score"
## [31] "PC38_score" "PC72_score" "PC78_score"
## [34] "PC48_score" "PC67_score" "PC65_score"
## [37] "PC49_score" "PC22_score" "PC100_score"
## [40] "PC30_score" "PC64_score" "PC59_score"
## [43] "PC34_score" "PC57_score" "PC58_score"
## [46] "PC36_score" "PC70_score" "PC77_score"
## [49] "PC14_score" "PC73_score" "PC23_score"
## [52] "PC44_score" "PC8_score" "PC101_score"
## [55] "PC113_score"
##
## [[4]]$neg_weight
## -1
## 1.772825
##
## [[4]]$pos_weight
## 1
## 0.6964135library(xgboost)##
## Attaching package: 'xgboost'## The following object is masked from 'package:dplyr':
##
## slicelibrary(pROC)
# Function to evaluate XGBoost model on a single fold
evaluate_xgboost_fold <- function(train_data, test_data, fold_number) {
# Ensure feedback is correctly handled
train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
# Convert feedback to 0/1 for XGBoost
y_train <- as.numeric(train_data$feedback == "1")
# Identify PC columns
pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
# Feature variables to use
feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
# Check if all feature variables exist in the data
missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
if (length(missing_vars) > 0) {
cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
}
# Check that we have features to work with
if (length(feature_vars) == 0) {
return(list(success = FALSE, message = "No valid features found"))
}
# Create feature matrices for XGBoost
# First handle missing values and convert to numeric matrix
x_train_df <- train_data[, feature_vars, drop=FALSE]
x_test_df <- test_data[, feature_vars, drop=FALSE]
# Ensure all variables are numeric
for (col in feature_vars) {
x_train_df[[col]] <- as.numeric(x_train_df[[col]])
x_test_df[[col]] <- as.numeric(x_test_df[[col]])
# Handle NAs if any
if (any(is.na(x_train_df[[col]]))) {
col_mean <- mean(x_train_df[[col]], na.rm = TRUE)
x_train_df[[col]][is.na(x_train_df[[col]])] <- col_mean
}
if (any(is.na(x_test_df[[col]]))) {
col_mean <- mean(x_train_df[[col]], na.rm = TRUE) # Use training mean
x_test_df[[col]][is.na(x_test_df[[col]])] <- col_mean
}
}
# Create DMatrix objects
dtrain <- xgb.DMatrix(data = as.matrix(x_train_df), label = y_train)
# Calculate class weight based on class distribution
neg_count <- sum(y_train == 0)
pos_count <- sum(y_train == 1)
scale_pos_weight <- neg_count / pos_count
cat("Class distribution - Negative:", neg_count, "Positive:", pos_count, "\n")
cat("scale_pos_weight:", scale_pos_weight, "\n")
# XGBoost parameters with class weighting
params <- list(
objective = "binary:logistic",
eval_metric = "auc",
eta = 0.1,
max_depth = 6,
min_child_weight = 1,
subsample = 0.8,
colsample_bytree = 0.8,
scale_pos_weight = scale_pos_weight # Add class weighting
)
# Run cross-validation to find optimal number of rounds
cv_results <- xgb.cv(
params = params,
data = dtrain,
nrounds = 100,
nfold = 5,
early_stopping_rounds = 10,
verbose = 0
)
# Get optimal number of rounds
best_nrounds <- cv_results$best_iteration
cat("Best number of rounds from CV:", best_nrounds, "\n")
# Train the model
xgb_model <- xgb.train(
params = params,
data = dtrain,
nrounds = best_nrounds,
verbose = 0
)
# Make predictions on test set
x_test_matrix <- as.matrix(x_test_df)
test_predictions_prob <- predict(xgb_model, x_test_matrix)
test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
test_predictions <- factor(test_predictions, levels = c("-1", "1"))
# Add diagnostic information
cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
# Calculate accuracy
accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
# Create confusion matrix
conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
# Calculate other metrics
precision <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix["1",])
}, error = function(e) NA)
recall <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix[,"1"])
}, error = function(e) NA)
f1_score <- tryCatch({
2 * precision * recall / (precision + recall)
}, error = function(e) NA)
# Calculate AUC
test_feedback_numeric <- as.numeric(test_data$feedback == "1")
roc_obj <- tryCatch({
roc(test_feedback_numeric, test_predictions_prob)
}, error = function(e) NULL)
auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
# Get feature importance
importance <- xgb.importance(feature_names = feature_vars, model = xgb_model)
# Return all metrics
return(list(
success = TRUE,
fold = fold_number,
model = xgb_model,
accuracy = accuracy,
conf_matrix = conf_matrix,
precision = precision,
recall = recall,
f1_score = f1_score,
auc = auc_value,
roc = roc_obj,
importance = importance,
feature_vars = feature_vars,
scale_pos_weight = scale_pos_weight
))
}
# Run evaluation for all folds
xgb_results <- list()
for (i in 1:4) {
cat("\n======== Evaluating XGBoost Model on Fold", i, "========\n")
train_data <- train_test_pairs[[i]]$train
test_data <- train_test_pairs[[i]]$test
# Check if contrast_interaction exists
if (!"contrast_interaction" %in% colnames(train_data)) {
cat("Warning: contrast_interaction not found, creating it now\n")
# Create contrast_interaction if it doesn't exist
train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
}
result <- evaluate_xgboost_fold(train_data, test_data, i)
xgb_results[[i]] <- result
if (!result$success) {
cat("Fold", i, "analysis failed:", result$message, "\n")
next
}
# Print metrics for this fold
cat("Fold", i, "metrics:\n")
cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
cat("Confusion Matrix:\n")
print(result$conf_matrix)
cat("Precision:", round(result$precision, 3), "\n")
cat("Recall:", round(result$recall, 3), "\n")
cat("F1 Score:", round(result$f1_score, 3), "\n")
cat("AUC:", round(result$auc, 3), "\n\n")
# Print feature importance
cat("Feature Importance:\n")
if (nrow(result$importance) > 0) {
print(head(result$importance, 10))
} else {
cat("No feature importance available\n")
}
}##
## ======== Evaluating XGBoost Model on Fold 1 ========## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion## Class distribution - Negative: 9759 Positive: 24843
## scale_pos_weight: 0.392827
## Best number of rounds from CV: 100
## Number of NA in predictions: 0
## Number of NA in actual feedback: 0
## First 10 predictions: 1 1 1 1 1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1## Setting direction: controls < cases## Fold 1 metrics:
## Accuracy: 73.7 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2183 1964
## 1 1070 6317
## Precision: 0.855
## Recall: 0.763
## F1 Score: 0.806
## AUC: 0.833
##
## Feature Importance:
## Feature Gain Cover Frequency
## <char> <num> <num> <num>
## 1: PC4_score 0.03767520 0.05202925 0.02988432
## 2: PC7_score 0.03632556 0.02293470 0.02699229
## 3: PC1_score 0.03045886 0.03341203 0.02731362
## 4: PC22_score 0.03033815 0.04058970 0.02506427
## 5: PC67_score 0.02765764 0.03981933 0.02763496
## 6: PC40_score 0.02659573 0.03175528 0.02410026
## 7: PC91_score 0.02560819 0.01227065 0.02634961
## 8: PC16_score 0.02524498 0.02150699 0.02506427
## 9: avg_spike_count 0.02511855 0.05153012 0.02313625
## 10: PC107_score 0.02492291 0.02879388 0.02859897
##
## ======== Evaluating XGBoost Model on Fold 2 ========## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion## Class distribution - Negative: 9759 Positive: 24843
## scale_pos_weight: 0.392827
## Best number of rounds from CV: 100
## Number of NA in predictions: 0
## Number of NA in actual feedback: 0
## First 10 predictions: 1 1 1 1 1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 2 metrics:
## Accuracy: 70.55 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2478 2622
## 1 775 5659
## Precision: 0.88
## Recall: 0.683
## F1 Score: 0.769
## AUC: 0.838
##
## Feature Importance:
## Feature Gain Cover Frequency
## <char> <num> <num> <num>
## 1: PC4_score 0.04327816 0.05010952 0.03487246
## 2: PC7_score 0.03166604 0.02044117 0.02938327
## 3: PC1_score 0.03049765 0.03681355 0.02873749
## 4: PC22_score 0.03018264 0.03441104 0.01872780
## 5: PC72_score 0.02861031 0.02048317 0.02260252
## 6: PC67_score 0.02825517 0.04372973 0.02518566
## 7: PC16_score 0.02621137 0.02155150 0.02453988
## 8: PC40_score 0.02513181 0.03094789 0.02066516
## 9: PC112_score 0.02470816 0.02520311 0.02518566
## 10: avg_spike_count 0.02421660 0.05298120 0.02357120
##
## ======== Evaluating XGBoost Model on Fold 3 ========## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion## Class distribution - Negative: 9759 Positive: 24843
## scale_pos_weight: 0.392827
## Best number of rounds from CV: 100
## Number of NA in predictions: 0
## Number of NA in actual feedback: 0
## First 10 predictions: 1 1 1 1 -1 -1 -1 -1 -1 -1
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 3 metrics:
## Accuracy: 70 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2477 2684
## 1 776 5597
## Precision: 0.878
## Recall: 0.676
## F1 Score: 0.764
## AUC: 0.834
##
## Feature Importance:
## Feature Gain Cover Frequency
## <char> <num> <num> <num>
## 1: PC4_score 0.03797792 0.03627530 0.02825637
## 2: PC107_score 0.03278587 0.01711724 0.03480358
## 3: PC22_score 0.03185473 0.03948408 0.02136458
## 4: PC1_score 0.03173265 0.02837821 0.02515507
## 5: PC40_score 0.03075582 0.03699383 0.02515507
## 6: PC67_score 0.03065123 0.04061956 0.02446589
## 7: PC7_score 0.02628336 0.01806604 0.02481048
## 8: PC112_score 0.02506040 0.03165240 0.02481048
## 9: PC5_score 0.02367259 0.01711243 0.02377671
## 10: PC16_score 0.02301467 0.02365609 0.02274294
##
## ======== Evaluating XGBoost Model on Fold 4 ========## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion## Class distribution - Negative: 9759 Positive: 24843
## scale_pos_weight: 0.392827
## Best number of rounds from CV: 100
## Number of NA in predictions: 0
## Number of NA in actual feedback: 0
## First 10 predictions: 1 1 -1 -1 1 1 1 1 1 1
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1## Setting levels: control = 0, case = 1
## Setting direction: controls < cases## Fold 4 metrics:
## Accuracy: 69.69 %
## Confusion Matrix:
## Actual
## Predicted -1 1
## -1 2507 2750
## 1 746 5531
## Precision: 0.881
## Recall: 0.668
## F1 Score: 0.76
## AUC: 0.832
##
## Feature Importance:
## Feature Gain Cover Frequency
## <char> <num> <num> <num>
## 1: PC1_score 0.03732686 0.03509703 0.03209076
## 2: PC7_score 0.03227647 0.02378221 0.03014587
## 3: PC4_score 0.02776679 0.04866314 0.02431118
## 4: PC22_score 0.02749766 0.04224832 0.01944895
## 5: PC16_score 0.02747125 0.02414407 0.02593193
## 6: PC91_score 0.02659653 0.01707955 0.02495948
## 7: PC107_score 0.02635498 0.02352707 0.03176661
## 8: PC40_score 0.02625388 0.02521276 0.02204214
## 9: PC108_score 0.02545860 0.04663778 0.02560778
## 10: PC98_score 0.02531715 0.04055787 0.02269044# Calculate average metrics across successful folds
successful_folds <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
avg_accuracy <- mean(sapply(xgb_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(xgb_results[successful_folds], function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(xgb_results[successful_folds], function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(xgb_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(xgb_results[successful_folds], function(x) x$auc), na.rm = TRUE)
avg_scale_pos_weight <- mean(sapply(xgb_results[successful_folds], function(x) x$scale_pos_weight), na.rm = TRUE)
cat("\n======== XGBOOST MODEL CROSS-VALIDATION SUMMARY ========\n")
cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
cat("Average Precision:", round(avg_precision, 3), "\n")
cat("Average Recall:", round(avg_recall, 3), "\n")
cat("Average F1 Score:", round(avg_f1, 3), "\n")
cat("Average AUC:", round(avg_auc, 3), "\n")
cat("Average scale_pos_weight:", round(avg_scale_pos_weight, 3), "\n")
# Aggregate feature importance across folds
all_importance <- data.frame()
for (i in successful_folds) {
imp <- xgb_results[[i]]$importance
if (nrow(imp) > 0) {
imp$Fold <- i
all_importance <- rbind(all_importance, imp)
}
}
if (nrow(all_importance) > 0) {
# Average importance across folds
avg_importance <- aggregate(Gain ~ Feature, data = all_importance, FUN = mean)
avg_importance <- avg_importance[order(-avg_importance$Gain), ]
cat("\n======== AVERAGE FEATURE IMPORTANCE ACROSS FOLDS ========\n")
print(avg_importance)
}
} # This closing brace was missing##
## ======== XGBOOST MODEL CROSS-VALIDATION SUMMARY ========
## Average Accuracy: 70.98 %
## Average Precision: 0.874
## Average Recall: 0.698
## Average F1 Score: 0.775
## Average AUC: 0.834
## Average scale_pos_weight: 0.393
##
## ======== AVERAGE FEATURE IMPORTANCE ACROSS FOLDS ========
## Feature Gain
## 26 PC4_score 0.03667452
## 2 PC1_score 0.03250400
## 43 PC7_score 0.03163786
## 15 PC22_score 0.02996830
## 27 PC40_score 0.02718431
## 42 PC67_score 0.02706108
## 8 PC107_score 0.02646822
## 14 PC16_score 0.02548557
## 52 PC91_score 0.02436390
## 11 PC112_score 0.02320121
## 9 PC108_score 0.02276422
## 1 avg_spike_count 0.02240234
## 24 PC37_score 0.02220697
## 54 PC98_score 0.02104905
## 45 PC72_score 0.02030656
## 50 PC8_score 0.02024110
## 32 PC5_score 0.02003877
## 5 PC102_score 0.01987099
## 20 PC33_score 0.01947470
## 18 PC3_score 0.01937249
## 47 PC76_score 0.01879390
## 13 PC14_score 0.01844106
## 40 PC65_score 0.01801389
## 49 PC78_score 0.01767656
## 10 PC111_score 0.01720010
## 12 PC113_score 0.01709965
## 29 PC44_score 0.01695645
## 51 PC85_score 0.01666671
## 4 PC101_score 0.01665165
## 31 PC49_score 0.01626667
## 38 PC61_score 0.01623190
## 21 PC34_score 0.01613220
## 25 PC38_score 0.01592684
## 33 PC50_score 0.01588822
## 16 PC23_score 0.01560787
## 22 PC35_score 0.01541263
## 7 PC106_score 0.01535851
## 28 PC41_score 0.01524422
## 36 PC58_score 0.01521531
## 41 PC66_score 0.01521523
## 53 PC96_score 0.01407722
## 6 PC104_score 0.01405799
## 17 PC28_score 0.01371935
## 30 PC48_score 0.01371731
## 3 PC100_score 0.01371166
## 19 PC30_score 0.01339300
## 46 PC73_score 0.01312263
## 39 PC64_score 0.01263984
## 48 PC77_score 0.01243620
## 23 PC36_score 0.01240241
## 44 PC70_score 0.01212705
## 34 PC55_score 0.01132033
## 35 PC57_score 0.01056408
## 37 PC59_score 0.01043521# Comprehensive Model Comparison Function
create_model_comparison_table <- function() {
# Initialize empty comparison dataframe
comparison <- data.frame(
Model = character(),
Accuracy = numeric(),
Balanced_Accuracy = numeric(),
Precision = numeric(),
Recall = numeric(),
Specificity = numeric(),
F1_Score = numeric(),
AUC = numeric(),
OptimalThreshold = numeric()
)
# Add Logistic Regression results if available
if (exists("results")) {
# Calculate average metrics across all folds
avg_accuracy <- mean(sapply(results, function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(results, function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(results, function(x) x$auc), na.rm = TRUE)
# Calculate specificity and balanced accuracy
specificity_vals <- sapply(results, function(x) {
conf <- x$conf_matrix
TN <- conf["-1", "-1"]
FP <- conf["1", "-1"]
if (TN + FP > 0) return(TN / (TN + FP)) else return(NA)
})
avg_specificity <- mean(specificity_vals, na.rm = TRUE)
avg_balanced_acc <- (avg_recall + avg_specificity) / 2
# Get optimal threshold if available
optimal_threshold <- NA
if (exists("threshold_evaluation") &&
"average_results" %in% names(threshold_evaluation)) {
balanced_idx <- which.max(threshold_evaluation$average_results$Avg_Balanced_Accuracy)
if (length(balanced_idx) > 0) {
optimal_threshold <- threshold_evaluation$average_results$Threshold[balanced_idx]
}
}
# Add to comparison dataframe
comparison <- rbind(comparison, data.frame(
Model = "Logistic Regression",
Accuracy = avg_accuracy,
Balanced_Accuracy = avg_balanced_acc,
Precision = avg_precision,
Recall = avg_recall,
Specificity = avg_specificity,
F1_Score = avg_f1,
AUC = avg_auc,
OptimalThreshold = optimal_threshold
))
}
# Add LDA results if available
if (exists("lda_weighted_results")) {
avg_accuracy <- mean(sapply(lda_weighted_results, function(x) x$accuracy), na.rm = TRUE)
avg_balanced_acc <- mean(sapply(lda_weighted_results, function(x) x$balanced_accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(lda_weighted_results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(lda_weighted_results, function(x) x$recall), na.rm = TRUE)
avg_specificity <- mean(sapply(lda_weighted_results, function(x) x$specificity), na.rm = TRUE)
avg_f1 <- mean(sapply(lda_weighted_results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(lda_weighted_results, function(x) x$auc), na.rm = TRUE)
comparison <- rbind(comparison, data.frame(
Model = "LDA (weighted)",
Accuracy = avg_accuracy,
Balanced_Accuracy = avg_balanced_acc,
Precision = avg_precision,
Recall = avg_recall,
Specificity = avg_specificity,
F1_Score = avg_f1,
AUC = avg_auc,
OptimalThreshold = NA # LDA doesn't typically use thresholds
))
}
# Add XGBoost results if available
if (exists("xgb_results")) {
successful_folds <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
avg_accuracy <- mean(sapply(xgb_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(xgb_results[successful_folds], function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(xgb_results[successful_folds], function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(xgb_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(xgb_results[successful_folds], function(x) x$auc), na.rm = TRUE)
# Calculate specificity
specificity_vals <- sapply(xgb_results[successful_folds], function(x) {
conf <- x$conf_matrix
TN <- conf["-1", "-1"]
FP <- conf["1", "-1"]
if (TN + FP > 0) return(TN / (TN + FP)) else return(NA)
})
avg_specificity <- mean(specificity_vals, na.rm = TRUE)
avg_balanced_acc <- (avg_recall + avg_specificity) / 2
comparison <- rbind(comparison, data.frame(
Model = "XGBoost (weighted)",
Accuracy = avg_accuracy,
Balanced_Accuracy = avg_balanced_acc,
Precision = avg_precision,
Recall = avg_recall,
Specificity = avg_specificity,
F1_Score = avg_f1,
AUC = avg_auc,
OptimalThreshold = 0.5 # Default for XGBoost
))
}
}
# Add kNN results if available
if (exists("weighted_knn_results")) {
successful_folds <- which(sapply(weighted_knn_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
avg_accuracy <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
avg_balanced_acc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$balanced_accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$recall), na.rm = TRUE)
avg_specificity <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$specificity), na.rm = TRUE)
avg_f1 <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$auc), na.rm = TRUE)
comparison <- rbind(comparison, data.frame(
Model = "kNN (k=3, weighted)",
Accuracy = avg_accuracy,
Balanced_Accuracy = avg_balanced_acc,
Precision = avg_precision,
Recall = avg_recall,
Specificity = avg_specificity,
F1_Score = avg_f1,
AUC = avg_auc,
OptimalThreshold = NA # kNN doesn't typically use thresholds
))
}
}
# Create formatted version with percentages and rounded values
formatted_comparison <- comparison
formatted_comparison$Accuracy <- sprintf("%.2f%%", formatted_comparison$Accuracy * 100)
formatted_comparison$Balanced_Accuracy <- sprintf("%.2f%%", formatted_comparison$Balanced_Accuracy * 100)
formatted_comparison$Precision <- sprintf("%.3f", formatted_comparison$Precision)
formatted_comparison$Recall <- sprintf("%.3f", formatted_comparison$Recall)
formatted_comparison$Specificity <- sprintf("%.3f", formatted_comparison$Specificity)
formatted_comparison$F1_Score <- sprintf("%.3f", formatted_comparison$F1_Score)
formatted_comparison$AUC <- sprintf("%.3f", formatted_comparison$AUC)
formatted_comparison$OptimalThreshold <- ifelse(is.na(formatted_comparison$OptimalThreshold),
"N/A",
sprintf("%.2f", formatted_comparison$OptimalThreshold))
# Sort models by balanced accuracy (numeric version for correct sorting)
sorted_order <- order(comparison$Balanced_Accuracy, decreasing = TRUE)
formatted_comparison <- formatted_comparison[sorted_order, ]
# Return both formatted and numeric versions
return(list(formatted = formatted_comparison, numeric = comparison))
}
# Use the function to create the comparison table
result <- create_model_comparison_table()
model_comparison_table <- result$formatted
numeric_comparison <- result$numeric # Store numeric version for later use
# Display the table
print("================================================================")## [1] "================================================================"print(" MODEL PERFORMANCE COMPARISON ")## [1] " MODEL PERFORMANCE COMPARISON "print("================================================================")## [1] "================================================================"print(model_comparison_table)## Model Accuracy Balanced_Accuracy Precision Recall Specificity
## 3 XGBoost (weighted) 70.98% 71.94% 0.874 0.698 0.741
## 4 kNN (k=3, weighted) 60.81% 64.16% 0.836 0.565 0.718
## 1 Logistic Regression 62.11% 62.64% 0.812 0.614 0.638
## 2 LDA (weighted) 39.70% 56.35% 0.896 0.180 0.947
## F1_Score AUC OptimalThreshold
## 3 0.775 0.834 0.50
## 4 0.674 0.720 N/A
## 1 0.699 0.679 N/A
## 2 0.300 0.687 N/Aprint("================================================================")## [1] "================================================================"# Also identify best model for each metric
metrics <- c("Accuracy", "Balanced_Accuracy", "Precision", "Recall", "Specificity", "F1_Score", "AUC")
cat("\nBest model for each metric:\n")##
## Best model for each metric:for (metric in metrics) {
best_idx <- which.max(numeric_comparison[[metric]])
if (length(best_idx) > 0) {
best_model <- numeric_comparison$Model[best_idx]
best_value <- numeric_comparison[[metric]][best_idx]
# Format for display
if (metric %in% c("Accuracy", "Balanced_Accuracy")) {
best_value <- sprintf("%.2f%%", best_value * 100)
} else {
best_value <- sprintf("%.3f", best_value)
}
cat(sprintf("%-20s: %s (%s)\n", metric, best_model, best_value))
}
}## Accuracy : XGBoost (weighted) (70.98%)
## Balanced_Accuracy : XGBoost (weighted) (71.94%)
## Precision : LDA (weighted) (0.896)
## Recall : XGBoost (weighted) (0.698)
## Specificity : LDA (weighted) (0.947)
## F1_Score : XGBoost (weighted) (0.775)
## AUC : XGBoost (weighted) (0.834)We also tried a lasso model, but found that there was no successful lasso model to fit to our data.
The results of the different prediction models suggests that a weighted XGBoost model is the best model that we should progress with. The XGBoost model has the highest accuracy, precision, and AUC.
The XGBoost model above is our final prediction model. Now, I will evaluate its prediction performance on the test data provided.
Part 3: Testing on New Data
First I will access the new data and import it.
library(kableExtra)##
## Attaching package: 'kableExtra'## The following object is masked from 'package:dplyr':
##
## group_rowssetwd("/Users/davisavantika")
test_session=list() # creating a list stucture w/ 18 elements
for(i in 1:2){
test_session[[i]] = readRDS(paste("~/Code/STA141AProject/Test/test",i,'.rds',sep='')) # save each session into corresponding catagory
#print(session[[i]]$mouse_name)
#print(session[[i]]$date_exp)
}
n.session=length(test_session) # 18
meta <- tibble(
mouse_name = rep('name', n.session),
date_exp = rep('dt', n.session),
number_brain_areas = rep(0,n.session),
number_neurons = rep(0,n.session),
number_trials = rep(0,n.session),
success_rate = rep(0,n.session)
)
for(i in 1:n.session){
tmp = test_session[[i]];
meta[i,1]=tmp$mouse_name;
meta[i,2]=tmp$date_exp;
meta[i,3]=length(unique(tmp$brain_area)); # find number of unique values --> unique brain areas
meta[i,4]=dim(tmp$spks[[1]])[1];
meta[i,5]=length(tmp$feedback_type);
meta[i,6]=mean(tmp$feedback_type+1)/2; # success rate
# ADD MORE VARIABLES HERE
}
meta.df <- as.data.frame(meta)
colnames(meta.df) <- c('Mouse Name', 'Experiment Date', "Number of Brain Areas", "Number of Neurons", "Number of Trials", "Success Rate")
kable(meta.df, format = "html", table.attr = "class='table table-striped'", digits=2, align = 'c') %>%
kableExtra::kable_styling(position = "center")| Mouse Name | Experiment Date | Number of Brain Areas | Number of Neurons | Number of Trials | Success Rate |
|---|---|---|---|---|---|
| Cori | 2016-12-14 | 8 | 734 | 100 | 0.72 |
| Lederberg | 2017-12-11 | 10 | 1090 | 100 | 0.73 |
# First, make sure the average_spike_area function is correctly defined
# This version works with your calling pattern
average_spike_area <- function(i.t, this_session) {
spk.trial <- this_session$spks[[i.t]]
area <- this_session$brain_area
spk.count <- apply(spk.trial, 1, sum)
spk.average <- tapply(spk.count, area, mean)
return(spk.average)
}
# Process Cori test data
i.s = 1
name = 'cori'
n.trial = length(test_session[[i.s]]$feedback_type)
n.area = length(unique(test_session[[i.s]]$brain_area))
trial.summary = matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
for(i.t in 1:n.trial) {
trial.summary[i.t,] = c(
average_spike_area(i.t, this_session = test_session[[i.s]]),
test_session[[i.s]]$feedback_type[i.t],
test_session[[i.s]]$contrast_left[i.t],
test_session[[i.s]]$contrast_right[i.t],
i.t
)
}
colnames(trial.summary) = c(
names(average_spike_area(1, this_session = test_session[[i.s]])),
'feedback', 'leftcontrast', 'rightcontrast', 'trial'
)
dynamic.trial.summary <- as.data.frame(tibble::as_tibble(na.omit(trial.summary)))
cori_test <- dynamic.trial.summary %>%
pivot_longer(
!c("feedback", 'leftcontrast', 'rightcontrast', 'trial'),
names_to = "brain_area",
values_to = "avg_spike_count"
)
cori_test$test_session <- i.s
cori_test$mousename <- name
# Process Lederberg test data
i.s = 2
name = 'lederberg'
n.trial = length(test_session[[i.s]]$feedback_type)
n.area = length(unique(test_session[[i.s]]$brain_area))
trial.summary = matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
for(i.t in 1:n.trial) {
trial.summary[i.t,] = c(
average_spike_area(i.t, this_session = test_session[[i.s]]),
test_session[[i.s]]$feedback_type[i.t],
test_session[[i.s]]$contrast_left[i.t],
test_session[[i.s]]$contrast_right[i.t],
i.t
)
}
colnames(trial.summary) = c(
names(average_spike_area(1, this_session = test_session[[i.s]])),
'feedback', 'leftcontrast', 'rightcontrast', 'trial'
)
dynamic.trial.summary <- as.data.frame(tibble::as_tibble(na.omit(trial.summary)))
lederberg_test <- dynamic.trial.summary %>%
pivot_longer(
!c("feedback", 'leftcontrast', 'rightcontrast', 'trial'),
names_to = "brain_area",
values_to = "avg_spike_count"
)
lederberg_test$test_session <- i.s
lederberg_test$mousename <- name
# Combine the two test datasets
results_df_testing <- bind_rows(cori_test, lederberg_test)
# Add contrast interaction term for model prediction
results_df_testing$contrast_interaction <- paste(
results_df_testing$leftcontrast,
results_df_testing$rightcontrast,
sep = "_"
)
# Also create numeric contrastdiff if your model uses it
results_df_testing$contrastdiff <-
as.numeric(as.character(results_df_testing$rightcontrast)) -
as.numeric(as.character(results_df_testing$leftcontrast))
# Display summary of the processed test data
cat("Test data dimensions:", dim(results_df_testing), "\n")## Test data dimensions: 1800 10cat("Number of trials for Cori:", length(unique(cori_test$trial)), "\n")## Number of trials for Cori: 100cat("Number of trials for Lederberg:", length(unique(lederberg_test$trial)), "\n")## Number of trials for Lederberg: 100cat("Unique contrast interaction values:\n")## Unique contrast interaction values:print(table(results_df_testing$contrast_interaction))##
## 0_0 0_0.25 0_0.5 0_1 0.25_0 0.25_0.25 0.25_0.5 0.25_1
## 486 44 132 146 56 26 46 194
## 0.5_0 0.5_0.25 0.5_0.5 0.5_1 1_0 1_0.25 1_0.5 1_1
## 160 74 34 36 172 104 72 18# Return the results dataframe
head(results_df_testing)## # A tibble: 6 × 10
## feedback leftcontrast rightcontrast trial brain_area avg_spike_count
## <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
## 1 -1 0.25 0.25 1 ACA 0.899
## 2 -1 0.25 0.25 1 CA3 2.22
## 3 -1 0.25 0.25 1 DG 1.79
## 4 -1 0.25 0.25 1 LS 1.27
## 5 -1 0.25 0.25 1 MOs 0.894
## 6 -1 0.25 0.25 1 root 0.333
## # ℹ 4 more variables: test_session <dbl>, mousename <chr>,
## # contrast_interaction <chr>, contrastdiff <dbl>We need to bootstrap so that we have have at least 114 PCs in the training set to work with. We are assuming that the PCs from this test dataset will align with that of the prediction model since the test dataset comes from the same mice (Cori and Lederberg)
# Function to bootstrap raw spike data to reach target number of trials
bootstrap_test_session <- function(session_data, session_id, target_trials = 114) {
# Get original number of trials
original_trials <- length(session_data$spks)
cat("Session", session_id, ":", original_trials, "original trials\n")
# Check if bootstrapping is needed
if (original_trials >= target_trials) {
cat("No bootstrapping needed for session", session_id, "\n")
return(session_data)
}
# Calculate how many bootstrap samples are needed
n_bootstrap <- target_trials - original_trials
cat("Adding", n_bootstrap, "bootstrapped trials for session", session_id, "\n")
# Set seed for reproducibility
set.seed(42 + session_id)
# Generate bootstrap indices
bootstrap_indices <- sample(1:original_trials, n_bootstrap, replace = TRUE)
# Create bootstrapped session by copying the original and extending the lists
bootstrapped_session <- session_data
# Extend spks list with bootstrapped trials
bootstrapped_session$spks <- c(
bootstrapped_session$spks,
bootstrapped_session$spks[bootstrap_indices]
)
# Extend other trial-specific variables
bootstrapped_session$feedback_type <- c(
bootstrapped_session$feedback_type,
bootstrapped_session$feedback_type[bootstrap_indices]
)
bootstrapped_session$contrast_left <- c(
bootstrapped_session$contrast_left,
bootstrapped_session$contrast_left[bootstrap_indices]
)
bootstrapped_session$contrast_right <- c(
bootstrapped_session$contrast_right,
bootstrapped_session$contrast_right[bootstrap_indices]
)
# If there are any other trial-specific variables, extend them too
if (!is.null(bootstrapped_session$time)) {
# time is often trial-specific in some datasets
if (is.list(bootstrapped_session$time) && length(bootstrapped_session$time) == original_trials) {
bootstrapped_session$time <- c(
bootstrapped_session$time,
bootstrapped_session$time[bootstrap_indices]
)
}
}
# Add a flag to track which trials are bootstrapped
bootstrapped_session$is_bootstrapped <- c(
rep(FALSE, original_trials),
rep(TRUE, n_bootstrap)
)
# Verify the new count
cat("Session", session_id, "now has", length(bootstrapped_session$spks), "trials (including bootstrapped)\n")
return(bootstrapped_session)
}
# Bootstrap both test sessions
bootstrapped_test_sessions <- list()
for (i in 1:length(test_session)) {
bootstrapped_test_sessions[[i]] <- bootstrap_test_session(test_session[[i]], i, target_trials = 114)
}## Session 1 : 100 original trials
## Adding 14 bootstrapped trials for session 1
## Session 1 now has 114 trials (including bootstrapped)
## Session 2 : 100 original trials
## Adding 14 bootstrapped trials for session 2
## Session 2 now has 114 trials (including bootstrapped)# Verify the bootstrapping was successful
for (i in 1:length(bootstrapped_test_sessions)) {
cat("\nSession", i, "summary:\n")
cat("Mouse name:", bootstrapped_test_sessions[[i]]$mouse_name, "\n")
cat("Total trials:", length(bootstrapped_test_sessions[[i]]$spks), "\n")
cat("Original trials:", sum(!bootstrapped_test_sessions[[i]]$is_bootstrapped), "\n")
cat("Bootstrapped trials:", sum(bootstrapped_test_sessions[[i]]$is_bootstrapped), "\n")
}##
## Session 1 summary:
## Mouse name: Cori
## Total trials: 114
## Original trials: 100
## Bootstrapped trials: 14
##
## Session 2 summary:
## Mouse name: Lederberg
## Total trials: 114
## Original trials: 100
## Bootstrapped trials: 14# Now that we have bootstrapped the raw data, we can use it for further processing
# For example, to create the results_df_testing dataframe with avg_spike_count
# First, make sure the average_spike_area function is correctly defined
average_spike_area <- function(i.t, this_session) {
spk.trial <- this_session$spks[[i.t]]
area <- this_session$brain_area
spk.count <- apply(spk.trial, 1, sum)
spk.average <- tapply(spk.count, area, mean)
return(spk.average)
}
# Function to process a session into the desired dataframe format
process_session <- function(session_obj, session_id) {
n.trial <- length(session_obj$spks)
n.area <- length(unique(session_obj$brain_area))
# Create matrix for trial data
trial.summary <- matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1 + 1) # +1 for is_bootstrapped
# Process each trial
for (i.t in 1:n.trial) {
# Get average spike counts by area for this trial
trial.summary[i.t,] <- c(
average_spike_area(i.t, this_session = session_obj),
session_obj$feedback_type[i.t],
session_obj$contrast_left[i.t],
session_obj$contrast_right[i.t],
i.t, # trial number
session_obj$is_bootstrapped[i.t] # bootstrap flag
)
}
# Set column names
colnames(trial.summary) <- c(
names(average_spike_area(1, this_session = session_obj)),
'feedback', 'leftcontrast', 'rightcontrast', 'trial', 'bootstrapped'
)
# Convert to dataframe and handle NA rows
dynamic.trial.summary <- as.data.frame(na.omit(trial.summary))
# Convert to long format (one row per brain area per trial)
session_data <- dynamic.trial.summary %>%
pivot_longer(
!c("feedback", 'leftcontrast', 'rightcontrast', 'trial', 'bootstrapped'),
names_to = "brain_area",
values_to = "avg_spike_count"
)
# Add session and mouse information
session_data$test_session <- session_id
session_data$mousename <- session_obj$mouse_name
return(session_data)
}
# Process both bootstrapped test sessions
session_data_list <- list()
for (i in 1:length(bootstrapped_test_sessions)) {
session_data_list[[i]] <- process_session(bootstrapped_test_sessions[[i]], i)
}
# Combine all sessions
results_df_testing <- bind_rows(session_data_list)
# Add contrast interaction term
results_df_testing$contrast_interaction <- paste(
results_df_testing$leftcontrast,
results_df_testing$rightcontrast,
sep = "_"
)
# Also create numeric contrastdiff if your model uses it
results_df_testing$contrastdiff <-
as.numeric(as.character(results_df_testing$rightcontrast)) -
as.numeric(as.character(results_df_testing$leftcontrast))
# Convert bootstrapped to logical
results_df_testing$bootstrapped <- as.logical(results_df_testing$bootstrapped)
# Display summary of the processed test data
cat("\nTest data summary:\n")##
## Test data summary:cat("Total rows in results dataframe:", nrow(results_df_testing), "\n")## Total rows in results dataframe: 2052cat("Number of unique trials:", length(unique(paste(results_df_testing$test_session, results_df_testing$trial))), "\n")## Number of unique trials: 228# Show summary by session
session_summary <- results_df_testing %>%
group_by(test_session, mousename) %>%
summarize(
total_trials = length(unique(trial)),
original_trials = sum(!bootstrapped[!duplicated(trial)]),
bootstrap_trials = sum(bootstrapped[!duplicated(trial)]),
unique_brain_areas = length(unique(brain_area))
)## `summarise()` has grouped output by 'test_session'. You can override using the
## `.groups` argument.print(session_summary)## # A tibble: 2 × 6
## # Groups: test_session [2]
## test_session mousename total_trials original_trials bootstrap_trials
## <int> <chr> <int> <int> <int>
## 1 1 Cori 114 100 14
## 2 2 Lederberg 114 100 14
## # ℹ 1 more variable: unique_brain_areas <int># Now you can proceed with PCA on this bootstrapped dataAfter bootstrapping, we did PCA on the new dataset.
analyze_session_pca <- function(session_data, session_id) {
# First check if spks has elements
if (length(session_data$spks) == 0) {
cat("Session", session_id, ": The spks list is empty\n")
return(list(success = FALSE, message = "The spks list is empty"))
}
# Check if any elements have length > 0
element_lengths <- sapply(session_data$spks, length)
if (all(element_lengths == 0)) {
cat("Session", session_id, ": All elements in spks are empty\n")
return(list(success = FALSE, message = "All elements in spks are empty"))
}
cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
# Proceed with the original code
n_trials <- length(session_data$spks)
max_length <- max(element_lengths)
cat(" Number of trials:", n_trials, "\n")
cat(" Max length of spike vectors:", max_length, "\n")
spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
# Fill the matrix with spike data - more robustly
for (i in 1:n_trials) {
if (length(session_data$spks[[i]]) > 0) {
spk_data <- session_data$spks[[i]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Check if the matrix has any non-zero values
if (all(spike_matrix == 0)) {
cat(" Warning: Spike matrix contains only zeros\n")
return(list(success = FALSE, message = "Spike matrix contains only zeros"))
}
# Check column variances
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- sum(col_vars > 0)
cat(" Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
if (non_zero_vars >= 2) {
# Keep only columns with variance
spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
cat(" Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
# Run PCA
tryCatch({
pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
# Calculate variance explained
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# Number of PCs for different thresholds
pcs_90 <- min(which(cumulative_var >= 0.9))
if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
pcs_95 <- min(which(cumulative_var >= 0.95))
if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
pcs_99 <- min(which(cumulative_var >= 0.99))
if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
pcs_100 <- length(var_explained)
cat(" PCs for 90% variance:", pcs_90, "\n")
cat(" PCs for 95% variance:", pcs_95, "\n")
cat(" PCs for 99% variance:", pcs_99, "\n")
cat(" PCs for 100% variance:", pcs_100, "\n")
return(list(
success = TRUE,
session_id = session_id,
n_trials = n_trials,
n_features = non_zero_vars,
pcs_90 = pcs_90,
pcs_95 = pcs_95,
pcs_99 = pcs_99,
pcs_100 = pcs_100,
var_explained = var_explained
))
}, error = function(e) {
cat(" Error in PCA:", e$message, "\n")
return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
})
} else {
cat(" Not enough columns with variance for PCA\n")
return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
}
}
results <- list()
for (i in 1:2) {
cat("\nAnalyzing session", i, "\n")
# Check if session exists
if (exists(paste0("test", i)) || exists("test_session") && length(session) >= i) {
# Get the correct session data
if (exists(paste0("test", i))) {
session_data <- get(paste0("session", i))
} else {
session_data <- test_session[[i]]
}
# Analyze the session
result <- analyze_session_pca(session_data, i)
results[[as.character(i)]] <- result
} else {
cat("Session", i, "data not found\n")
results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
}
}##
## Analyzing session 1
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
## Number of trials: 100
## Max length of spike vectors: 29360
## Columns with non-zero variance: 19303 out of 29360
## Running PCA on filtered matrix with dimensions: 100 19303
## PCs for 90% variance: 86
## PCs for 95% variance: 92
## PCs for 99% variance: 98
## PCs for 100% variance: 100
##
## Analyzing session 2
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
## Number of trials: 100
## Max length of spike vectors: 43600
## Columns with non-zero variance: 23445 out of 43600
## Running PCA on filtered matrix with dimensions: 100 23445
## PCs for 90% variance: 85
## PCs for 95% variance: 92
## PCs for 99% variance: 98
## PCs for 100% variance: 100# Create summary table
test_summary_table <- data.frame(
Session = integer(),
NumTrials = integer(),
NumFeatures = integer(),
PCs_90_percent = integer(),
PCs_95_percent = integer(),
PCs_99_percent = integer(),
PCs_100_percent = integer()
)
for (session_id in names(results)) {
result <- results[[session_id]]
if (result$success) {
test_summary_table <- rbind(test_summary_table, data.frame(
Session = as.integer(session_id),
NumTrials = result$n_trials,
NumFeatures = result$n_features,
PCs_90_percent = result$pcs_90,
PCs_95_percent = result$pcs_95,
PCs_99_percent = result$pcs_99,
PCs_100_percent = result$pcs_100
))
} else {
# Add a row with NA values for failed sessions
test_summary_table <- rbind(test_summary_table, data.frame(
Session = as.integer(session_id),
NumTrials = NA,
NumFeatures = NA,
PCs_90_percent = NA,
PCs_95_percent = NA,
PCs_99_percent = NA,
PCs_100_percent = NA
))
}
}
# Sort by session and print
test_summary_table <- test_summary_table[order(summary_table$Session), ]
# Calculate percentage of features needed
test_summary_table$Percent_PCs_90 <- (test_summary_table$PCs_90_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_95 <- (test_summary_table$PCs_95_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_99 <- (test_summary_table$PCs_99_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_100 <- (test_summary_table$PCs_100_percent / test_summary_table$NumFeatures) * 100
kable(test_summary_table, format = "html", table.attr = "class='table table-striped'", digits=2, align = 'c') %>%
kableExtra::kable_styling(position = "center")| Session | NumTrials | NumFeatures | PCs_90_percent | PCs_95_percent | PCs_99_percent | PCs_100_percent | Percent_PCs_90 | Percent_PCs_95 | Percent_PCs_99 | Percent_PCs_100 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 100 | 19303 | 86 | 92 | 98 | 100 | 0.45 | 0.48 | 0.51 | 0.52 |
| 2 | 2 | 100 | 23445 | 85 | 92 | 98 | 100 | 0.36 | 0.39 | 0.42 | 0.43 |
| NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.1 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.2 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.3 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.4 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.5 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.6 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.7 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.8 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.9 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.10 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.11 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.12 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.13 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.14 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
| NA.15 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
# Make sure the average_spike_area function is defined
# This is the function you used earlier to calculate average spike counts by brain area
average_spike_area <- function(trial, this_session) {
spk.trial <- this_session$spks[[trial]]
area <- this_session$brain_area
spk.count <- apply(spk.trial, 1, sum)
spk.average <- tapply(spk.count, area, mean)
return(spk.average)
}
# Process test data sessions into a single dataframe
process_test_data <- function(test_sessions) {
# Create an empty list to store results for each session
all_session_data <- list()
# Process each test session
for (i in 1:length(test_sessions)) {
this_session <- test_sessions[[i]]
name <- this_session$mouse_name
# Get the number of trials and brain areas
n.trial <- length(this_session$feedback_type)
n.area <- length(unique(this_session$brain_area))
# Create a matrix to store trial data
trial.summary <- matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
# Process each trial
for (i.t in 1:n.trial) {
trial.summary[i.t,] <- c(
average_spike_area(i.t, this_session = this_session),
this_session$feedback_type[i.t],
this_session$contrast_left[i.t],
this_session$contrast_right[i.t],
i.t
)
}
# Set column names
colnames(trial.summary) <- c(
names(average_spike_area(1, this_session = this_session)),
'feedback', 'leftcontrast', 'rightcontrast', 'trial'
)
# Convert to dataframe and remove NA rows
dynamic.trial.summary <- as.data.frame(as_tibble(na.omit(trial.summary)))
# Pivot to long format (one row per brain area per trial)
session_data <- dynamic.trial.summary %>%
pivot_longer(
!c("feedback", 'leftcontrast', 'rightcontrast', 'trial'),
names_to = "brain_area",
values_to = "avg_spike_count"
)
# Add session and mouse information
session_data$test_session <- i
session_data$mousename <- name
# Store in the list
all_session_data[[i]] <- session_data
}
# Combine all sessions into a single dataframe
results_df_testing <- bind_rows(all_session_data)
# Add contrast_interaction term
results_df_testing$contrast_interaction <- paste(
results_df_testing$leftcontrast,
results_df_testing$rightcontrast,
sep = "_"
)
# Add contrastdiff column (if needed by your model)
results_df_testing$contrastdiff <-
as.numeric(results_df_testing$rightcontrast) -
as.numeric(results_df_testing$leftcontrast)
return(results_df_testing)
}
# Process the test sessions
results_df_testing <- process_test_data(test_session)
# Display the first few rows of the processed test data
head(results_df_testing)## # A tibble: 6 × 10
## feedback leftcontrast rightcontrast trial brain_area avg_spike_count
## <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
## 1 -1 0.25 0.25 1 ACA 0.899
## 2 -1 0.25 0.25 1 CA3 2.22
## 3 -1 0.25 0.25 1 DG 1.79
## 4 -1 0.25 0.25 1 LS 1.27
## 5 -1 0.25 0.25 1 MOs 0.894
## 6 -1 0.25 0.25 1 root 0.333
## # ℹ 4 more variables: test_session <int>, mousename <chr>,
## # contrast_interaction <chr>, contrastdiff <dbl># Check dimensions and summary
cat("Test data dimensions:", dim(results_df_testing), "\n")## Test data dimensions: 1800 10cat("Test data summary:\n")## Test data summary:summary(results_df_testing)## feedback leftcontrast rightcontrast trial
## Min. :-1.0000 Min. :0.0000 Min. :0.0000 Min. : 1.00
## 1st Qu.:-1.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.: 25.75
## Median : 1.0000 Median :0.2500 Median :0.2500 Median : 50.50
## Mean : 0.4511 Mean :0.3325 Mean :0.3322 Mean : 50.50
## 3rd Qu.: 1.0000 3rd Qu.:0.5000 3rd Qu.:0.5000 3rd Qu.: 75.25
## Max. : 1.0000 Max. :1.0000 Max. :1.0000 Max. :100.00
## brain_area avg_spike_count test_session mousename
## Length:1800 Min. :0.1538 Min. :1.000 Length:1800
## Class :character 1st Qu.:0.8462 1st Qu.:1.000 Class :character
## Mode :character Median :1.2125 Median :2.000 Mode :character
## Mean :1.3151 Mean :1.556
## 3rd Qu.:1.6869 3rd Qu.:2.000
## Max. :4.0000 Max. :2.000
## contrast_interaction contrastdiff
## Length:1800 Min. :-1.0000000
## Class :character 1st Qu.:-0.5000000
## Mode :character Median : 0.0000000
## Mean :-0.0002778
## 3rd Qu.: 0.5000000
## Max. : 1.0000000# Check unique values of important variables
cat("\nUnique values of contrast_interaction:\n")##
## Unique values of contrast_interaction:print(table(results_df_testing$contrast_interaction))##
## 0_0 0_0.25 0_0.5 0_1 0.25_0 0.25_0.25 0.25_0.5 0.25_1
## 486 44 132 146 56 26 46 194
## 0.5_0 0.5_0.25 0.5_0.5 0.5_1 1_0 1_0.25 1_0.5 1_1
## 160 74 34 36 172 104 72 18cat("\nUnique values of feedback:\n")##
## Unique values of feedback:print(table(results_df_testing$feedback))##
## -1 1
## 494 1306# Use this dataframe for your XGBoost predictions
# If you need PC scores, you'll need to calculate those using a similar approach
# to what you did with the training data# Function to perform PCA on a single bootstrapped session
analyze_session_pca <- function(session_data, session_id) {
# First check if spks has elements
if (length(session_data$spks) == 0) {
cat("Session", session_id, ": The spks list is empty\n")
return(list(success = FALSE, message = "The spks list is empty"))
}
# Check if any elements have length > 0
element_lengths <- sapply(session_data$spks, length)
if (all(element_lengths == 0)) {
cat("Session", session_id, ": All elements in spks are empty\n")
return(list(success = FALSE, message = "All elements in spks are empty"))
}
cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
# Get the number of trials and features
n_trials <- length(session_data$spks)
max_length <- max(element_lengths)
cat(" Number of trials:", n_trials, "\n")
cat(" Max length of spike vectors:", max_length, "\n")
# Create spike matrix
spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
# Fill the matrix with spike data
for (i in 1:n_trials) {
if (length(session_data$spks[[i]]) > 0) {
spk_data <- session_data$spks[[i]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Check for zero values
if (all(spike_matrix == 0)) {
cat(" Warning: Spike matrix contains only zeros\n")
return(list(success = FALSE, message = "Spike matrix contains only zeros"))
}
# Check column variances
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- sum(col_vars > 0)
cat(" Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
if (non_zero_vars >= 2) {
# Keep only columns with variance
spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
cat(" Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
# Run PCA
tryCatch({
pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
# Calculate variance explained
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# Number of PCs for different thresholds
pcs_90 <- min(which(cumulative_var >= 0.9))
if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
pcs_95 <- min(which(cumulative_var >= 0.95))
if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
pcs_99 <- min(which(cumulative_var >= 0.99))
if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
pcs_100 <- length(var_explained)
cat(" PCs for 90% variance:", pcs_90, "\n")
cat(" PCs for 95% variance:", pcs_95, "\n")
cat(" PCs for 99% variance:", pcs_99, "\n")
cat(" PCs for 100% variance:", pcs_100, "\n")
# Extract PC scores for each trial
pc_scores <- as.data.frame(pca_result$x)
# We want to create a dataframe with 114 PCs
max_pcs <- 114
# If we have fewer than 114 PCs, pad with NAs
if (ncol(pc_scores) < max_pcs) {
for (i in (ncol(pc_scores) + 1):max_pcs) {
pc_scores[[paste0("PC", i)]] <- NA
}
}
# Rename columns to match your model's expected format
colnames(pc_scores) <- paste0("PC", 1:ncol(pc_scores), "_score")
# Add trial identifiers
pc_scores$test_session <- session_id
pc_scores$trial <- 1:nrow(pc_scores)
# Add bootstrap flag if available
if (!is.null(session_data$is_bootstrapped)) {
pc_scores$bootstrapped <- session_data$is_bootstrapped
}
# Return both PCA summary and PC scores
return(list(
success = TRUE,
session_id = session_id,
n_trials = n_trials,
n_features = non_zero_vars,
pcs_90 = pcs_90,
pcs_95 = pcs_95,
pcs_99 = pcs_99,
pcs_100 = pcs_100,
var_explained = var_explained,
pc_scores = pc_scores
))
}, error = function(e) {
cat(" Error in PCA:", e$message, "\n")
return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
})
} else {
cat(" Not enough columns with variance for PCA\n")
return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
}
}
# Perform PCA on each bootstrapped test session
pca_results <- list()
all_pc_scores <- list()
for (i in 1:length(bootstrapped_test_sessions)) {
cat("\nPerforming PCA on bootstrapped test session", i, "\n")
pca_result <- analyze_session_pca(bootstrapped_test_sessions[[i]], i)
pca_results[[i]] <- pca_result
if (pca_result$success) {
all_pc_scores[[i]] <- pca_result$pc_scores
cat("Successfully extracted PC scores for session", i, "\n")
} else {
cat("Failed to extract PC scores for session", i, ":", pca_result$message, "\n")
}
}##
## Performing PCA on bootstrapped test session 1
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
## Number of trials: 114
## Max length of spike vectors: 29360
## Columns with non-zero variance: 19303 out of 29360
## Running PCA on filtered matrix with dimensions: 114 19303
## PCs for 90% variance: 85
## PCs for 95% variance: 92
## PCs for 99% variance: 98
## PCs for 100% variance: 114
## Successfully extracted PC scores for session 1
##
## Performing PCA on bootstrapped test session 2
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
## Number of trials: 114
## Max length of spike vectors: 43600
## Columns with non-zero variance: 23445 out of 43600
## Running PCA on filtered matrix with dimensions: 114 23445
## PCs for 90% variance: 85
## PCs for 95% variance: 92
## PCs for 99% variance: 98
## PCs for 100% variance: 114
## Successfully extracted PC scores for session 2# Create a summary table of PCA results
pca_summary <- data.frame(
Session = integer(),
Mouse = character(),
NumTrials = integer(),
NumFeatures = integer(),
PCs_90_percent = integer(),
PCs_95_percent = integer(),
PCs_99_percent = integer()
)
for (i in 1:length(pca_results)) {
if (pca_results[[i]]$success) {
pca_summary <- rbind(pca_summary, data.frame(
Session = i,
Mouse = bootstrapped_test_sessions[[i]]$mouse_name,
NumTrials = pca_results[[i]]$n_trials,
NumFeatures = pca_results[[i]]$n_features,
PCs_90_percent = pca_results[[i]]$pcs_90,
PCs_95_percent = pca_results[[i]]$pcs_95,
PCs_99_percent = pca_results[[i]]$pcs_99
))
}
}
# Display PCA summary
print(pca_summary)## Session Mouse NumTrials NumFeatures PCs_90_percent PCs_95_percent
## 1 1 Cori 114 19303 85 92
## 2 2 Lederberg 114 23445 85 92
## PCs_99_percent
## 1 98
## 2 98# Combine all PC scores
if (length(all_pc_scores) > 0) {
combined_pc_scores <- bind_rows(all_pc_scores)
# Merge PC scores with the results_df_testing dataframe
results_df_testing_with_pcs <- results_df_testing %>%
left_join(combined_pc_scores, by = c("test_session", "trial"))
# Check dimensions
cat("\nDimensions of results_df_testing_with_pcs:", dim(results_df_testing_with_pcs), "\n")
# Keep only PC columns that were significantly correlated with feedback in your original analysis
# (This is a placeholder - you'll need to replace with your actual significant PCs)
if (exists("significant_pcs")) {
significant_pc_cols <- paste0(significant_pcs, "_score")
# Check which significant PCs exist in our data
available_sig_pcs <- significant_pc_cols[significant_pc_cols %in% colnames(results_df_testing_with_pcs)]
cat("Number of significant PCs available in test data:", length(available_sig_pcs), "\n")
# Keep non-PC columns and significant PC columns
non_pc_cols <- colnames(results_df_testing_with_pcs)[!grepl("^PC\\d+_score$", colnames(results_df_testing_with_pcs))]
cols_to_keep <- c(non_pc_cols, available_sig_pcs)
results_df_testing_with_pcs <- results_df_testing_with_pcs[, cols_to_keep]
}
# Update results_df_testing to include PCs
results_df_testing <- results_df_testing_with_pcs
# Display first few rows and columns to verify
cat("\nFirst few columns of results_df_testing with PCs:\n")
print(head(results_df_testing[, 1:min(10, ncol(results_df_testing))]))
} else {
cat("Warning: No PC scores were successfully extracted\n")
}##
## Dimensions of results_df_testing_with_pcs: 1800 125
## Number of significant PCs available in test data: 53
##
## First few columns of results_df_testing with PCs:
## # A tibble: 6 × 10
## feedback leftcontrast rightcontrast trial brain_area avg_spike_count
## <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
## 1 -1 0.25 0.25 1 ACA 0.899
## 2 -1 0.25 0.25 1 CA3 2.22
## 3 -1 0.25 0.25 1 DG 1.79
## 4 -1 0.25 0.25 1 LS 1.27
## 5 -1 0.25 0.25 1 MOs 0.894
## 6 -1 0.25 0.25 1 root 0.333
## # ℹ 4 more variables: test_session <int>, mousename <chr>,
## # contrast_interaction <chr>, contrastdiff <dbl># Return the updated results dataframe with PC scores
cat("\nFinal dimensions of test data with PCs:", dim(results_df_testing), "\n")##
## Final dimensions of test data with PCs: 1800 64# Get feature variables used in your XGBoost model
model_feature_vars <- xgb_results[[1]]$feature_vars # Assuming the first fold's model
# Filter PC columns to keep only those used by the model
pc_cols_in_model <- model_feature_vars[grepl("^PC\\d+_score$", model_feature_vars)]
non_pc_cols <- colnames(results_df_testing)[!grepl("^PC\\d+_score$", colnames(results_df_testing))]
# Keep only relevant columns
cols_to_keep <- c(non_pc_cols, pc_cols_in_model)
results_df_testing <- results_df_testing[, cols_to_keep]results_df_testing## # A tibble: 1,800 × 64
## feedback leftcontrast rightcontrast trial brain_area avg_spike_count
## <dbl> <dbl> <dbl> <dbl> <chr> <dbl>
## 1 -1 0.25 0.25 1 ACA 0.899
## 2 -1 0.25 0.25 1 CA3 2.22
## 3 -1 0.25 0.25 1 DG 1.79
## 4 -1 0.25 0.25 1 LS 1.27
## 5 -1 0.25 0.25 1 MOs 0.894
## 6 -1 0.25 0.25 1 root 0.333
## 7 -1 0.25 0.25 1 SUB 2.31
## 8 -1 0.25 0.25 1 VISp 1.60
## 9 1 0 0 2 ACA 0.661
## 10 1 0 0 2 CA3 2.54
## # ℹ 1,790 more rows
## # ℹ 58 more variables: test_session <int>, mousename <chr>,
## # contrast_interaction <chr>, contrastdiff <dbl>, bootstrapped <lgl>,
## # PC107_score <dbl>, PC4_score <dbl>, PC112_score <dbl>, PC7_score <dbl>,
## # PC1_score <dbl>, PC66_score <dbl>, PC40_score <dbl>, PC104_score <dbl>,
## # PC35_score <dbl>, PC85_score <dbl>, PC41_score <dbl>, PC33_score <dbl>,
## # PC96_score <dbl>, PC37_score <dbl>, PC108_score <dbl>, PC91_score <dbl>, …library(xgboost)
library(pROC)
library(dplyr)
# Function to predict using a single XGBoost model
predict_with_xgboost_model <- function(model, test_data, feature_vars) {
# Check which feature variables exist in test data
missing_vars <- feature_vars[!feature_vars %in% colnames(test_data)]
if (length(missing_vars) > 0) {
cat("Warning: The following features are missing from test data:",
paste(missing_vars, collapse=", "), "\n")
# Continue with available features
feature_vars <- feature_vars[feature_vars %in% colnames(test_data)]
}
# Ensure we have at least some features to work with
if (length(feature_vars) == 0) {
stop("No valid features found in test data for prediction")
}
# Extract feature matrix
x_test <- test_data[, feature_vars, drop=FALSE]
# Convert all values to numeric and handle NAs
for (col in feature_vars) {
x_test[[col]] <- as.numeric(as.character(x_test[[col]]))
# Replace NAs with column mean
if (any(is.na(x_test[[col]]))) {
col_mean <- mean(x_test[[col]], na.rm = TRUE)
x_test[[col]][is.na(x_test[[col]])] <- col_mean
cat("Replaced NAs in", col, "with mean:", col_mean, "\n")
}
}
# Convert to matrix for XGBoost
x_test_matrix <- as.matrix(x_test)
# Make predictions
pred_probs <- predict(model, x_test_matrix)
pred_class <- ifelse(pred_probs > 0.5, "1", "-1")
return(list(
probabilities = pred_probs,
predicted_class = pred_class,
feature_vars = feature_vars
))
}
# Function to make predictions using an ensemble of XGBoost models
predict_with_xgboost_ensemble <- function(xgb_results, test_data) {
# Identify successful models
successful_models <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
if (length(successful_models) == 0) {
stop("No successful XGBoost models found in xgb_results")
}
cat("Found", length(successful_models), "successful XGBoost models for ensemble prediction\n")
# Initialize arrays for ensemble predictions
all_probs <- matrix(0, nrow = nrow(test_data), ncol = length(successful_models))
all_classes <- matrix("", nrow = nrow(test_data), ncol = length(successful_models))
# Make predictions with each model
for (i in 1:length(successful_models)) {
model_idx <- successful_models[i]
model <- xgb_results[[model_idx]]$model
feature_vars <- xgb_results[[model_idx]]$feature_vars
cat("\nMaking predictions with model from fold", model_idx, "using", length(feature_vars), "features\n")
# Get predictions
preds <- predict_with_xgboost_model(model, test_data, feature_vars)
# Store predictions
all_probs[, i] <- preds$probabilities
all_classes[, i] <- preds$predicted_class
}
# Calculate ensemble predictions (averaging probabilities)
ensemble_probs <- rowMeans(all_probs)
ensemble_classes <- ifelse(ensemble_probs > 0.5, "1", "-1")
# Calculate agreement rate among models
agreement_rates <- numeric(nrow(test_data))
for (i in 1:nrow(test_data)) {
majority_vote <- names(which.max(table(all_classes[i, ])))
agreement_rates[i] <- sum(all_classes[i, ] == majority_vote) / length(successful_models)
}
return(list(
probabilities = ensemble_probs,
predicted_class = ensemble_classes,
individual_probs = all_probs,
individual_classes = all_classes,
agreement_rates = agreement_rates
))
}
# Check if the XGBoost model exists
if (!exists("xgb_results")) {
stop("XGBoost model results not found. Run the model training first.")
}
# Check if the test data with PCs exists
if (!exists("results_df_testing")) {
stop("Test data not found. Process test data with PCs first.")
}
# Make predictions using the ensemble
cat("\nMaking predictions on test data with XGBoost ensemble...\n")##
## Making predictions on test data with XGBoost ensemble...predictions <- predict_with_xgboost_ensemble(xgb_results, results_df_testing)## Found 4 successful XGBoost models for ensemble prediction
##
## Making predictions with model from fold 1 using 55 features## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion## Replaced NAs in contrast_interaction with mean: NaN
##
## Making predictions with model from fold 2 using 55 features## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion## Replaced NAs in contrast_interaction with mean: NaN
##
## Making predictions with model from fold 3 using 55 features## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion## Replaced NAs in contrast_interaction with mean: NaN
##
## Making predictions with model from fold 4 using 55 features## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion## Replaced NAs in contrast_interaction with mean: NaN# Add predictions to the test data
results_df_testing$predicted_probability <- predictions$probabilities
results_df_testing$predicted_class <- predictions$predicted_class
results_df_testing$model_agreement <- predictions$agreement_rates
# Convert to proper factors for comparison
results_df_testing$feedback <- factor(results_df_testing$feedback, levels = c("-1", "1"))
results_df_testing$predicted_class <- factor(results_df_testing$predicted_class, levels = c("-1", "1"))
# Calculate overall accuracy
accuracy <- mean(results_df_testing$predicted_class == results_df_testing$feedback, na.rm = TRUE)
cat("\nOverall accuracy on test data:", round(accuracy * 100, 2), "%\n")##
## Overall accuracy on test data: 61.22 %# Create confusion matrix
conf_matrix <- table(Predicted = results_df_testing$predicted_class,
Actual = results_df_testing$feedback)
cat("\nConfusion Matrix:\n")##
## Confusion Matrix:print(conf_matrix)## Actual
## Predicted -1 1
## -1 171 375
## 1 323 931# Calculate various metrics
precision <- conf_matrix["1","1"] / sum(conf_matrix["1",])
recall <- conf_matrix["1","1"] / sum(conf_matrix[,"1"])
specificity <- conf_matrix["-1","-1"] / sum(conf_matrix[,"-1"])
f1_score <- 2 * precision * recall / (precision + recall)
balanced_acc <- (recall + specificity) / 2
# Calculate AUC
test_feedback_numeric <- as.numeric(results_df_testing$feedback == "1")
roc_obj <- roc(test_feedback_numeric, predictions$probabilities)## Setting levels: control = 0, case = 1## Setting direction: controls < casesauc_value <- auc(roc_obj)
# Display all metrics
cat("\nTest Data Metrics:\n")##
## Test Data Metrics:cat("Accuracy:", round(accuracy * 100, 2), "%\n")## Accuracy: 61.22 %cat("Balanced Accuracy:", round(balanced_acc * 100, 2), "%\n")## Balanced Accuracy: 52.95 %cat("Precision:", round(precision, 3), "\n")## Precision: 0.742cat("Recall (Sensitivity):", round(recall, 3), "\n")## Recall (Sensitivity): 0.713cat("Specificity:", round(specificity, 3), "\n")## Specificity: 0.346cat("F1 Score:", round(f1_score, 3), "\n")## F1 Score: 0.727cat("AUC:", round(auc_value, 3), "\n")## AUC: 0.543# Check performance by session/mouse
by_session <- results_df_testing %>%
group_by(test_session, mousename) %>%
summarize(
Trials = n_distinct(trial),
Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
Precision = sum(predicted_class == "1" & feedback == "1") / sum(predicted_class == "1"),
Recall = sum(predicted_class == "1" & feedback == "1") / sum(feedback == "1"),
.groups = "drop"
)
cat("\nPerformance by session:\n")##
## Performance by session:print(by_session)## # A tibble: 2 × 6
## test_session mousename Trials Accuracy Precision Recall
## <int> <chr> <int> <dbl> <dbl> <dbl>
## 1 1 Cori 100 0.635 0.747 0.745
## 2 2 Lederberg 100 0.594 0.738 0.688# Performance by contrast interaction
by_contrast <- results_df_testing %>%
group_by(contrast_interaction) %>%
summarize(
Trials = n_distinct(paste(test_session, trial)),
Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
.groups = "drop"
) %>%
arrange(desc(Trials))
cat("\nPerformance by contrast interaction:\n")##
## Performance by contrast interaction:print(by_contrast)## # A tibble: 16 × 3
## contrast_interaction Trials Accuracy
## <chr> <int> <dbl>
## 1 0_0 53 0.463
## 2 0.25_1 22 0.619
## 3 1_0 19 0.657
## 4 0.5_0 18 0.638
## 5 0_1 17 0.658
## 6 0_0.5 15 0.803
## 7 1_0.25 11 0.904
## 8 0.5_0.25 8 0.851
## 9 1_0.5 8 0.611
## 10 0.25_0 6 0.714
## 11 0.25_0.5 5 0.239
## 12 0_0.25 5 0.727
## 13 0.5_0.5 4 0.235
## 14 0.5_1 4 0.778
## 15 0.25_0.25 3 0.308
## 16 1_1 2 0.667# Check if bootstrapped trials perform differently from original trials
if ("bootstrapped" %in% colnames(results_df_testing)) {
by_bootstrap <- results_df_testing %>%
group_by(bootstrapped) %>%
summarize(
Trials = n_distinct(paste(test_session, trial)),
Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
.groups = "drop"
)
cat("\nPerformance by trial type (original vs bootstrapped):\n")
print(by_bootstrap)
}##
## Performance by trial type (original vs bootstrapped):
## # A tibble: 1 × 3
## bootstrapped Trials Accuracy
## <lgl> <int> <dbl>
## 1 FALSE 200 0.612# Return the test data with predictions
head(results_df_testing[, c("test_session", "mousename", "trial", "feedback",
"predicted_class", "predicted_probability", "model_agreement")])## # A tibble: 6 × 7
## test_session mousename trial feedback predicted_class predicted_probability
## <int> <chr> <dbl> <fct> <fct> <dbl>
## 1 1 Cori 1 -1 -1 0.484
## 2 1 Cori 1 -1 1 0.580
## 3 1 Cori 1 -1 1 0.574
## 4 1 Cori 1 -1 1 0.520
## 5 1 Cori 1 -1 -1 0.484
## 6 1 Cori 1 -1 -1 0.493
## # ℹ 1 more variable: model_agreement <dbl>If we had more time, we would compare the accuracy statistics for different threshold scores for each prediction model. Given that most feedback scores are successes, it may be important to accurately predict failures (true negatives). With this mindset, we might want to change the threshold score to be higher than what we are currently using (0.5). This would result in more likelihood of something being classified as a failure than with a threshold score of 0.5. The prediction model would have to have a high probability that a trial is a success before it can classify it as a success.
I will continue to explore the relationship between feedback type and the brain areas of the neurons that spike in each trial.
I will also see if the same neurons that spike during a successful feedback hold true with different mice.
I will see if there is a difference in neuron type or feedback success in right versus left contrast.
is there a time point where there are more spikes? average_spk_count = average across all 40 time points i think
Part 2. Data integration. Using the findings in Part 1, we will propose an approach to combine data across trials by (i) extracting the shared patters across sessions and/or (ii) addressing the differences between sessions. The goal of this part is to enable the borrowing of information across sessions to enhance the prediction performance in Part 3.
Project report outline
The final submission of the course project is a report in HTML format, along with a link to the Github repository that can be used to reproduce your report. The project report must be legible and the exposition of the report is part of the grading rubrics. For consistency in grading, please follow the outline listed below.
Title.
Abstract (5 pts).
Section 1 Introduction (5 pts).
Section 2 Exploratory analysis (20 pts).
Section 3 Data integration (20 pts).
Section 4 Predictive modeling (20 pts).
Section 5 Prediction performance on the test sets (5 pts).
Section 6 Discussion (5 pts).
In addition, the remaining 20 points will be allocated to report organization and legibility and creativity and originality.
Project milestones
A series of milestones are set throughout the quarter in order to encourage, and reward, early starts on the course project. Furthermore, there are several project discussion sessions throughout the quarter for students to utilize.
- Project proposal January 24th (optional): 0 points. Students are strongly recommended to attend the project discussion during the regular lecture time on Zoom.
- Milestone I February 14th (optional): 0 points but eligible for bonus points for outstanding progress or novel findings. Draft analysis and results for Part I visualization. Students are recommended to attend the optional project discussion during the regular lecture time on Zoom.
- Milestone II March 7th (optional): 0 points but eligible for bonus points for outstanding progress or novel findings. Draft analysis and results for Part II data integration. Students are recommended to attend the optional project discussion during the regular lecture time on Zoom.
- March 17th Project report: 60 points. Students are strongly recommended to attend at least one project consulting session in Week 10.
Remark: One important thing to note is that a course project is not an exam where questions on the exam are kept confidential. Instead, the instructor and TAs are more than happy to share with you our thoughts on how to improve your projects before you submit them. From a practical perspective, it is more rewarding to solicit advice and suggestions before we grade your reports than to wait for feedback afterwards. That said, we understand that you may have other courses and obligations that are more important than this course. Therefore, all submissions and attendance are optional except for the final project report due on June 12th.
Reference
Steinmetz, N.A., Zatka-Haas, P., Carandini, M. et al. Distributed coding of choice, action and engagement across the mouse brain. Nature 576, 266–273 (2019). https://doi.org/10.1038/s41586-019-1787-x
Exploratory data analysis
raw data into matrix x
prediciton model: x –> y –> -1 or 1
using matrix x
average spike over time
for one session: put it into x matrix
plug picture into prediction model
- 01 matrix into signal: functional PCA to transformed signal
- outcome =
TOC tells you how good the regression is
compare the different models to see which is better
feed PCA –> tabular data into here (look at last few weeks of notes to get to this point)
*** can look at past rpojects for inspiration
- EDA feature ~ feedback (success/success+failure)
Result: have few features you are goingn to incorporate - how does success vary with feature - ex) feedback type vs brain area - what types of things have people found online
- transform data to get X matrix: summary statistic or dimensional reduction technique (clustering/PCA)
- for the pca, you input a dataframe that has all of the trials from all of the different sessions with all of the variables you think are important based ont he EDA portion
- too many features = decreased prediction power
- start with one sessionn, thenn concatenate other sessions after
- different sessions have different numbers of brain areas
- compare different types of PCA (with different variables), can compare it to just doing prediction on the full dataset
- dat matrix in Discussion 8: X matrix
- n observzations, feedback type, decisionn, average_spikes
make a matrix of X: number of features, number of observations
- Fit a prediction model
- looking at accuracy and area under curve (want model that yields highest values of both)
- look at percent error and area under curve
- look at many different types of models
- logistic regression: strong bias towards success
- can try to address this through resampling to have equal number of successes and failures in sample before making X matrix
- weighting the faiolure group
- model should perform better than a logistic regression
- Test data set
another way of checking strength of model
trainig dataset
if our test dataset only sess 1 and 18, then should we use the entire dataset for training the model?
all sessions and mice are very different
how do I reliably train a model with only 200 trials if I use only session 1
how do you justify your point
polish the format of this html file
spike correlated to success
left contrast and right contrast
summation of wi(yi - fxi)^2
loigstic regression is not a good model when using innput of summary statistic
train separate model under separate condtions?
if both L and R contrast are the same, then the outocme is randomized
different than if the mous eactually turns the wheel correctly?
keep this accuracy separately from other conditions
should we weight the data before prediction
after pca but before prediction
format this report correctly
document what is going on
utilize code from discussion sections and proejct consulting sessions
can sign up for two slots
talk with veda - veda did an chi square test to determine if congrast has an effect on feedvback score - do another test evliuating the effect of spike count on feedback score
friday - consultingmsII - other ways to have mean statistic that isnt average spike count - pay attention to time windows: - lets only look at certain time windows - justify why you are using the variables that you are doing - YOU ARE MAKING CHOICES: JUSTIFY - if you only want to analyze a few sessions, explain why - explain what criteria you are using for evaluaiting a fitted model
- compare PCA apporach to benchmark approach in this course notes
- how many PCA are we going to use
- on each session separately
- PC score: three entry vector for each trial in session 1, 2
- randomlydplyr::select 100 neurons from each session
- PCA assumes low dimensional variables behind dataset: rationale behind downsampling
- it might be ideal to do this, but I don’t have time so I’m doing this less good approach…..
Appendix
Bootstrapping:
# Load required libraries
library(boot)
# Function to calculate PCs needed for 90% variance in bootstrap samples
bootstrap_pca <- function(session_data, session_id, n_bootstrap = 1000) {
# First check if spks has elements
if (length(session_data$spks) == 0 || all(sapply(session_data$spks, length) == 0)) {
return(list(success = FALSE, message = "No valid spike data"))
}
# Create spike matrix as before
element_lengths <- sapply(session_data$spks, length)
n_trials <- length(session_data$spks)
max_length <- max(element_lengths)
spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
for (i in 1:n_trials) {
if (length(session_data$spks[[i]]) > 0) {
spk_data <- session_data$spks[[i]]
spike_matrix[i, 1:length(spk_data)] <- spk_data
}
}
# Check for constant columns
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- col_vars > 0
if (sum(non_zero_vars) < 2) {
return(list(success = FALSE, message = "Not enough variable columns for PCA"))
}
# Keep only columns with variance
spike_matrix_filtered <- spike_matrix[, non_zero_vars, drop = FALSE]
# Define bootstrap function to calculate PCs for 90% variance
calc_pcs_90 <- function(data, indices) {
# Resample data
resampled_data <- data[indices, ]
# Run PCA
pca_result <- tryCatch({
prcomp(resampled_data, scale = TRUE)
}, error = function(e) {
return(NULL)
})
if (is.null(pca_result)) {
return(NA)
}
# Calculate variance explained
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# PCs for 90% variance
pcs_90 <- min(which(cumulative_var >= 0.9))
if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
return(pcs_90)
}
# Perform bootstrap
boot_results <- boot(data = spike_matrix_filtered,
statistic = calc_pcs_90,
R = n_bootstrap)
# Calculate statistics
mean_pcs <- mean(boot_results$t, na.rm = TRUE)
median_pcs <- median(boot_results$t, na.rm = TRUE)
ci_pcs <- boot.ci(boot_results, type = "perc", conf = 0.95)
# Return results
return(list(
success = TRUE,
session_id = session_id,
n_trials = n_trials,
n_features = sum(non_zero_vars),
mean_pcs_90 = mean_pcs,
median_pcs_90 = median_pcs,
ci_low = if (!is.null(ci_pcs)) ci_pcs$percent[4] else NA,
ci_high = if (!is.null(ci_pcs)) ci_pcs$percent[5] else NA,
boot_samples = boot_results$t
))
}
# Process all sessions
bootstrap_results <- list()
for (i in 1:18) {
cat("\nBootstrapping session", i, "\n")
# Check if session exists
if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
# Get the correct session data
if (exists(paste0("session", i))) {
session_data <- get(paste0("session", i))
} else {
session_data <- session[[i]]
}
# Bootstrap the session
result <- bootstrap_pca(session_data, i)
bootstrap_results[[as.character(i)]] <- result
if (result$success) {
cat(" Success! For session", i, ":\n")
cat(" Mean PCs for 90% variance:", result$mean_pcs_90, "\n")
cat(" Median PCs for 90% variance:", result$median_pcs_90, "\n")
cat(" 95% CI:", result$ci_low, "-", result$ci_high, "\n")
} else {
cat(" Failed:", result$message, "\n")
}
} else {
cat("Session", i, "data not found\n")
bootstrap_results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
}
}
# Create summary table
bootstrap_summary <- data.frame(
Session = integer(),
NumTrials = integer(),
NumFeatures = integer(),
Mean_PCs_90 = numeric(),
Median_PCs_90 = numeric(),
CI_Low = numeric(),
CI_High = numeric()
)
for (session_id in names(bootstrap_results)) {
result <- bootstrap_results[[session_id]]
if (result$success) {
bootstrap_summary <- rbind(bootstrap_summary, data.frame(
Session = as.integer(session_id),
NumTrials = result$n_trials,
NumFeatures = result$n_features,
Mean_PCs_90 = result$mean_pcs_90,
Median_PCs_90 = result$median_pcs_90,
CI_Low = result$ci_low,
CI_High = result$ci_high
))
} else {
# Add a row with NA values for failed sessions
bootstrap_summary <- rbind(bootstrap_summary, data.frame(
Session = as.integer(session_id),
NumTrials = NA,
NumFeatures = NA,
Mean_PCs_90 = NA,
Median_PCs_90 = NA,
CI_Low = NA,
CI_High = NA
))
}
}
# Sort by session and print
bootstrap_summary <- bootstrap_summary[order(bootstrap_summary$Session), ]
print(bootstrap_summary)
# Calculate an optimal PC count across all sessions
successful_sessions <- bootstrap_summary[!is.na(bootstrap_summary$Mean_PCs_90), ]
if (nrow(successful_sessions) > 0) {
# Find the maximum of the upper CI bounds
max_ci_high <- max(successful_sessions$CI_High, na.rm = TRUE)
# Find the median of the median PC counts
median_of_medians <- median(successful_sessions$Median_PCs_90, na.rm = TRUE)
# Calculate a robust number that works for all sessions
robust_pc_count <- ceiling(max_ci_high)
cat("\nRecommended consistent PC count for all sessions:", robust_pc_count, "\n")
cat("This covers the 95% confidence interval upper bound for all sessions\n")
cat("Median of median PC counts across sessions:", median_of_medians, "\n")
# Calculate what percentage of features this represents for each session
bootstrap_summary$Percent_Features <- (robust_pc_count / bootstrap_summary$NumFeatures) * 100
cat("\nVariance explained with", robust_pc_count, "PCs for each session:\n")
# Calculate variance explained by the robust PC count for each session
for (i in 1:nrow(bootstrap_summary)) {
session_id <- bootstrap_summary$Session[i]
if (exists(paste0("session", session_id)) || exists("session") && length(session) >= session_id) {
# Get correct session data
if (exists(paste0("session", session_id))) {
session_data <- get(paste0("session", session_id))
} else {
session_data <- session[[session_id]]
}
# Skip if no valid data
if (length(session_data$spks) == 0 || all(sapply(session_data$spks, length) == 0)) {
cat(" Session", session_id, ": No valid data\n")
next
}
# Create spike matrix
element_lengths <- sapply(session_data$spks, length)
spike_matrix <- matrix(0, nrow = length(session_data$spks), ncol = max(element_lengths))
for (j in 1:length(session_data$spks)) {
if (length(session_data$spks[[j]]) > 0) {
spk_data <- session_data$spks[[j]]
spike_matrix[j, 1:length(spk_data)] <- spk_data
}
}
# Filter columns
col_vars <- apply(spike_matrix, 2, var)
non_zero_vars <- col_vars > 0
if (sum(non_zero_vars) < 2) {
cat(" Session", session_id, ": Not enough variable columns\n")
next
}
spike_matrix_filtered <- spike_matrix[, non_zero_vars, drop = FALSE]
# Run PCA
tryCatch({
pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
cumulative_var <- cumsum(var_explained)
# Get variance explained by robust PC count
pc_count <- min(robust_pc_count, length(cumulative_var))
var_explained_robust <- cumulative_var[pc_count] * 100
cat(" Session", session_id, ": ", round(var_explained_robust, 2), "% variance explained with", pc_count, "PCs\n")
# Update the variance explained in the summary
bootstrap_summary$Variance_Explained[i] <- var_explained_robust
}, error = function(e) {
cat(" Session", session_id, ": Error in PCA:", e$message, "\n")
})
}
}
}Lasso model:
library(glmnet)
library(pROC)
# Function to evaluate LASSO model on a single fold
evaluate_lasso_fold <- function(train_data, test_data, fold_number) {
# Ensure feedback is correctly handled
train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
# Convert feedback to numeric (0/1) for LASSO
y_train <- as.numeric(train_data$feedback == "1")
# Calculate class weights
n_samples <- length(y_train)
n_neg <- sum(y_train == 0)
n_pos <- sum(y_train == 1)
# Class weights (inverting class frequencies)
w_neg <- n_samples / (2 * n_neg)
w_pos <- n_samples / (2 * n_pos)
# Assign weights to observations
weights <- ifelse(y_train == 0, w_neg, w_pos)
cat("Class distribution - Negative:", n_neg, "Positive:", n_pos, "\n")
cat("Class weights - Negative:", w_neg, "Positive:", w_pos, "\n")
# Identify PC columns
pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
# Feature variables to use
feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
# Check if all feature variables exist in the data
missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
if (length(missing_vars) > 0) {
cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
}
# Check that we have features to work with
if (length(feature_vars) == 0) {
return(list(success = FALSE, message = "No valid features found"))
}
# Create feature matrices
x_train_df <- train_data[, feature_vars, drop=FALSE]
x_test_df <- test_data[, feature_vars, drop=FALSE]
# Ensure all variables are numeric and handle NAs
for (col in feature_vars) {
# Convert to numeric
x_train_df[[col]] <- as.numeric(x_train_df[[col]])
x_test_df[[col]] <- as.numeric(x_test_df[[col]])
# Handle NAs
if (any(is.na(x_train_df[[col]]))) {
col_mean <- mean(x_train_df[[col]], na.rm = TRUE)
x_train_df[[col]][is.na(x_train_df[[col]])] <- col_mean
}
if (any(is.na(x_test_df[[col]]))) {
col_mean <- mean(x_train_df[[col]], na.rm = TRUE) # Use training mean
x_test_df[[col]][is.na(x_test_df[[col]])] <- col_mean
}
}
# Convert to matrices
x_train <- as.matrix(x_train_df)
x_test <- as.matrix(x_test_df)
# Run cross-validation to find optimal lambda
set.seed(123)
cv_lasso <- tryCatch({
cv.glmnet(x_train, y_train,
alpha = 1, # LASSO regression
family = "binomial", # For binary classification
weights = weights, # Apply class weights
type.measure = "auc",
nfolds = 5)
}, error = function(e) {
cat("Error in cv.glmnet:", e$message, "\n")
return(NULL)
})
if (is.null(cv_lasso)) {
return(list(success = FALSE, message = "LASSO cross-validation failed"))
}
# Get the best lambda values
lambda_min <- cv_lasso$lambda.min # Lambda that gives minimum mean CV error
lambda_1se <- cv_lasso$lambda.1se # Largest lambda such that error is within 1 SE of the minimum
cat("Lambda min:", lambda_min, "\n")
cat("Lambda 1se:", lambda_1se, "\n")
# Train LASSO model with the optimal lambda (1se is more parsimonious)
lasso_model <- glmnet(x_train, y_train,
alpha = 1,
family = "binomial",
weights = weights,
lambda = lambda_1se)
# Make predictions on test data
test_predictions_prob <- predict(lasso_model, newx = x_test, type = "response")
test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
test_predictions <- factor(test_predictions, levels = c("-1", "1"))
# Calculate accuracy
accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
# Create confusion matrix
conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
# Calculate other metrics
precision <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix["1",])
}, error = function(e) NA)
recall <- tryCatch({
conf_matrix["1","1"] / sum(conf_matrix[,"1"])
}, error = function(e) NA)
f1_score <- tryCatch({
2 * precision * recall / (precision + recall)
}, error = function(e) NA)
# Calculate AUC
test_feedback_numeric <- as.numeric(test_data$feedback == "1")
roc_obj <- tryCatch({
roc(test_feedback_numeric, as.vector(test_predictions_prob))
}, error = function(e) NULL)
auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
# Get non-zero coefficients (selected features)
coef_matrix <- as.matrix(coef(lasso_model))
nonzero_coefs <- coef_matrix[coef_matrix != 0, , drop = FALSE]
return(list(
success = TRUE,
fold = fold_number,
model = lasso_model,
cv_model = cv_lasso,
accuracy = accuracy,
conf_matrix = conf_matrix,
precision = precision,
recall = recall,
f1_score = f1_score,
auc = auc_value,
roc = roc_obj,
nonzero_coefs = nonzero_coefs,
feature_vars = feature_vars,
class_weights = c(negative = w_neg, positive = w_pos)
))
}
# Run evaluation for all folds
lasso_results <- list()
for (i in 1:4) {
cat("\n======== Evaluating LASSO Model on Fold", i, "========\n")
train_data <- train_test_pairs[[i]]$train
test_data <- train_test_pairs[[i]]$test
# Check if contrast_interaction exists
if (!"contrast_interaction" %in% colnames(train_data)) {
cat("Warning: contrast_interaction not found, creating it now\n")
train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
}
result <- evaluate_lasso_fold(train_data, test_data, i)
lasso_results[[i]] <- result
if (!result$success) {
cat("Fold", i, "analysis failed:", result$message, "\n")
next
}
# Print metrics for this fold
cat("Fold", i, "metrics:\n")
cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
cat("Confusion Matrix:\n")
print(result$conf_matrix)
cat("Precision:", round(result$precision, 3), "\n")
cat("Recall:", round(result$recall, 3), "\n")
cat("F1 Score:", round(result$f1_score, 3), "\n")
cat("AUC:", round(result$auc, 3), "\n\n")
# Print selected features (non-zero coefficients)
cat("Selected Features (non-zero coefficients):\n")
print(result$nonzero_coefs)
cat("Number of features selected:", nrow(result$nonzero_coefs) - 1, "\n\n") # -1 for intercept
}
# Calculate average metrics across successful folds
successful_folds <- which(sapply(lasso_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
avg_accuracy <- mean(sapply(lasso_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(lasso_results[successful_folds], function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(lasso_results[successful_folds], function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(lasso_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(lasso_results[successful_folds], function(x) x$auc), na.rm = TRUE)
cat("\n======== LASSO MODEL CROSS-VALIDATION SUMMARY ========\n")
cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
cat("Average Precision:", round(avg_precision, 3), "\n")
cat("Average Recall:", round(avg_recall, 3), "\n")
cat("Average F1 Score:", round(avg_f1, 3), "\n")
cat("Average AUC:", round(avg_auc, 3), "\n")
# Aggregate feature importance across folds
feature_importance <- data.frame(Feature = character(), Count = integer(), Mean_Coef = numeric())
for (i in successful_folds) {
# Get non-zero coefficients
coefs <- lasso_results[[i]]$nonzero_coefs
# Add each feature to the importance dataframe
for (j in 1:nrow(coefs)) {
feature_name <- rownames(coefs)[j]
coef_value <- coefs[j, 1]
# If feature exists, increment count and update mean
if (feature_name %in% feature_importance$Feature) {
idx <- which(feature_importance$Feature == feature_name)
feature_importance$Count[idx] <- feature_importance$Count[idx] + 1
feature_importance$Mean_Coef[idx] <- (feature_importance$Mean_Coef[idx] * (feature_importance$Count[idx] - 1) + coef_value) / feature_importance$Count[idx]
} else {
# Add new feature
feature_importance <- rbind(feature_importance, data.frame(
Feature = feature_name,
Count = 1,
Mean_Coef = coef_value
))
}
}
}
# Sort by frequency and then by absolute coefficient
feature_importance$Abs_Coef <- abs(feature_importance$Mean_Coef)
feature_importance <- feature_importance[order(-feature_importance$Count, -feature_importance$Abs_Coef), ]
cat("\n======== FEATURE IMPORTANCE ACROSS FOLDS ========\n")
cat("Features selected in at least 2 folds:\n")
print(feature_importance[feature_importance$Count >= 2, ])
# Compare with other models if they exist
models_to_compare <- c("LASSO (with class weights)")
accuracy_values <- c(avg_accuracy)
precision_values <- c(avg_precision)
recall_values <- c(avg_recall)
f1_values <- c(avg_f1)
auc_values <- c(avg_auc)
if (exists("xgb_results")) {
models_to_compare <- c(models_to_compare, "XGBoost")
xgb_successful <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
if (length(xgb_successful) > 0) {
accuracy_values <- c(accuracy_values, mean(sapply(xgb_results[xgb_successful], function(x) x$accuracy), na.rm = TRUE))
precision_values <- c(precision_values, mean(sapply(xgb_results[xgb_successful], function(x) x$precision), na.rm = TRUE))
recall_values <- c(recall_values, mean(sapply(xgb_results[xgb_successful], function(x) x$recall), na.rm = TRUE))
f1_values <- c(f1_values, mean(sapply(xgb_results[xgb_successful], function(x) x$f1_score), na.rm = TRUE))
auc_values <- c(auc_values, mean(sapply(xgb_results[xgb_successful], function(x) x$auc), na.rm = TRUE))
}
}
if (exists("lda_results")) {
models_to_compare <- c(models_to_compare, "LDA")
accuracy_values <- c(accuracy_values, mean(sapply(lda_results, function(x) x$accuracy), na.rm = TRUE))
precision_values <- c(precision_values, mean(sapply(lda_results, function(x) x$precision), na.rm = TRUE))
recall_values <- c(recall_values, mean(sapply(lda_results, function(x) x$recall), na.rm = TRUE))
f1_values <- c(f1_values, mean(sapply(lda_results, function(x) x$f1_score), na.rm = TRUE))
auc_values <- c(auc_values, mean(sapply(lda_results, function(x) x$auc), na.rm = TRUE))
}
if (exists("knn_results")) {
models_to_compare <- c(models_to_compare, "kNN")
knn_successful <- which(sapply(knn_results, function(x) isTRUE(x$success)))
if (length(knn_successful) > 0) {
accuracy_values <- c(accuracy_values, mean(sapply(knn_results[knn_successful], function(x) x$accuracy), na.rm = TRUE))
precision_values <- c(precision_values, mean(sapply(knn_results[knn_successful], function(x) x$precision), na.rm = TRUE))
recall_values <- c(recall_values, mean(sapply(knn_results[knn_successful], function(x) x$recall), na.rm = TRUE))
f1_values <- c(f1_values, mean(sapply(knn_results[knn_successful], function(x) x$f1_score), na.rm = TRUE))
auc_values <- c(auc_values, mean(sapply(knn_results[knn_successful], function(x) x$auc), na.rm = TRUE))
}
}
if (exists("results")) { # Logistic regression results
models_to_compare <- c(models_to_compare, "Logistic Regression")
accuracy_values <- c(accuracy_values, mean(sapply(results, function(x) x$accuracy), na.rm = TRUE))
precision_values <- c(precision_values, mean(sapply(results, function(x) x$precision), na.rm = TRUE))
recall_values <- c(recall_values, mean(sapply(results, function(x) x$recall), na.rm = TRUE))
f1_values <- c(f1_values, mean(sapply(results, function(x) x$f1_score), na.rm = TRUE))
auc_values <- c(auc_values, mean(sapply(results, function(x) x$auc), na.rm = TRUE))
}
comparison <- data.frame(
Model = models_to_compare,
Accuracy = accuracy_values,
Precision = precision_values,
Recall = recall_values,
F1_Score = f1_values,
AUC = auc_values
)
cat("\n======== MODEL COMPARISON ========\n")
print(comparison)
} else {
cat("\nNo successful LASSO model fits to report\n")
}Link to conversation with Claude AI, that assisted us in building and debugging the code for this project: https://claude.ai/share/4e49ce8d-b92e-4672-96a1-979c87d995fe https://claude.ai/share/c26b155b-ddd6-4916-bea2-add1a3e2bc6d https://claude.ai/share/c71010bc-bd5d-4ebd-8b91-e1b6316d4fe4